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The function starts by checking for an empty array and returns *false* in that case. Otherwise, it tests the first element of the array and returns *true* if the condition *cb* is met. Otherwise, it recurses with the array less the first element. Said differently, the function recursively scans the array until so...
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So we know that LBAs have a finite number of configurations, which makes the task of detecting loops much easier. My proposition is that if a given LBA is constructed to recognize a language, it also decides it since if there was a non-halting instance of the problem, we can detect it and terminate the computation. Is...
Is it possible for a Linear bounded automaton to be a recognizer but not a decider?
|turing-machines|computability|
Logical gates alone can do little, they can just build combinatorial logical systems. But as soon as you add a clock, *states* become possible and you can build sequential systems and devices such as Turing machines or any kinds of processors.
Toda's theorem says that the polynomial time hierarchy is contained in $P^{\#P}$, the class of problems solvable by polynomial time oracle Turing machines with access to an oracle in \#P, which is the class of functions that return the number of satisfying assignments of nondeterministic machines clocked in polynomial ...
Toda's theorem without $\oplus P$
|complexity-theory|reference-request|polynomial-time-hierarchy|
What the author means - and is right in thinking so - is that from an analytical point of view, the optimization is arduous. This is because the objective function depending on the three parameters $\theta,c_1,c_2$, also depends on the assignments of the points to $P$ and $Q$, which can be made in $2^m$ ways.
Clearly, the second expression generates all strings made of $a$ and $b$. Now, by induction, the first expression can generate - the empty string $\epsilon$; - any string it generates, followed by $b$, as one can append $b$, using $(ba^0)$; - any string it generates, followed by $a$: - if the string is...
Here is a suggestion for an algorithm that might satisfy your constraints. First, we'll come up with an upper bound $M$ for the quotient $a_1a_2\dots a_n/b_1b_2\dots b_m$. There are many acceptable ways to do this: the first way that comes to mind is round each $a_i$ up to the next largest power of two and round eac...
Consider the following "game". > There is an ant on a strip of length N. The ant can perform the following actions: move left, move right, and paint the cell he is on with white or black. The ant is also given a target coloring and must paint the strip according to such coloring in the most efficient way possible. The...
## Question Consider a system which has logical address is 7 bits, physical address is 6 bits , page size is 8 words, calculate the number of pages and no.of frames, size of page table. ## Answer ## Addressing Scheme in a Paging System Given the following information: - Logical Address: 7 bits - Physical ...
Size of the page table?
|operating-systems|
Size of the page table
## Question Consider a system which has logical address is 7 bits, physical address is 6 bits , page size is 8 words, calculate the number of pages and no.of frames, size of page table. ## Answer ## Addressing Scheme in a Paging System Given the following information: - Logical Address: 7 bits - Physical ...
Clearly, the second expression generates all strings made of $a$ and $b$. Now, by induction, with the first expression: - you can generate the empty string $\epsilon$, as $a^0(ba^*)^0$; - any string generated with this expression can be appended with a $b$, which is $(ba^0)^1$; - any string generated with t...
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I'm trying to figure out if a predecessor subgraph is always connected, but I'm not sure how to go about proving it (or disproving it). I've read that the predecessor subgraph forms a tree, but it seems that that claim depends on the subgraph being connected (and the number of edges being one less than the number of ve...
Is a predecessor subgraph always connected?
|graphs|algorithm-analysis|subgraphs|
I am looking for literature on abstract models on parallel computing. I am mainly referring to models like Alternating Turing Machine, PRAM or NC-uniform equivalence (Boolean circuits) with some parallelism capability. I would like to know if there are any recent advances or literature on the subject. Thank you v...
Abstract models of parallel computing?
|complexity-theory|automata|parallel-computing|
**Overview of Turing Machine decidability starting on the a blank tape (Busy Beaver style)** For the blank tape input only: - 4-state machines: [all decided in 1983](https://www.jstor.org/stable/2007539) - 5-state machines: as of 2023 it is generally believed that all [5-state machines have been decided pending ...
Given an undirected graph $G$ with non-negative edge weights, how can we prove that the predecessor subgraph $G_{p}$ of $G$ is always connected? Here's how the predecessor subgraph is defined: for a graph $G = (V, E)$ with source $s$, the **predecessor subgraph** of $G$ is $G_{p} = (V_{p}, E_{p})$, where $V_{p} = \{...
Let $v_1, \dots, v_n$ be the vertices of your graph in non-decreasing order of distances from $G$. You can show by induction on $i$ that the graph $G_i$ induced by $\{v_1, \dots v_i\}$ is connected. The base case is trivial as $G_1$ contains only $v_1=s$. Consider now $i>1$. We only need to argue that $v_i$ ...
Let $s$ be your source vertex and let $d(v)$ denote the distance from $s$ to $v$. Let $v_1, \dots, v_n$ be the vertices of your graph in non-decreasing order of distances from $s$. You can show by induction on $i$ that the subgraph $G_i$ of $G_p$ induced by $\{v_1, \dots v_i\}$ is connected. The base case is triv...
Clearly, the second expression generates all strings made of $a$ and $b$. Now, by induction, with the first expression: - you can generate the empty string $\epsilon$, as $a^0(ba^*)^0$; - any string generated with this expression can be appended with a $b$, which is $(ba^0)^1$; - any string generated with t...
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In order to enumerate such a regular expression, it's clear one can break down the language into the set $s =\{00,01,10,11\}$ and it is clear that we need to enumerate some expression that avoids the following combination of strings: 01, 00+10,00+11, 10+11. I'm just having finding trouble enumerating the regular expre...
Regular expression for binary string containing no instances of 01
|regular-languages|automata|regular-expressions|
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I wanted to learn Operating System on my own. Although I have learned few basic things from here and there, but wanted to know the suggestions (books, any video lecture, etc.) from this community.
What is the optimal resource to follow to learn Operating System?
|operating-systems|
The C++ standard says "The built-in subscript expression `E1[E2]` is exactly identical to the expression `*(E1 + E2)`...". So `3[arr]` is `*(3+arr)` is `*(arr+3)` is `arr[3]`. https://en.cppreference.com/w/cpp/language/operator_member_access
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So considering this [answer][1] for unconstrained minimization: > For any $n$, let $f$ be a $\sigma$ strongly convex function, write $$\epsilon = \left\|\nabla f(0) \right\|_2$$ then the ball of radius $\epsilon / \sigma$ around 0 includes the minimum. > Blockquote I suppose one could use the [penalty method][2]...
I need to build a schedule that maps 7 people to 4 groups (3 pairs, 1 single) for each week. An ideal schedule would be one where each person swaps pairs and groups in a round-robin style. If such a schedule is not possible, an algorithm that creates a schedule that minimizes repetition while being fair over the lon...
Schedule with fair distribution of pairs and groups
|scheduling|
If there is a $0$, it may not be followed by a $1$, so the string is made of "not $0$s" followed by $0$s. $$1^*0^*$$
Chore schedule with fair distribution of pairs and groups
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I am looking for a reference on the most optimal output-sensitive algorithm currently available for listing all maximal cliques in a graph. I know the [Bron-Kerbosch algorithm](https://en.wikipedia.org/wiki/Bron%E2%80%93Kerbosch_algorithm) is highly utilized, but it is not output sensitive (i.e., the expected runnin...
Current best output-sensitive algorithm for computing all maximal cliques of a graph
|algorithms|graphs|reference-request|clique|
The division algorithm You are trying to understand is basically a recursive description of good old [long division](https://en.wikipedia.org/wiki/Long_division), albeit in binary form. You can think of the following line: $$ (q,r) = divide(\lfloor x/2\rfloor,y) $$ As moving the divisor $y$ one binary digit to th...
Instead of directly dividing $x$ by $y$, you divide $x\div 2$ by $y$ and multiply the quotient by $2$. This gives an approximate quotient, and the rest of the computation is a correction to get the true quotient, which may be off by one unit ($x\div y=2( (x\div2)\div y)$ or $2( (x\div2)\div y)+1$). Notice that $x\div2$...
Since addition is commutative, we can use any accessor method. But in programming, the more code is **human-understandable**, the better it is ranked. And that is why guidelines exist. In this case, using `arr[3]` is more readable than `3[arr]`. Instead of array, let's think in term of hashmaps: Suppose you are aske...
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**Overview of Turing Machine decidability starting on the a blank tape (Busy Beaver style)** For the blank tape input only: - 4-state machines: [all decided in 1983](https://www.jstor.org/stable/2007539) - 5-state machines: as of 2023 it is generally believed that all [5-state machines have been decided pending ...
***Disclaimer 1**: I am in no way, shape or form an expert on this topic. I am not even an amateur. All my knowledge on quantum computing comes from reading a single book and implementing a [puny quantum circuit simulator](https://github.com/DirkToewe/QuIPPy). So please take everything I say with a table spoon of salt....
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This is probably insignificant, but I was messing around with polynomials, and found out that, if we have a number, n = pq that we want to factor, if we expand (k+1)^n -k^n - 1, mod n, the first nonzero term will be a factor of n. This, of course, is just trial division in disguise, since in order to find p, you would ...
Progress towards a Polynomial time factoring algorithm?
|complexity-theory|polynomials|factoring|
This is probably insignificant, but I was messing around with polynomials, and found out that, if we have a number, n = pq that we want to factor, if we expand (k+1)^n -k^n - 1, mod n, the first nonzero term will be a factor of n. This, of course, is just trial division in disguise, since in order to find p, you would ...
You can use my code. I implemented the ideas from the paper by Overmars and van Leeuwen. [https://github.com/sumeetshirgure/DynamicPlanarHull/tree/master][1] [1]: https://github.com/sumeetshirgure/DynamicPlanarHull/tree/master
Wikipedia states that the time complexity of the [General Number Field Sieve (GNFS)][1] is $$\exp\left( \left(\sqrt[3]{\frac{64}{9}} + o(1)\right)(\log N)^{\frac{1}{3}}(\log \log N)^{\frac{2}{3}}\right),$$ where $N$ is the number to be factored. The same site also mentions that [quasi-polynomial time][2] is $$\mb...
The authoritative reference on the pragmatic issues behind implementing regex engines is [a series of three blog posts by Russ Cox](http://swtch.com/~rsc/regexp/). As described there, since backreferences make your language non-regular, they are implemented using [_backtracking_](http://en.wikipedia.org/wiki/Backtrack...
Does the following [highly down-voted answer][3] not answer the question "[Why does Schaefer's theorem not prove that P=NP?][4]"? If not, why not? > Marek, V. Wiktor. [*Introduction to Mathematics of > Satisfiability*][1]. Boca Raton; London; New-York: CRC Press, 2009, > p. 310: > > >***THEOREM 13.3 (Schaefer ...
Does the following down-voted answer not answer the question "Why does Schaefer's theorem not prove that P=NP?"?
|np-complete|satisfiability|p-vs-np|
One can prove by induction on $x\ge 0$ that $$(q,r) =\text{divide}(x,y)\Longrightarrow x=q y + r\text{ and }0\le r\le y-1$$ Indeed this is true when $0=x$ because $0=0.y + 0$. When $1\le x$, first note that $2\le x+[x\text{ odd}]$, where $[\text{ }]$ is Iverson's bracket, hence $$0\le\left\lfloor\frac{x}{2}\right\...
One can prove by induction on $x\ge 0$ that $$(q,r) =\text{divide}(x,y)\Longrightarrow x=q y + r\text{ and }0\le r\le y-1$$ Indeed this is true when $0=x$ because $0=0.y + 0$. When $1\le x$, first note that $2\le x+[x\text{ odd}]$, where $[\text{ }]$ is Iverson's bracket, hence $$0\le\left\lfloor\frac{x}{2}\right\...
Yes, you can "break down each segment at each crossing point", and then you'll get a *Planar Subdivision* or [Planar straight-line graph][1]. All the edges of this graph will be **oriented** according to the natural orientation of the original self-intersecting polygon. It's easy to see that all the points, belonging t...
I am a high schooler who has been programming for about 3 years now. My skill level is above what AP Comp Sci and especially what principles can teach me. What should I be doing to improve myself and prepare for future schools/jobs? What should I be adding to my portfolio?
What should I look to do in high school to prepare myself for college/jobs
|education|
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The language is not context free, and indeed Ogden's Lemma can be used to show so. See the answer in the following [duplicate][1]. [1]: https://cs.stackexchange.com/q/162133/162601
I am a CS undergrad trying to improve my problem-solving skills. I have noticed that I have a problem with theoretical computer science which I've been trying to fix largely unsuccessfully till now. I have noticed these in Undergrad courses such as *Theory of Computation*, *Algorithm Design*, *Discrete Mathematics*, *G...
How do I improve my problem-solving and creative thinking kills in Computer Science?
|education|theory|
To specify the $\mathit{TotalQueueCustomers}$ operation it helps to know that, in Z (and VDM and B), a sequence is a function from a finite prefix of the positive integers to the element type. Here your element type is $\mathit{Queue}$. To express the sum of the $\mathit{length}$ components of all the $\mathit{Queue}$s...
How do I improve my problem-solving and creative thinking skills in Computer Science?
For these algorithms, the time complexity of BFS and DFS is O(E). I have gone through many websites and even the algorithm books, but I never got a clear idea of why it is O(E). It just says it's O(E) in the flow graph as it considers only edges. What does this mean?
Why in Edmonds Karp or Ford Fulkerson Algorithm the time complexity of BFS or DFS respectively is O(E) rather than O(V+E)?
|graphs|time-complexity|network-flow|ford-fulkerson|breadth-first-search|
I don't actually understand the meaning of $w$$x$ + $b$ = 0 when it is defined in support vector machine. In my own understanding, in order for the equation to be true, the hyperplane would always need to pass through the origin. $w$$x$ + $b$ = 0 0 = 0 But when I look at many diagram of SVM hyperplane, it...
Incompresensible about $w$ $x$+ $b$ = 0
|machine-learning|artificial-intelligence|svm|
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Taking an example, say we have Page size = 4KB, Page Table Entry = 4B, Physical Address Space requires 36 bits In 3-level multi-paging, let's say the number of entries in the level 3 page table is 2^9 (so the size of this page table would be 2^9 * 4B = 2^11 B ) In level 2, there are 2^9 entries as well and finally...
How is the physical address calculated in Page tables?
|operating-systems|memory-management|paging|
Taking an example, say we have Page size = 4KB, Page Table Entry = 4B, Physical Address Space requires 36 bits In 3-level multi-paging, let's say the number of entries in the level 3 page table is 2^9 (so the size of this page table would be 2^9 * 4B = 2^11 B ) In level 2, there are 2^9 entries as well and finally...
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Yes, they can be employed in a straightforward way. However, the size of the formulas blows up exponentially big. Let $\ell_{s \to t}$ denote the formula on the NFA transition from $s$ to $t$. For instance, these formulas might look like $\text{ctr} \ge 3$ (require the counter to be at least 3, i.e., the transitio...
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