Harsh-7300/clgdata · Datasets at Hugging Face

Unnamed: 0 int64 1 5.86k	Question stringclasses 24 values	Sample ANS stringclasses 24 values	Student ANS stringlengths 1 1.06k	Score float64 0 2.5
857	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	it is a way of finding a comparison point, by which we can compare two algorithm which are used to do the same piece of work but who does more efficiently.	2
858	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic notation is a mathematical notation used to define the run time of an algorithm as the input size reaches infinity. It helps to compare the runtimes of different algorithms without actually calculating their runtimes manually.	1
860	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	1. big-o notation\n2. small-o notation\n3. theta notation	1
861	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Notation like omega , big-O ,little -O etc are asymptotic notation	1
862	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Big and small O.	1
863	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	.	0
867	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	omega ,gamma, theta are the asymptotic notations used for time complexity omega is for average case of a program similarly theta is for worst case of a program and gamma is for best case of a program	2.5
868	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	The asymptotic notations are omega(time), theta(time), ohm(time).	2.5
869	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	asymptotic notation are the mathematical tools which helps to find the time and space complexity of an algorithm	2.5
870	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic notations are defined as\nBig O notation\nBig omega notations\nBig theta notations	2.5
871	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic notations are big O, big omega and big theta. Big O means time taken by algorithm is less than it is written, Big theta means time taken is more than it is written.	2.5
872	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	asymptotic notations are used to denote the maximum time that an algorithm can take in its execution, minimum time that an algorithm can take in its execution and it can also denote that the time complexity of an algorithm lies between maximum time taken and minimum time taken. the asymptotic notations are O(n) omega(n) and theta(n)	2.5
873	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	The 3 asymptotic notations are big omega(maximum time and space required),theta(average time and space required),and the last one which describes the minimum time and space required for the program.	2.5
874	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	asymptotic notations are used for analysis of algorithms for best average and worst case according to their complexities. big O big theta and big omega	2.5
875	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	BIG O notation \n o notation \nthetha notation\nbig omega	2.5
876	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	The asymptotic notations are O(n), theta(n), and omega(n). They are for upper bound, middle bound and lower bound respectively.	2.5
877	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Used to define running time of an algorithm	2.5
878	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic notations are the notations which denote the maximum or we can say that the worst case time scenario and the minimum or the best case time scenario which that particular algorithm will take while executing .	2.5
879	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	the notations to describe the time complexity of algorithm like O(n), etc...	2.5
880	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	These are notations used to define complexities of algorithm , Examples of which are Big O, Big Omega, Small O, Small Omega etc. These notations are used in order to represent complexity of the algorithm we have written and at par helping the programmer to write more efficient code.	2.5
881	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Big O\nBig omega \nBig theta	2.5
882	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic notations are big omega which describes the best case , then theta which describes the average case and the third one describes the worst case.	2
883	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	asymptotic notations includes big omega ,big theta, big oh. These are used to set upper and lower bound of how much time an algorithm will take.	2
884	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	big O, small o, omega are the notations.	2
885	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	big O\nsmall o\ntheta\n\n	2
886	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic notations are the notations used to analyse the time and space complexity of different algorithms and hence it become very easy to compare any two algorithms.\nThere are three major asymptotic notations-\n1- Bit-O notation- In this notation we try to find out an upper tight bound on an algorithm time and space complexity.\n2-Big-Omega notation- In this notation, we try to find out an lower tight bound on an algorithm time and space complexity.\n3-Theta notation-This notation provides an average bound of an algorithm to it's time and space complexity.	2
887	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	there are three main notations in asymptotic notations:\n1) big O\n2) big omega\n3) theta	2
888	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic notation for :\nWorst case- O(n)\nAverage case- Q(n) (theta of n)\nBest Case- Rho(n)	2
889	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	These notations tell us more about the time complexity in best, average and worst case. Example: big o, big omega, theta.	2
890	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic notations are used	2
891	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Function of n, used to find time and space complexity of an algorithm	2
893	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	asymptotic notations are used to represent time complexity of asymptotic .	2
894	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	The asymptotic notations are Omega, Big Oh, and Theta. Big Oh tells best case time, Theta gives us the average case and Omega gives worst time. They tell us how in different cases the algorithm is performing. giving us time and space complexities in form of polynomial and their degrees.	2
895	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Big O notation\nBig Omega notation\nBig Theta notation	1
896	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	asymptotic notation are theta(time), omega (time), ohm(time).	2
897	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	They are the mathematical notations used to describe the running time of an algorithm.	2
898	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Theta Notation\nBigO(n) Notation\nOmega Notation	2
899	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic Notations are Big O ,Theta, omega	2
903	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic notations are notations used for mathematical describe the run time of algorithms.	1.5
904	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	The asymptotic notations may be gamma , omega , theta	1.5
905	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	asymptotic notations are used to tell the complexity of an algorithm or program	1.5
906	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Big O, Big Omega and Big theta are the asymptotic notations	1.5
907	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	there are three asymptotic noitaions in algorithm analysis namely Big O(O) that finds out worst case complexities, Theta notation that finds out average case complexities and omega notations which find out best case complexities.	1.5
908	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Theta, Omega, Gamma	1.5
909	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	There are 3 asymptotic notations .\n1)Big O notation\n2)Theta Notation \n3)omega notation	1.5
910	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic notation is a the way to describe the run time of an algorithm. big O notation, theta notation, omega notation are the basic examples.	1.5
911	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	these are symbols used to describe the running time and complexity of any algorithm.\nthere are three notations:\n1. big O\n2. big theta\n3. big omega	1
912	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic notations are used in cases where algorithm behaves differently in different cases it includes theta notation.	1
914	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	there are mainly three types of notations omega, theta and bigO.	2
915	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic notations are mathematical notations that are used to analyze the runtime of a given algorithm for a large input. It helps us to compare the runtimes of different algorithms without actually calculating their runtimes manually. \nThere are mainly three asymptotic notations:\nBig-O Notation (O)\nOmega Notation\nTheta Notation \n	2
916	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	big o, omega ,theta	2
917	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	asymptotic notations\nare the notations to represent of time of complexity of any code \nexample:-\nBig O notation \nTheta notation\nomega Notation	2
918	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	big O(n), omega of(n),theta(n)	2
919	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	increases the time complexity of the same. Space complexity increases with say each 1d array taking O(n) time, 2d array taking O(n^2), etc.	2
920	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic Notation is used to describe the running time of an algorithm and how much time an algorithm takes with a given input, n.	2
921	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	O( )\nOmega( )\n	2
922	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic Notations are the symbols/notations to denote the time and space complexity of an algorithm.\nEg: Big-O (O) , Big-theta , Omega, etc.	2
923	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic notations are the special characters or symbols used to represent time /space taken by the specific algorithm.	2
924	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic notations are symbols or notations used to represent complexity of an algorithm.\nThese are omega,theta and big O wherein they represent the best case,average case and worst case complexities	2
925	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	These are characters and symbols that are used to define the time complexity of the algorithm.\neg: BIG O, Omega etc.	2
926	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptomatic Notations like Big Oh (represented by O), Omega and Theta are notations used to define various cases that the algorithm is run. Big Oh can be seen as the analogous to Worst Case, Omega can be seen as the analogous to Best Case and Theta is used for exact calculations or maybe in some cases - Average Case.\nOmega is the least used among the three. Apart from these, we also have small Oh etc. (but they are not taught in the syllabus much for the sake of avoiding confusion or maybe some uniformity/brevity)	2
927	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	asymptotic notations are notations which define the complexities of algorithm like big O notation , theta notation ,omega notation, where bigO gives upperbound ,omega gives best case.	2
928	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	asymptotic notations are symbols used to denote different time complexities like big o, theta and omega	2
929	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	asymptomatic notations are symbols used to denote different time complexities like big O, theta and omega.	2
931	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	The asymptotic notations is a method in which we find a function which is is greater than the time function of our algorithm and we say that function will take maximum time less than that.	2
932	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	There are various notations like BIG O ,BIG THETA,BIG OMEGA describing the worst case, average case and best case time complexity respectively.	2.5
933	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	big O notation\nsigma notation\n(small) o notation\ntheta notation	2
934	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	The asymptotic notation are-\nbig O. omega, theta	2.5
935	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	asymtotic notations are big O ,big omega and big theta. Thats describe the upper bound ,lower bound and exactb time which nthe algorith will take .	2.5
936	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	they describe the manner of time that is required to run a particular function. big O, big omega, big theta are asymptotic notations.	2.5
937	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	There are three asymptotic notations - \nO -> This one is used to show worst case scenario.\nTheta -> This is used to show the average case.\nOmega -> This is used to show best case.	2.5
938	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	These are notations used to represent the time and space complexities of an algorithm, these are:\n1. big Omega\n2. small Omega\n3. big O\n4. small O\n5. big theta\n6. small theta	2.5
939	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Big O :-For checking the upper bound\nBig Omega :- For checking the lower bound\nBig Theta :- Fore the average case scenario	2.5
940	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic Notations of an Algoithm basically defines the algorithm which tend towards infinity	0.5
942	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	BigO : Average case\nBigTheta : Best case\nBigOmega : Average case	2.5
943	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic notations are a way of representing the time complexity of a particular algorithm by representing the time complexity in terms of big o and big omega where big o notation is considered to be the best as it gives the average of the time complexity of the algorithm. Generally we preffer to judge an algorithm in terms of its worst time complexity as by judging to algorithms by their best case will not give us the better result.	2.5
944	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	these are the tools which are used to analyze a particular algorithm\nBig O\nbig omega\nbig alpha	2.5
945	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	these are the symbols used to define the complexity of the algorithm in the best case , worst case and the average case, then there are loose bound and tight bound notationns\nthese are donated by symbols O, sigma and theta	2.5
947	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	These notations take use of special symbols how efficient a program is by considering 3 things best case(Omega), middle case(Rho) and the worst case( Big(O))	2.5
949	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Notations made to perform asymptotic analysis are asymptotic notations . They are:\n1. Big Oh: it is the tight upper bound.\n2.Big omega: tight lower bound.\n3. Theta: average case\n4.Little oh: loose upper bound.\n5. Little omega: loose lower bound.	2.5
950	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	asymptotic notation is when time complexity of an algorithm is expressed using theta and omega notation	2.5
951	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	this is used to define the running time of algorithm	1
952	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	various types of asymptotic notations are \n1) big O(n)-best case \n2) theta(n)-\n3) sigma (n)-worst case	2.5
953	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic notation are used to denote the time complexity of the program / algorithm:-\n1:- Big O \n2;- Big Omega\n3:- Big theta	2.5
955	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	asymptotic notation are the notation that are complex in nature	0
957	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic Notations are the calculations of time complexity of an algorithms.\nSome of them are:-\nBig Oh: Denotes the maximum time taken by the algorithm!\nBig Omega: Denotes the minimum time taken by the algorithm!\nBig Theta: Is the average time between the two!\n	2.5
958	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	asymptomatic notations are notations through which we can give time complexity or space complexity of algorithm	0.5
961	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	these are Big 0 , omega ie , low level and theta notation	2
962	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	i) Big O Notation : Upper Bound of algorithm c1g(n) > f(n)\nii) Omega Notation: Lower Bound of algorithm c2g(n) <= f(n)\niii) Theta Notation: main function c1g(n)> f(n) >= c2g(n)	2.5
963	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Big O, Big Omega, Big Thetha	2.5
966	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic notations are mathematical notations to represent the complexity of the algorithm. The three most popular asymptotic notations are Big O, Big Omega and Big Theta notation. Other two notations are small omega and small o.	2.5
967	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	asymptotic notations are those which is used to represent the time and space complexity as a function of an algorithm.	0
968	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	big theta\nomega\n	1.5
970	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Big oh of n\nTheta of n\nOmega of n\netc	2.5
971	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	Asymptotic notation is the mathematical term to measure the performance of the algorithm like optimization's in the term of time complexity and maintaining the system power and the space consumption of the server	0.5
972	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	some asymptotic notations - O(worst case), Theta(average case) and omega(best case)	2.5
973	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	big oh\nomega \ntheata	2.5
974	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	big omega & big theta.	2.5
975	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	the notation such as big o ,omega and theta are asymtotic notations and used for telling the time complexity for the algorithms	2.5
976	What are asymptotic notations?	Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.	asymptotic notation are the notation which is	0

857

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

it is a way of finding a comparison point, by which we can compare two algorithm which are used to do the same piece of work but who does more efficiently.

2

858

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic notation is a mathematical notation used to define the run time of an algorithm as the input size reaches infinity. It helps to compare the runtimes of different algorithms without actually calculating their runtimes manually.

1

860

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

1. big-o notation\n2. small-o notation\n3. theta notation

1

861

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Notation like omega , big-O ,little -O etc are asymptotic notation

1

862

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Big and small O.

1

863

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

.

0

867

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

omega ,gamma, theta are the asymptotic notations used for time complexity omega is for average case of a program similarly theta is for worst case of a program and gamma is for best case of a program

2.5

868

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

The asymptotic notations are omega(time), theta(time), ohm(time).

2.5

869

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

asymptotic notation are the mathematical tools which helps to find the time and space complexity of an algorithm

2.5

870

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic notations are defined as\nBig O notation\nBig omega notations\nBig theta notations

2.5

871

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic notations are big O, big omega and big theta. Big O means time taken by algorithm is less than it is written, Big theta means time taken is more than it is written.

2.5

872

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

asymptotic notations are used to denote the maximum time that an algorithm can take in its execution, minimum time that an algorithm can take in its execution and it can also denote that the time complexity of an algorithm lies between maximum time taken and minimum time taken. the asymptotic notations are O(n) omega(n) and theta(n)

2.5

873

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

The 3 asymptotic notations are big omega(maximum time and space required),theta(average time and space required),and the last one which describes the minimum time and space required for the program.

2.5

874

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

asymptotic notations are used for analysis of algorithms for best average and worst case according to their complexities. big O big theta and big omega

2.5

875

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

BIG O notation \n o notation \nthetha notation\nbig omega

2.5

876

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

The asymptotic notations are O(n), theta(n), and omega(n). They are for upper bound, middle bound and lower bound respectively.

2.5

877

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Used to define running time of an algorithm

2.5

878

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic notations are the notations which denote the maximum or we can say that the worst case time scenario and the minimum or the best case time scenario which that particular algorithm will take while executing .

2.5

879

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

the notations to describe the time complexity of algorithm like O(n), etc...

2.5

880

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

These are notations used to define complexities of algorithm , Examples of which are Big O, Big Omega, Small O, Small Omega etc. These notations are used in order to represent complexity of the algorithm we have written and at par helping the programmer to write more efficient code.

2.5

881

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Big O\nBig omega \nBig theta

2.5

882

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic notations are big omega which describes the best case , then theta which describes the average case and the third one describes the worst case.

2

883

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

asymptotic notations includes big omega ,big theta, big oh. These are used to set upper and lower bound of how much time an algorithm will take.

2

884

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

big O, small o, omega are the notations.

2

885

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

big O\nsmall o\ntheta\n\n

2

886

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic notations are the notations used to analyse the time and space complexity of different algorithms and hence it become very easy to compare any two algorithms.\nThere are three major asymptotic notations-\n1- Bit-O notation- In this notation we try to find out an upper tight bound on an algorithm time and space complexity.\n2-Big-Omega notation- In this notation, we try to find out an lower tight bound on an algorithm time and space complexity.\n3-Theta notation-This notation provides an average bound of an algorithm to it's time and space complexity.

2

887

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

there are three main notations in asymptotic notations:\n1) big O\n2) big omega\n3) theta

2

888

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic notation for :\nWorst case- O(n)\nAverage case- Q(n) (theta of n)\nBest Case- Rho(n)

2

889

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

These notations tell us more about the time complexity in best, average and worst case. Example: big o, big omega, theta.

2

890

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic notations are used

2

891

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Function of n, used to find time and space complexity of an algorithm

2

893

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

asymptotic notations are used to represent time complexity of asymptotic .

2

894

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

The asymptotic notations are Omega, Big Oh, and Theta. Big Oh tells best case time, Theta gives us the average case and Omega gives worst time. They tell us how in different cases the algorithm is performing. giving us time and space complexities in form of polynomial and their degrees.

2

895

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Big O notation\nBig Omega notation\nBig Theta notation

1

896

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

asymptotic notation are theta(time), omega (time), ohm(time).

2

897

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

They are the mathematical notations used to describe the running time of an algorithm.

2

898

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Theta Notation\nBigO(n) Notation\nOmega Notation

2

899

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic Notations are Big O ,Theta, omega

2

903

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic notations are notations used for mathematical describe the run time of algorithms.

1.5

904

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

The asymptotic notations may be gamma , omega , theta

1.5

905

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

asymptotic notations are used to tell the complexity of an algorithm or program

1.5

906

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Big O, Big Omega and Big theta are the asymptotic notations

1.5

907

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

there are three asymptotic noitaions in algorithm analysis namely Big O(O) that finds out worst case complexities, Theta notation that finds out average case complexities and omega notations which find out best case complexities.

1.5

908

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Theta, Omega, Gamma

1.5

909

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

There are 3 asymptotic notations .\n1)Big O notation\n2)Theta Notation \n3)omega notation

1.5

910

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic notation is a the way to describe the run time of an algorithm. big O notation, theta notation, omega notation are the basic examples.

1.5

911

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

these are symbols used to describe the running time and complexity of any algorithm.\nthere are three notations:\n1. big O\n2. big theta\n3. big omega

1

912

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic notations are used in cases where algorithm behaves differently in different cases it includes theta notation.

1

914

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

there are mainly three types of notations omega, theta and bigO.

2

915

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic notations are mathematical notations that are used to analyze the runtime of a given algorithm for a large input. It helps us to compare the runtimes of different algorithms without actually calculating their runtimes manually. \nThere are mainly three asymptotic notations:\nBig-O Notation (O)\nOmega Notation\nTheta Notation \n

2

916

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

big o, omega ,theta

2

917

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

asymptotic notations\nare the notations to represent of time of complexity of any code \nexample:-\nBig O notation \nTheta notation\nomega Notation

2

918

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

big O(n), omega of(n),theta(n)

2

919

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

increases the time complexity of the same. Space complexity increases with say each 1d array taking O(n) time, 2d array taking O(n^2), etc.

2

920

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic Notation is used to describe the running time of an algorithm and how much time an algorithm takes with a given input, n.

2

921

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

O( )\nOmega( )\n

2

922

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic Notations are the symbols/notations to denote the time and space complexity of an algorithm.\nEg: Big-O (O) , Big-theta , Omega, etc.

2

923

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic notations are the special characters or symbols used to represent time /space taken by the specific algorithm.

2

924

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic notations are symbols or notations used to represent complexity of an algorithm.\nThese are omega,theta and big O wherein they represent the best case,average case and worst case complexities

2

925

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

These are characters and symbols that are used to define the time complexity of the algorithm.\neg: BIG O, Omega etc.

2

926

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptomatic Notations like Big Oh (represented by O), Omega and Theta are notations used to define various cases that the algorithm is run. Big Oh can be seen as the analogous to Worst Case, Omega can be seen as the analogous to Best Case and Theta is used for exact calculations or maybe in some cases - Average Case.\nOmega is the least used among the three. Apart from these, we also have small Oh etc. (but they are not taught in the syllabus much for the sake of avoiding confusion or maybe some uniformity/brevity)

2

927

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

asymptotic notations are notations which define the complexities of algorithm like big O notation , theta notation ,omega notation, where bigO gives upperbound ,omega gives best case.

2

928

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

asymptotic notations are symbols used to denote different time complexities like big o, theta and omega

2

929

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

asymptomatic notations are symbols used to denote different time complexities like big O, theta and omega.

2

931

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

The asymptotic notations is a method in which we find a function which is is greater than the time function of our algorithm and we say that function will take maximum time less than that.

2

932

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

There are various notations like BIG O ,BIG THETA,BIG OMEGA describing the worst case, average case and best case time complexity respectively.

2.5

933

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

big O notation\nsigma notation\n(small) o notation\ntheta notation

2

934

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

The asymptotic notation are-\nbig O. omega, theta

2.5

935

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

asymtotic notations are big O ,big omega and big theta. Thats describe the upper bound ,lower bound and exactb time which nthe algorith will take .

2.5

936

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

they describe the manner of time that is required to run a particular function. big O, big omega, big theta are asymptotic notations.

2.5

937

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

There are three asymptotic notations - \nO -> This one is used to show worst case scenario.\nTheta -> This is used to show the average case.\nOmega -> This is used to show best case.

2.5

938

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

These are notations used to represent the time and space complexities of an algorithm, these are:\n1. big Omega\n2. small Omega\n3. big O\n4. small O\n5. big theta\n6. small theta

2.5

939

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Big O :-For checking the upper bound\nBig Omega :- For checking the lower bound\nBig Theta :- Fore the average case scenario

2.5

940

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic Notations of an Algoithm basically defines the algorithm which tend towards infinity

0.5

942

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

BigO : Average case\nBigTheta : Best case\nBigOmega : Average case

2.5

943

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic notations are a way of representing the time complexity of a particular algorithm by representing the time complexity in terms of big o and big omega where big o notation is considered to be the best as it gives the average of the time complexity of the algorithm. Generally we preffer to judge an algorithm in terms of its worst time complexity as by judging to algorithms by their best case will not give us the better result.

2.5

944

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

these are the tools which are used to analyze a particular algorithm\nBig O\nbig omega\nbig alpha

2.5

945

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

these are the symbols used to define the complexity of the algorithm in the best case , worst case and the average case, then there are loose bound and tight bound notationns\nthese are donated by symbols O, sigma and theta

2.5

947

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

These notations take use of special symbols how efficient a program is by considering 3 things best case(Omega), middle case(Rho) and the worst case( Big(O))

2.5

949

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Notations made to perform asymptotic analysis are asymptotic notations . They are:\n1. Big Oh: it is the tight upper bound.\n2.Big omega: tight lower bound.\n3. Theta: average case\n4.Little oh: loose upper bound.\n5. Little omega: loose lower bound.

2.5

950

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

asymptotic notation is when time complexity of an algorithm is expressed using theta and omega notation

2.5

951

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

this is used to define the running time of algorithm

1

952

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

various types of asymptotic notations are \n1) big O(n)-best case \n2) theta(n)-\n3) sigma (n)-worst case

2.5

953

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic notation are used to denote the time complexity of the program / algorithm:-\n1:- Big O \n2;- Big Omega\n3:- Big theta

2.5

955

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

asymptotic notation are the notation that are complex in nature

0

957

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic Notations are the calculations of time complexity of an algorithms.\nSome of them are:-\nBig Oh: Denotes the maximum time taken by the algorithm!\nBig Omega: Denotes the minimum time taken by the algorithm!\nBig Theta: Is the average time between the two!\n

2.5

958

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

asymptomatic notations are notations through which we can give time complexity or space complexity of algorithm

0.5

961

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

these are Big 0 , omega ie , low level and theta notation

2

962

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

i) Big O Notation : Upper Bound of algorithm c1g(n) > f(n)\nii) Omega Notation: Lower Bound of algorithm c2g(n) <= f(n)\niii) Theta Notation: main function c1g(n)> f(n) >= c2g(n)

2.5

963

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Big O, Big Omega, Big Thetha

2.5

966

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic notations are mathematical notations to represent the complexity of the algorithm. The three most popular asymptotic notations are Big O, Big Omega and Big Theta notation. Other two notations are small omega and small o.

2.5

967

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

asymptotic notations are those which is used to represent the time and space complexity as a function of an algorithm.

0

968

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

big theta\nomega\n

1.5

970

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Big oh of n\nTheta of n\nOmega of n\netc

2.5

971

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

Asymptotic notation is the mathematical term to measure the performance of the algorithm like optimization's in the term of time complexity and maintaining the system power and the space consumption of the server

0.5

972

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

some asymptotic notations - O(worst case), Theta(average case) and omega(best case)

2.5

973

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

big oh\nomega \ntheata

2.5

974

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

big omega & big theta.

2.5

975

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

the notation such as big o ,omega and theta are asymtotic notations and used for telling the time complexity for the algorithms

2.5

976

What are asymptotic notations?

Asymptotic analysis can provide three levels of mathematical binding of execution time of an algorithm – (1) Best case is represented by Ω(n) notation. (2) Worst case is represented by Ο(n) notation. (3) Average case is represented by Θ(n) notation.

asymptotic notation are the notation which is

0