Instruction
stringlengths
45
106
input_code
stringlengths
1
13.7k
output_code
stringlengths
1
13.7k
Generate an equivalent Python version of this Erlang code.
-module(agm_calculator). -export([find_agm/0]). -define(TOLERANCE, 0.0000000001). find_agm() -> A = 1, B = 1 / (math:pow(2, 0.5)), AGM = agm(A, B), io:format("AGM = ~p", [AGM]). agm (A, B) when abs(A-B) =< ?TOLERANCE -> A; agm (A, B) -> A1 = (A+B) / 2, B1 = math:pow(A*B, 0.5), agm(A1, B1).
from math import sqrt def agm(a0, g0, tolerance=1e-10): an, gn = (a0 + g0) / 2.0, sqrt(a0 * g0) while abs(an - gn) > tolerance: an, gn = (an + gn) / 2.0, sqrt(an * gn) return an print agm(1, 1 / sqrt(2))
Convert the following code from Erlang to Python, ensuring the logic remains intact.
-module(agm_calculator). -export([find_agm/0]). -define(TOLERANCE, 0.0000000001). find_agm() -> A = 1, B = 1 / (math:pow(2, 0.5)), AGM = agm(A, B), io:format("AGM = ~p", [AGM]). agm (A, B) when abs(A-B) =< ?TOLERANCE -> A; agm (A, B) -> A1 = (A+B) / 2, B1 = math:pow(A*B, 0.5), agm(A1, B1).
from math import sqrt def agm(a0, g0, tolerance=1e-10): an, gn = (a0 + g0) / 2.0, sqrt(a0 * g0) while abs(an - gn) > tolerance: an, gn = (an + gn) / 2.0, sqrt(an * gn) return an print agm(1, 1 / sqrt(2))
Change the following Erlang code into VB without altering its purpose.
-module(agm_calculator). -export([find_agm/0]). -define(TOLERANCE, 0.0000000001). find_agm() -> A = 1, B = 1 / (math:pow(2, 0.5)), AGM = agm(A, B), io:format("AGM = ~p", [AGM]). agm (A, B) when abs(A-B) =< ?TOLERANCE -> A; agm (A, B) -> A1 = (A+B) / 2, B1 = math:pow(A*B, 0.5), agm(A1, B1).
Private Function agm(a As Double, g As Double, Optional tolerance As Double = 0.000000000000001) As Double Do While Abs(a - g) > tolerance tmp = a a = (a + g) / 2 g = Sqr(tmp * g) Debug.Print a Loop agm = a End Function Public Sub main() Debug.Print agm(1, 1 / Sqr(2)) End Sub
Rewrite this program in VB while keeping its functionality equivalent to the Erlang version.
-module(agm_calculator). -export([find_agm/0]). -define(TOLERANCE, 0.0000000001). find_agm() -> A = 1, B = 1 / (math:pow(2, 0.5)), AGM = agm(A, B), io:format("AGM = ~p", [AGM]). agm (A, B) when abs(A-B) =< ?TOLERANCE -> A; agm (A, B) -> A1 = (A+B) / 2, B1 = math:pow(A*B, 0.5), agm(A1, B1).
Private Function agm(a As Double, g As Double, Optional tolerance As Double = 0.000000000000001) As Double Do While Abs(a - g) > tolerance tmp = a a = (a + g) / 2 g = Sqr(tmp * g) Debug.Print a Loop agm = a End Function Public Sub main() Debug.Print agm(1, 1 / Sqr(2)) End Sub
Convert the following code from Erlang to Go, ensuring the logic remains intact.
-module(agm_calculator). -export([find_agm/0]). -define(TOLERANCE, 0.0000000001). find_agm() -> A = 1, B = 1 / (math:pow(2, 0.5)), AGM = agm(A, B), io:format("AGM = ~p", [AGM]). agm (A, B) when abs(A-B) =< ?TOLERANCE -> A; agm (A, B) -> A1 = (A+B) / 2, B1 = math:pow(A*B, 0.5), agm(A1, B1).
package main import ( "fmt" "math" ) const ε = 1e-14 func agm(a, g float64) float64 { for math.Abs(a-g) > math.Abs(a)*ε { a, g = (a+g)*.5, math.Sqrt(a*g) } return a } func main() { fmt.Println(agm(1, 1/math.Sqrt2)) }
Ensure the translated Go code behaves exactly like the original Erlang snippet.
-module(agm_calculator). -export([find_agm/0]). -define(TOLERANCE, 0.0000000001). find_agm() -> A = 1, B = 1 / (math:pow(2, 0.5)), AGM = agm(A, B), io:format("AGM = ~p", [AGM]). agm (A, B) when abs(A-B) =< ?TOLERANCE -> A; agm (A, B) -> A1 = (A+B) / 2, B1 = math:pow(A*B, 0.5), agm(A1, B1).
package main import ( "fmt" "math" ) const ε = 1e-14 func agm(a, g float64) float64 { for math.Abs(a-g) > math.Abs(a)*ε { a, g = (a+g)*.5, math.Sqrt(a*g) } return a } func main() { fmt.Println(agm(1, 1/math.Sqrt2)) }
Maintain the same structure and functionality when rewriting this code in C.
let rec agm a g precision = if precision > abs(a - g) then a else agm (0.5 * (a + g)) (sqrt (a * g)) precision printfn "%g" (agm 1. (sqrt(0.5)) 1e-15)
#include<math.h> #include<stdio.h> #include<stdlib.h> double agm( double a, double g ) { double iota = 1.0E-16; double a1, g1; if( a*g < 0.0 ) { printf( "arithmetic-geometric mean undefined when x*y<0\n" ); exit(1); } while( fabs(a-g)>iota ) { a1 = (a + g) / 2.0; g1 = sqrt(a * g); a = a1; g = g1; } return a; } int main( void ) { double x, y; printf( "Enter two numbers: " ); scanf( "%lf%lf", &x, &y ); printf( "The arithmetic-geometric mean is %lf\n", agm(x, y) ); return 0; }
Convert this F# block to C, preserving its control flow and logic.
let rec agm a g precision = if precision > abs(a - g) then a else agm (0.5 * (a + g)) (sqrt (a * g)) precision printfn "%g" (agm 1. (sqrt(0.5)) 1e-15)
#include<math.h> #include<stdio.h> #include<stdlib.h> double agm( double a, double g ) { double iota = 1.0E-16; double a1, g1; if( a*g < 0.0 ) { printf( "arithmetic-geometric mean undefined when x*y<0\n" ); exit(1); } while( fabs(a-g)>iota ) { a1 = (a + g) / 2.0; g1 = sqrt(a * g); a = a1; g = g1; } return a; } int main( void ) { double x, y; printf( "Enter two numbers: " ); scanf( "%lf%lf", &x, &y ); printf( "The arithmetic-geometric mean is %lf\n", agm(x, y) ); return 0; }
Ensure the translated C# code behaves exactly like the original F# snippet.
let rec agm a g precision = if precision > abs(a - g) then a else agm (0.5 * (a + g)) (sqrt (a * g)) precision printfn "%g" (agm 1. (sqrt(0.5)) 1e-15)
namespace RosettaCode.ArithmeticGeometricMean { using System; using System.Collections.Generic; using System.Globalization; internal static class Program { private static double ArithmeticGeometricMean(double number, double otherNumber, IEqualityComparer<double> comparer) { return comparer.Equals(number, otherNumber) ? number : ArithmeticGeometricMean( ArithmeticMean(number, otherNumber), GeometricMean(number, otherNumber), comparer); } private static double ArithmeticMean(double number, double otherNumber) { return 0.5 * (number + otherNumber); } private static double GeometricMean(double number, double otherNumber) { return Math.Sqrt(number * otherNumber); } private static void Main() { Console.WriteLine( ArithmeticGeometricMean(1, 0.5 * Math.Sqrt(2), new RelativeDifferenceComparer(1e-5)). ToString(CultureInfo.InvariantCulture)); } private class RelativeDifferenceComparer : IEqualityComparer<double> { private readonly double _maximumRelativeDifference; internal RelativeDifferenceComparer(double maximumRelativeDifference) { _maximumRelativeDifference = maximumRelativeDifference; } public bool Equals(double number, double otherNumber) { return RelativeDifference(number, otherNumber) <= _maximumRelativeDifference; } public int GetHashCode(double number) { return number.GetHashCode(); } private static double RelativeDifference(double number, double otherNumber) { return AbsoluteDifference(number, otherNumber) / Norm(number, otherNumber); } private static double AbsoluteDifference(double number, double otherNumber) { return Math.Abs(number - otherNumber); } private static double Norm(double number, double otherNumber) { return 0.5 * (Math.Abs(number) + Math.Abs(otherNumber)); } } } }
Maintain the same structure and functionality when rewriting this code in C#.
let rec agm a g precision = if precision > abs(a - g) then a else agm (0.5 * (a + g)) (sqrt (a * g)) precision printfn "%g" (agm 1. (sqrt(0.5)) 1e-15)
namespace RosettaCode.ArithmeticGeometricMean { using System; using System.Collections.Generic; using System.Globalization; internal static class Program { private static double ArithmeticGeometricMean(double number, double otherNumber, IEqualityComparer<double> comparer) { return comparer.Equals(number, otherNumber) ? number : ArithmeticGeometricMean( ArithmeticMean(number, otherNumber), GeometricMean(number, otherNumber), comparer); } private static double ArithmeticMean(double number, double otherNumber) { return 0.5 * (number + otherNumber); } private static double GeometricMean(double number, double otherNumber) { return Math.Sqrt(number * otherNumber); } private static void Main() { Console.WriteLine( ArithmeticGeometricMean(1, 0.5 * Math.Sqrt(2), new RelativeDifferenceComparer(1e-5)). ToString(CultureInfo.InvariantCulture)); } private class RelativeDifferenceComparer : IEqualityComparer<double> { private readonly double _maximumRelativeDifference; internal RelativeDifferenceComparer(double maximumRelativeDifference) { _maximumRelativeDifference = maximumRelativeDifference; } public bool Equals(double number, double otherNumber) { return RelativeDifference(number, otherNumber) <= _maximumRelativeDifference; } public int GetHashCode(double number) { return number.GetHashCode(); } private static double RelativeDifference(double number, double otherNumber) { return AbsoluteDifference(number, otherNumber) / Norm(number, otherNumber); } private static double AbsoluteDifference(double number, double otherNumber) { return Math.Abs(number - otherNumber); } private static double Norm(double number, double otherNumber) { return 0.5 * (Math.Abs(number) + Math.Abs(otherNumber)); } } } }
Convert this F# block to C++, preserving its control flow and logic.
let rec agm a g precision = if precision > abs(a - g) then a else agm (0.5 * (a + g)) (sqrt (a * g)) precision printfn "%g" (agm 1. (sqrt(0.5)) 1e-15)
#include "gmp.h" void agm (const mpf_t in1, const mpf_t in2, mpf_t out1, mpf_t out2) { mpf_add (out1, in1, in2); mpf_div_ui (out1, out1, 2); mpf_mul (out2, in1, in2); mpf_sqrt (out2, out2); } int main (void) { mpf_set_default_prec (65568); mpf_t x0, y0, resA, resB; mpf_init_set_ui (y0, 1); mpf_init_set_d (x0, 0.5); mpf_sqrt (x0, x0); mpf_init (resA); mpf_init (resB); for(int i=0; i<7; i++){ agm(x0, y0, resA, resB); agm(resA, resB, x0, y0); } gmp_printf ("%.20000Ff\n", x0); gmp_printf ("%.20000Ff\n\n", y0); return 0; }
Preserve the algorithm and functionality while converting the code from F# to C++.
let rec agm a g precision = if precision > abs(a - g) then a else agm (0.5 * (a + g)) (sqrt (a * g)) precision printfn "%g" (agm 1. (sqrt(0.5)) 1e-15)
#include "gmp.h" void agm (const mpf_t in1, const mpf_t in2, mpf_t out1, mpf_t out2) { mpf_add (out1, in1, in2); mpf_div_ui (out1, out1, 2); mpf_mul (out2, in1, in2); mpf_sqrt (out2, out2); } int main (void) { mpf_set_default_prec (65568); mpf_t x0, y0, resA, resB; mpf_init_set_ui (y0, 1); mpf_init_set_d (x0, 0.5); mpf_sqrt (x0, x0); mpf_init (resA); mpf_init (resB); for(int i=0; i<7; i++){ agm(x0, y0, resA, resB); agm(resA, resB, x0, y0); } gmp_printf ("%.20000Ff\n", x0); gmp_printf ("%.20000Ff\n\n", y0); return 0; }
Change the following F# code into Java without altering its purpose.
let rec agm a g precision = if precision > abs(a - g) then a else agm (0.5 * (a + g)) (sqrt (a * g)) precision printfn "%g" (agm 1. (sqrt(0.5)) 1e-15)
public class ArithmeticGeometricMean { public static double agm(double a, double g) { double a1 = a; double g1 = g; while (Math.abs(a1 - g1) >= 1.0e-14) { double arith = (a1 + g1) / 2.0; double geom = Math.sqrt(a1 * g1); a1 = arith; g1 = geom; } return a1; } public static void main(String[] args) { System.out.println(agm(1.0, 1.0 / Math.sqrt(2.0))); } }
Translate this program into Java but keep the logic exactly as in F#.
let rec agm a g precision = if precision > abs(a - g) then a else agm (0.5 * (a + g)) (sqrt (a * g)) precision printfn "%g" (agm 1. (sqrt(0.5)) 1e-15)
public class ArithmeticGeometricMean { public static double agm(double a, double g) { double a1 = a; double g1 = g; while (Math.abs(a1 - g1) >= 1.0e-14) { double arith = (a1 + g1) / 2.0; double geom = Math.sqrt(a1 * g1); a1 = arith; g1 = geom; } return a1; } public static void main(String[] args) { System.out.println(agm(1.0, 1.0 / Math.sqrt(2.0))); } }
Produce a language-to-language conversion: from F# to Python, same semantics.
let rec agm a g precision = if precision > abs(a - g) then a else agm (0.5 * (a + g)) (sqrt (a * g)) precision printfn "%g" (agm 1. (sqrt(0.5)) 1e-15)
from math import sqrt def agm(a0, g0, tolerance=1e-10): an, gn = (a0 + g0) / 2.0, sqrt(a0 * g0) while abs(an - gn) > tolerance: an, gn = (an + gn) / 2.0, sqrt(an * gn) return an print agm(1, 1 / sqrt(2))
Port the provided F# code into Python while preserving the original functionality.
let rec agm a g precision = if precision > abs(a - g) then a else agm (0.5 * (a + g)) (sqrt (a * g)) precision printfn "%g" (agm 1. (sqrt(0.5)) 1e-15)
from math import sqrt def agm(a0, g0, tolerance=1e-10): an, gn = (a0 + g0) / 2.0, sqrt(a0 * g0) while abs(an - gn) > tolerance: an, gn = (an + gn) / 2.0, sqrt(an * gn) return an print agm(1, 1 / sqrt(2))
Write the same algorithm in VB as shown in this F# implementation.
let rec agm a g precision = if precision > abs(a - g) then a else agm (0.5 * (a + g)) (sqrt (a * g)) precision printfn "%g" (agm 1. (sqrt(0.5)) 1e-15)
Private Function agm(a As Double, g As Double, Optional tolerance As Double = 0.000000000000001) As Double Do While Abs(a - g) > tolerance tmp = a a = (a + g) / 2 g = Sqr(tmp * g) Debug.Print a Loop agm = a End Function Public Sub main() Debug.Print agm(1, 1 / Sqr(2)) End Sub
Produce a language-to-language conversion: from F# to VB, same semantics.
let rec agm a g precision = if precision > abs(a - g) then a else agm (0.5 * (a + g)) (sqrt (a * g)) precision printfn "%g" (agm 1. (sqrt(0.5)) 1e-15)
Private Function agm(a As Double, g As Double, Optional tolerance As Double = 0.000000000000001) As Double Do While Abs(a - g) > tolerance tmp = a a = (a + g) / 2 g = Sqr(tmp * g) Debug.Print a Loop agm = a End Function Public Sub main() Debug.Print agm(1, 1 / Sqr(2)) End Sub
Write the same algorithm in Go as shown in this F# implementation.
let rec agm a g precision = if precision > abs(a - g) then a else agm (0.5 * (a + g)) (sqrt (a * g)) precision printfn "%g" (agm 1. (sqrt(0.5)) 1e-15)
package main import ( "fmt" "math" ) const ε = 1e-14 func agm(a, g float64) float64 { for math.Abs(a-g) > math.Abs(a)*ε { a, g = (a+g)*.5, math.Sqrt(a*g) } return a } func main() { fmt.Println(agm(1, 1/math.Sqrt2)) }
Convert this F# snippet to Go and keep its semantics consistent.
let rec agm a g precision = if precision > abs(a - g) then a else agm (0.5 * (a + g)) (sqrt (a * g)) precision printfn "%g" (agm 1. (sqrt(0.5)) 1e-15)
package main import ( "fmt" "math" ) const ε = 1e-14 func agm(a, g float64) float64 { for math.Abs(a-g) > math.Abs(a)*ε { a, g = (a+g)*.5, math.Sqrt(a*g) } return a } func main() { fmt.Println(agm(1, 1/math.Sqrt2)) }
Can you help me rewrite this code in C instead of Factor, keeping it the same logically?
USING: kernel math math.functions prettyprint ; IN: rosetta-code.arithmetic-geometric-mean : agm ( a g -- a' g' ) 2dup [ + 0.5 * ] 2dip * sqrt ; 1 1 2 sqrt / [ 2dup - 1e-15 > ] [ agm ] while drop .
#include<math.h> #include<stdio.h> #include<stdlib.h> double agm( double a, double g ) { double iota = 1.0E-16; double a1, g1; if( a*g < 0.0 ) { printf( "arithmetic-geometric mean undefined when x*y<0\n" ); exit(1); } while( fabs(a-g)>iota ) { a1 = (a + g) / 2.0; g1 = sqrt(a * g); a = a1; g = g1; } return a; } int main( void ) { double x, y; printf( "Enter two numbers: " ); scanf( "%lf%lf", &x, &y ); printf( "The arithmetic-geometric mean is %lf\n", agm(x, y) ); return 0; }
Rewrite the snippet below in C so it works the same as the original Factor code.
USING: kernel math math.functions prettyprint ; IN: rosetta-code.arithmetic-geometric-mean : agm ( a g -- a' g' ) 2dup [ + 0.5 * ] 2dip * sqrt ; 1 1 2 sqrt / [ 2dup - 1e-15 > ] [ agm ] while drop .
#include<math.h> #include<stdio.h> #include<stdlib.h> double agm( double a, double g ) { double iota = 1.0E-16; double a1, g1; if( a*g < 0.0 ) { printf( "arithmetic-geometric mean undefined when x*y<0\n" ); exit(1); } while( fabs(a-g)>iota ) { a1 = (a + g) / 2.0; g1 = sqrt(a * g); a = a1; g = g1; } return a; } int main( void ) { double x, y; printf( "Enter two numbers: " ); scanf( "%lf%lf", &x, &y ); printf( "The arithmetic-geometric mean is %lf\n", agm(x, y) ); return 0; }
Translate the given Factor code snippet into C# without altering its behavior.
USING: kernel math math.functions prettyprint ; IN: rosetta-code.arithmetic-geometric-mean : agm ( a g -- a' g' ) 2dup [ + 0.5 * ] 2dip * sqrt ; 1 1 2 sqrt / [ 2dup - 1e-15 > ] [ agm ] while drop .
namespace RosettaCode.ArithmeticGeometricMean { using System; using System.Collections.Generic; using System.Globalization; internal static class Program { private static double ArithmeticGeometricMean(double number, double otherNumber, IEqualityComparer<double> comparer) { return comparer.Equals(number, otherNumber) ? number : ArithmeticGeometricMean( ArithmeticMean(number, otherNumber), GeometricMean(number, otherNumber), comparer); } private static double ArithmeticMean(double number, double otherNumber) { return 0.5 * (number + otherNumber); } private static double GeometricMean(double number, double otherNumber) { return Math.Sqrt(number * otherNumber); } private static void Main() { Console.WriteLine( ArithmeticGeometricMean(1, 0.5 * Math.Sqrt(2), new RelativeDifferenceComparer(1e-5)). ToString(CultureInfo.InvariantCulture)); } private class RelativeDifferenceComparer : IEqualityComparer<double> { private readonly double _maximumRelativeDifference; internal RelativeDifferenceComparer(double maximumRelativeDifference) { _maximumRelativeDifference = maximumRelativeDifference; } public bool Equals(double number, double otherNumber) { return RelativeDifference(number, otherNumber) <= _maximumRelativeDifference; } public int GetHashCode(double number) { return number.GetHashCode(); } private static double RelativeDifference(double number, double otherNumber) { return AbsoluteDifference(number, otherNumber) / Norm(number, otherNumber); } private static double AbsoluteDifference(double number, double otherNumber) { return Math.Abs(number - otherNumber); } private static double Norm(double number, double otherNumber) { return 0.5 * (Math.Abs(number) + Math.Abs(otherNumber)); } } } }
Generate a C# translation of this Factor snippet without changing its computational steps.
USING: kernel math math.functions prettyprint ; IN: rosetta-code.arithmetic-geometric-mean : agm ( a g -- a' g' ) 2dup [ + 0.5 * ] 2dip * sqrt ; 1 1 2 sqrt / [ 2dup - 1e-15 > ] [ agm ] while drop .
namespace RosettaCode.ArithmeticGeometricMean { using System; using System.Collections.Generic; using System.Globalization; internal static class Program { private static double ArithmeticGeometricMean(double number, double otherNumber, IEqualityComparer<double> comparer) { return comparer.Equals(number, otherNumber) ? number : ArithmeticGeometricMean( ArithmeticMean(number, otherNumber), GeometricMean(number, otherNumber), comparer); } private static double ArithmeticMean(double number, double otherNumber) { return 0.5 * (number + otherNumber); } private static double GeometricMean(double number, double otherNumber) { return Math.Sqrt(number * otherNumber); } private static void Main() { Console.WriteLine( ArithmeticGeometricMean(1, 0.5 * Math.Sqrt(2), new RelativeDifferenceComparer(1e-5)). ToString(CultureInfo.InvariantCulture)); } private class RelativeDifferenceComparer : IEqualityComparer<double> { private readonly double _maximumRelativeDifference; internal RelativeDifferenceComparer(double maximumRelativeDifference) { _maximumRelativeDifference = maximumRelativeDifference; } public bool Equals(double number, double otherNumber) { return RelativeDifference(number, otherNumber) <= _maximumRelativeDifference; } public int GetHashCode(double number) { return number.GetHashCode(); } private static double RelativeDifference(double number, double otherNumber) { return AbsoluteDifference(number, otherNumber) / Norm(number, otherNumber); } private static double AbsoluteDifference(double number, double otherNumber) { return Math.Abs(number - otherNumber); } private static double Norm(double number, double otherNumber) { return 0.5 * (Math.Abs(number) + Math.Abs(otherNumber)); } } } }
Translate the given Factor code snippet into C++ without altering its behavior.
USING: kernel math math.functions prettyprint ; IN: rosetta-code.arithmetic-geometric-mean : agm ( a g -- a' g' ) 2dup [ + 0.5 * ] 2dip * sqrt ; 1 1 2 sqrt / [ 2dup - 1e-15 > ] [ agm ] while drop .
#include "gmp.h" void agm (const mpf_t in1, const mpf_t in2, mpf_t out1, mpf_t out2) { mpf_add (out1, in1, in2); mpf_div_ui (out1, out1, 2); mpf_mul (out2, in1, in2); mpf_sqrt (out2, out2); } int main (void) { mpf_set_default_prec (65568); mpf_t x0, y0, resA, resB; mpf_init_set_ui (y0, 1); mpf_init_set_d (x0, 0.5); mpf_sqrt (x0, x0); mpf_init (resA); mpf_init (resB); for(int i=0; i<7; i++){ agm(x0, y0, resA, resB); agm(resA, resB, x0, y0); } gmp_printf ("%.20000Ff\n", x0); gmp_printf ("%.20000Ff\n\n", y0); return 0; }
Translate the given Factor code snippet into C++ without altering its behavior.
USING: kernel math math.functions prettyprint ; IN: rosetta-code.arithmetic-geometric-mean : agm ( a g -- a' g' ) 2dup [ + 0.5 * ] 2dip * sqrt ; 1 1 2 sqrt / [ 2dup - 1e-15 > ] [ agm ] while drop .
#include "gmp.h" void agm (const mpf_t in1, const mpf_t in2, mpf_t out1, mpf_t out2) { mpf_add (out1, in1, in2); mpf_div_ui (out1, out1, 2); mpf_mul (out2, in1, in2); mpf_sqrt (out2, out2); } int main (void) { mpf_set_default_prec (65568); mpf_t x0, y0, resA, resB; mpf_init_set_ui (y0, 1); mpf_init_set_d (x0, 0.5); mpf_sqrt (x0, x0); mpf_init (resA); mpf_init (resB); for(int i=0; i<7; i++){ agm(x0, y0, resA, resB); agm(resA, resB, x0, y0); } gmp_printf ("%.20000Ff\n", x0); gmp_printf ("%.20000Ff\n\n", y0); return 0; }
Change the programming language of this snippet from Factor to Java without modifying what it does.
USING: kernel math math.functions prettyprint ; IN: rosetta-code.arithmetic-geometric-mean : agm ( a g -- a' g' ) 2dup [ + 0.5 * ] 2dip * sqrt ; 1 1 2 sqrt / [ 2dup - 1e-15 > ] [ agm ] while drop .
public class ArithmeticGeometricMean { public static double agm(double a, double g) { double a1 = a; double g1 = g; while (Math.abs(a1 - g1) >= 1.0e-14) { double arith = (a1 + g1) / 2.0; double geom = Math.sqrt(a1 * g1); a1 = arith; g1 = geom; } return a1; } public static void main(String[] args) { System.out.println(agm(1.0, 1.0 / Math.sqrt(2.0))); } }
Rewrite the snippet below in Java so it works the same as the original Factor code.
USING: kernel math math.functions prettyprint ; IN: rosetta-code.arithmetic-geometric-mean : agm ( a g -- a' g' ) 2dup [ + 0.5 * ] 2dip * sqrt ; 1 1 2 sqrt / [ 2dup - 1e-15 > ] [ agm ] while drop .
public class ArithmeticGeometricMean { public static double agm(double a, double g) { double a1 = a; double g1 = g; while (Math.abs(a1 - g1) >= 1.0e-14) { double arith = (a1 + g1) / 2.0; double geom = Math.sqrt(a1 * g1); a1 = arith; g1 = geom; } return a1; } public static void main(String[] args) { System.out.println(agm(1.0, 1.0 / Math.sqrt(2.0))); } }
Change the following Factor code into Python without altering its purpose.
USING: kernel math math.functions prettyprint ; IN: rosetta-code.arithmetic-geometric-mean : agm ( a g -- a' g' ) 2dup [ + 0.5 * ] 2dip * sqrt ; 1 1 2 sqrt / [ 2dup - 1e-15 > ] [ agm ] while drop .
from math import sqrt def agm(a0, g0, tolerance=1e-10): an, gn = (a0 + g0) / 2.0, sqrt(a0 * g0) while abs(an - gn) > tolerance: an, gn = (an + gn) / 2.0, sqrt(an * gn) return an print agm(1, 1 / sqrt(2))
Please provide an equivalent version of this Factor code in Python.
USING: kernel math math.functions prettyprint ; IN: rosetta-code.arithmetic-geometric-mean : agm ( a g -- a' g' ) 2dup [ + 0.5 * ] 2dip * sqrt ; 1 1 2 sqrt / [ 2dup - 1e-15 > ] [ agm ] while drop .
from math import sqrt def agm(a0, g0, tolerance=1e-10): an, gn = (a0 + g0) / 2.0, sqrt(a0 * g0) while abs(an - gn) > tolerance: an, gn = (an + gn) / 2.0, sqrt(an * gn) return an print agm(1, 1 / sqrt(2))
Change the following Factor code into VB without altering its purpose.
USING: kernel math math.functions prettyprint ; IN: rosetta-code.arithmetic-geometric-mean : agm ( a g -- a' g' ) 2dup [ + 0.5 * ] 2dip * sqrt ; 1 1 2 sqrt / [ 2dup - 1e-15 > ] [ agm ] while drop .
Private Function agm(a As Double, g As Double, Optional tolerance As Double = 0.000000000000001) As Double Do While Abs(a - g) > tolerance tmp = a a = (a + g) / 2 g = Sqr(tmp * g) Debug.Print a Loop agm = a End Function Public Sub main() Debug.Print agm(1, 1 / Sqr(2)) End Sub
Rewrite the snippet below in VB so it works the same as the original Factor code.
USING: kernel math math.functions prettyprint ; IN: rosetta-code.arithmetic-geometric-mean : agm ( a g -- a' g' ) 2dup [ + 0.5 * ] 2dip * sqrt ; 1 1 2 sqrt / [ 2dup - 1e-15 > ] [ agm ] while drop .
Private Function agm(a As Double, g As Double, Optional tolerance As Double = 0.000000000000001) As Double Do While Abs(a - g) > tolerance tmp = a a = (a + g) / 2 g = Sqr(tmp * g) Debug.Print a Loop agm = a End Function Public Sub main() Debug.Print agm(1, 1 / Sqr(2)) End Sub
Rewrite this program in Go while keeping its functionality equivalent to the Factor version.
USING: kernel math math.functions prettyprint ; IN: rosetta-code.arithmetic-geometric-mean : agm ( a g -- a' g' ) 2dup [ + 0.5 * ] 2dip * sqrt ; 1 1 2 sqrt / [ 2dup - 1e-15 > ] [ agm ] while drop .
package main import ( "fmt" "math" ) const ε = 1e-14 func agm(a, g float64) float64 { for math.Abs(a-g) > math.Abs(a)*ε { a, g = (a+g)*.5, math.Sqrt(a*g) } return a } func main() { fmt.Println(agm(1, 1/math.Sqrt2)) }
Generate an equivalent Go version of this Factor code.
USING: kernel math math.functions prettyprint ; IN: rosetta-code.arithmetic-geometric-mean : agm ( a g -- a' g' ) 2dup [ + 0.5 * ] 2dip * sqrt ; 1 1 2 sqrt / [ 2dup - 1e-15 > ] [ agm ] while drop .
package main import ( "fmt" "math" ) const ε = 1e-14 func agm(a, g float64) float64 { for math.Abs(a-g) > math.Abs(a)*ε { a, g = (a+g)*.5, math.Sqrt(a*g) } return a } func main() { fmt.Println(agm(1, 1/math.Sqrt2)) }
Produce a functionally identical C code for the snippet given in Forth.
: agm begin fover fover f+ 2e f/ frot frot f* fsqrt fover fover 1e-15 f~ until fdrop ; 1e 2e -0.5e f** agm f.
#include<math.h> #include<stdio.h> #include<stdlib.h> double agm( double a, double g ) { double iota = 1.0E-16; double a1, g1; if( a*g < 0.0 ) { printf( "arithmetic-geometric mean undefined when x*y<0\n" ); exit(1); } while( fabs(a-g)>iota ) { a1 = (a + g) / 2.0; g1 = sqrt(a * g); a = a1; g = g1; } return a; } int main( void ) { double x, y; printf( "Enter two numbers: " ); scanf( "%lf%lf", &x, &y ); printf( "The arithmetic-geometric mean is %lf\n", agm(x, y) ); return 0; }
Convert this Forth block to C, preserving its control flow and logic.
: agm begin fover fover f+ 2e f/ frot frot f* fsqrt fover fover 1e-15 f~ until fdrop ; 1e 2e -0.5e f** agm f.
#include<math.h> #include<stdio.h> #include<stdlib.h> double agm( double a, double g ) { double iota = 1.0E-16; double a1, g1; if( a*g < 0.0 ) { printf( "arithmetic-geometric mean undefined when x*y<0\n" ); exit(1); } while( fabs(a-g)>iota ) { a1 = (a + g) / 2.0; g1 = sqrt(a * g); a = a1; g = g1; } return a; } int main( void ) { double x, y; printf( "Enter two numbers: " ); scanf( "%lf%lf", &x, &y ); printf( "The arithmetic-geometric mean is %lf\n", agm(x, y) ); return 0; }
Change the programming language of this snippet from Forth to C# without modifying what it does.
: agm begin fover fover f+ 2e f/ frot frot f* fsqrt fover fover 1e-15 f~ until fdrop ; 1e 2e -0.5e f** agm f.
namespace RosettaCode.ArithmeticGeometricMean { using System; using System.Collections.Generic; using System.Globalization; internal static class Program { private static double ArithmeticGeometricMean(double number, double otherNumber, IEqualityComparer<double> comparer) { return comparer.Equals(number, otherNumber) ? number : ArithmeticGeometricMean( ArithmeticMean(number, otherNumber), GeometricMean(number, otherNumber), comparer); } private static double ArithmeticMean(double number, double otherNumber) { return 0.5 * (number + otherNumber); } private static double GeometricMean(double number, double otherNumber) { return Math.Sqrt(number * otherNumber); } private static void Main() { Console.WriteLine( ArithmeticGeometricMean(1, 0.5 * Math.Sqrt(2), new RelativeDifferenceComparer(1e-5)). ToString(CultureInfo.InvariantCulture)); } private class RelativeDifferenceComparer : IEqualityComparer<double> { private readonly double _maximumRelativeDifference; internal RelativeDifferenceComparer(double maximumRelativeDifference) { _maximumRelativeDifference = maximumRelativeDifference; } public bool Equals(double number, double otherNumber) { return RelativeDifference(number, otherNumber) <= _maximumRelativeDifference; } public int GetHashCode(double number) { return number.GetHashCode(); } private static double RelativeDifference(double number, double otherNumber) { return AbsoluteDifference(number, otherNumber) / Norm(number, otherNumber); } private static double AbsoluteDifference(double number, double otherNumber) { return Math.Abs(number - otherNumber); } private static double Norm(double number, double otherNumber) { return 0.5 * (Math.Abs(number) + Math.Abs(otherNumber)); } } } }
Translate this program into C# but keep the logic exactly as in Forth.
: agm begin fover fover f+ 2e f/ frot frot f* fsqrt fover fover 1e-15 f~ until fdrop ; 1e 2e -0.5e f** agm f.
namespace RosettaCode.ArithmeticGeometricMean { using System; using System.Collections.Generic; using System.Globalization; internal static class Program { private static double ArithmeticGeometricMean(double number, double otherNumber, IEqualityComparer<double> comparer) { return comparer.Equals(number, otherNumber) ? number : ArithmeticGeometricMean( ArithmeticMean(number, otherNumber), GeometricMean(number, otherNumber), comparer); } private static double ArithmeticMean(double number, double otherNumber) { return 0.5 * (number + otherNumber); } private static double GeometricMean(double number, double otherNumber) { return Math.Sqrt(number * otherNumber); } private static void Main() { Console.WriteLine( ArithmeticGeometricMean(1, 0.5 * Math.Sqrt(2), new RelativeDifferenceComparer(1e-5)). ToString(CultureInfo.InvariantCulture)); } private class RelativeDifferenceComparer : IEqualityComparer<double> { private readonly double _maximumRelativeDifference; internal RelativeDifferenceComparer(double maximumRelativeDifference) { _maximumRelativeDifference = maximumRelativeDifference; } public bool Equals(double number, double otherNumber) { return RelativeDifference(number, otherNumber) <= _maximumRelativeDifference; } public int GetHashCode(double number) { return number.GetHashCode(); } private static double RelativeDifference(double number, double otherNumber) { return AbsoluteDifference(number, otherNumber) / Norm(number, otherNumber); } private static double AbsoluteDifference(double number, double otherNumber) { return Math.Abs(number - otherNumber); } private static double Norm(double number, double otherNumber) { return 0.5 * (Math.Abs(number) + Math.Abs(otherNumber)); } } } }
Rewrite this program in C++ while keeping its functionality equivalent to the Forth version.
: agm begin fover fover f+ 2e f/ frot frot f* fsqrt fover fover 1e-15 f~ until fdrop ; 1e 2e -0.5e f** agm f.
#include "gmp.h" void agm (const mpf_t in1, const mpf_t in2, mpf_t out1, mpf_t out2) { mpf_add (out1, in1, in2); mpf_div_ui (out1, out1, 2); mpf_mul (out2, in1, in2); mpf_sqrt (out2, out2); } int main (void) { mpf_set_default_prec (65568); mpf_t x0, y0, resA, resB; mpf_init_set_ui (y0, 1); mpf_init_set_d (x0, 0.5); mpf_sqrt (x0, x0); mpf_init (resA); mpf_init (resB); for(int i=0; i<7; i++){ agm(x0, y0, resA, resB); agm(resA, resB, x0, y0); } gmp_printf ("%.20000Ff\n", x0); gmp_printf ("%.20000Ff\n\n", y0); return 0; }
Rewrite the snippet below in C++ so it works the same as the original Forth code.
: agm begin fover fover f+ 2e f/ frot frot f* fsqrt fover fover 1e-15 f~ until fdrop ; 1e 2e -0.5e f** agm f.
#include "gmp.h" void agm (const mpf_t in1, const mpf_t in2, mpf_t out1, mpf_t out2) { mpf_add (out1, in1, in2); mpf_div_ui (out1, out1, 2); mpf_mul (out2, in1, in2); mpf_sqrt (out2, out2); } int main (void) { mpf_set_default_prec (65568); mpf_t x0, y0, resA, resB; mpf_init_set_ui (y0, 1); mpf_init_set_d (x0, 0.5); mpf_sqrt (x0, x0); mpf_init (resA); mpf_init (resB); for(int i=0; i<7; i++){ agm(x0, y0, resA, resB); agm(resA, resB, x0, y0); } gmp_printf ("%.20000Ff\n", x0); gmp_printf ("%.20000Ff\n\n", y0); return 0; }
Convert this Forth snippet to Java and keep its semantics consistent.
: agm begin fover fover f+ 2e f/ frot frot f* fsqrt fover fover 1e-15 f~ until fdrop ; 1e 2e -0.5e f** agm f.
public class ArithmeticGeometricMean { public static double agm(double a, double g) { double a1 = a; double g1 = g; while (Math.abs(a1 - g1) >= 1.0e-14) { double arith = (a1 + g1) / 2.0; double geom = Math.sqrt(a1 * g1); a1 = arith; g1 = geom; } return a1; } public static void main(String[] args) { System.out.println(agm(1.0, 1.0 / Math.sqrt(2.0))); } }
Can you help me rewrite this code in Java instead of Forth, keeping it the same logically?
: agm begin fover fover f+ 2e f/ frot frot f* fsqrt fover fover 1e-15 f~ until fdrop ; 1e 2e -0.5e f** agm f.
public class ArithmeticGeometricMean { public static double agm(double a, double g) { double a1 = a; double g1 = g; while (Math.abs(a1 - g1) >= 1.0e-14) { double arith = (a1 + g1) / 2.0; double geom = Math.sqrt(a1 * g1); a1 = arith; g1 = geom; } return a1; } public static void main(String[] args) { System.out.println(agm(1.0, 1.0 / Math.sqrt(2.0))); } }
Keep all operations the same but rewrite the snippet in Python.
: agm begin fover fover f+ 2e f/ frot frot f* fsqrt fover fover 1e-15 f~ until fdrop ; 1e 2e -0.5e f** agm f.
from math import sqrt def agm(a0, g0, tolerance=1e-10): an, gn = (a0 + g0) / 2.0, sqrt(a0 * g0) while abs(an - gn) > tolerance: an, gn = (an + gn) / 2.0, sqrt(an * gn) return an print agm(1, 1 / sqrt(2))
Produce a functionally identical Python code for the snippet given in Forth.
: agm begin fover fover f+ 2e f/ frot frot f* fsqrt fover fover 1e-15 f~ until fdrop ; 1e 2e -0.5e f** agm f.
from math import sqrt def agm(a0, g0, tolerance=1e-10): an, gn = (a0 + g0) / 2.0, sqrt(a0 * g0) while abs(an - gn) > tolerance: an, gn = (an + gn) / 2.0, sqrt(an * gn) return an print agm(1, 1 / sqrt(2))
Change the programming language of this snippet from Forth to VB without modifying what it does.
: agm begin fover fover f+ 2e f/ frot frot f* fsqrt fover fover 1e-15 f~ until fdrop ; 1e 2e -0.5e f** agm f.
Private Function agm(a As Double, g As Double, Optional tolerance As Double = 0.000000000000001) As Double Do While Abs(a - g) > tolerance tmp = a a = (a + g) / 2 g = Sqr(tmp * g) Debug.Print a Loop agm = a End Function Public Sub main() Debug.Print agm(1, 1 / Sqr(2)) End Sub
Port the provided Forth code into VB while preserving the original functionality.
: agm begin fover fover f+ 2e f/ frot frot f* fsqrt fover fover 1e-15 f~ until fdrop ; 1e 2e -0.5e f** agm f.
Private Function agm(a As Double, g As Double, Optional tolerance As Double = 0.000000000000001) As Double Do While Abs(a - g) > tolerance tmp = a a = (a + g) / 2 g = Sqr(tmp * g) Debug.Print a Loop agm = a End Function Public Sub main() Debug.Print agm(1, 1 / Sqr(2)) End Sub
Produce a language-to-language conversion: from Forth to Go, same semantics.
: agm begin fover fover f+ 2e f/ frot frot f* fsqrt fover fover 1e-15 f~ until fdrop ; 1e 2e -0.5e f** agm f.
package main import ( "fmt" "math" ) const ε = 1e-14 func agm(a, g float64) float64 { for math.Abs(a-g) > math.Abs(a)*ε { a, g = (a+g)*.5, math.Sqrt(a*g) } return a } func main() { fmt.Println(agm(1, 1/math.Sqrt2)) }
Write the same code in Go as shown below in Forth.
: agm begin fover fover f+ 2e f/ frot frot f* fsqrt fover fover 1e-15 f~ until fdrop ; 1e 2e -0.5e f** agm f.
package main import ( "fmt" "math" ) const ε = 1e-14 func agm(a, g float64) float64 { for math.Abs(a-g) > math.Abs(a)*ε { a, g = (a+g)*.5, math.Sqrt(a*g) } return a } func main() { fmt.Println(agm(1, 1/math.Sqrt2)) }
Keep all operations the same but rewrite the snippet in C#.
function agm(a,b) implicit none double precision agm,a,b,eps,c parameter(eps=1.0d-15) 10 c=0.5d0*(a+b) b=sqrt(a*b) a=c if(a-b.gt.eps*a) go to 10 agm=0.5d0*(a+b) end program test implicit none double precision agm print*,agm(1.0d0,1.0d0/sqrt(2.0d0)) end
namespace RosettaCode.ArithmeticGeometricMean { using System; using System.Collections.Generic; using System.Globalization; internal static class Program { private static double ArithmeticGeometricMean(double number, double otherNumber, IEqualityComparer<double> comparer) { return comparer.Equals(number, otherNumber) ? number : ArithmeticGeometricMean( ArithmeticMean(number, otherNumber), GeometricMean(number, otherNumber), comparer); } private static double ArithmeticMean(double number, double otherNumber) { return 0.5 * (number + otherNumber); } private static double GeometricMean(double number, double otherNumber) { return Math.Sqrt(number * otherNumber); } private static void Main() { Console.WriteLine( ArithmeticGeometricMean(1, 0.5 * Math.Sqrt(2), new RelativeDifferenceComparer(1e-5)). ToString(CultureInfo.InvariantCulture)); } private class RelativeDifferenceComparer : IEqualityComparer<double> { private readonly double _maximumRelativeDifference; internal RelativeDifferenceComparer(double maximumRelativeDifference) { _maximumRelativeDifference = maximumRelativeDifference; } public bool Equals(double number, double otherNumber) { return RelativeDifference(number, otherNumber) <= _maximumRelativeDifference; } public int GetHashCode(double number) { return number.GetHashCode(); } private static double RelativeDifference(double number, double otherNumber) { return AbsoluteDifference(number, otherNumber) / Norm(number, otherNumber); } private static double AbsoluteDifference(double number, double otherNumber) { return Math.Abs(number - otherNumber); } private static double Norm(double number, double otherNumber) { return 0.5 * (Math.Abs(number) + Math.Abs(otherNumber)); } } } }
Preserve the algorithm and functionality while converting the code from Fortran to C#.
function agm(a,b) implicit none double precision agm,a,b,eps,c parameter(eps=1.0d-15) 10 c=0.5d0*(a+b) b=sqrt(a*b) a=c if(a-b.gt.eps*a) go to 10 agm=0.5d0*(a+b) end program test implicit none double precision agm print*,agm(1.0d0,1.0d0/sqrt(2.0d0)) end
namespace RosettaCode.ArithmeticGeometricMean { using System; using System.Collections.Generic; using System.Globalization; internal static class Program { private static double ArithmeticGeometricMean(double number, double otherNumber, IEqualityComparer<double> comparer) { return comparer.Equals(number, otherNumber) ? number : ArithmeticGeometricMean( ArithmeticMean(number, otherNumber), GeometricMean(number, otherNumber), comparer); } private static double ArithmeticMean(double number, double otherNumber) { return 0.5 * (number + otherNumber); } private static double GeometricMean(double number, double otherNumber) { return Math.Sqrt(number * otherNumber); } private static void Main() { Console.WriteLine( ArithmeticGeometricMean(1, 0.5 * Math.Sqrt(2), new RelativeDifferenceComparer(1e-5)). ToString(CultureInfo.InvariantCulture)); } private class RelativeDifferenceComparer : IEqualityComparer<double> { private readonly double _maximumRelativeDifference; internal RelativeDifferenceComparer(double maximumRelativeDifference) { _maximumRelativeDifference = maximumRelativeDifference; } public bool Equals(double number, double otherNumber) { return RelativeDifference(number, otherNumber) <= _maximumRelativeDifference; } public int GetHashCode(double number) { return number.GetHashCode(); } private static double RelativeDifference(double number, double otherNumber) { return AbsoluteDifference(number, otherNumber) / Norm(number, otherNumber); } private static double AbsoluteDifference(double number, double otherNumber) { return Math.Abs(number - otherNumber); } private static double Norm(double number, double otherNumber) { return 0.5 * (Math.Abs(number) + Math.Abs(otherNumber)); } } } }
Convert this Fortran block to C++, preserving its control flow and logic.
function agm(a,b) implicit none double precision agm,a,b,eps,c parameter(eps=1.0d-15) 10 c=0.5d0*(a+b) b=sqrt(a*b) a=c if(a-b.gt.eps*a) go to 10 agm=0.5d0*(a+b) end program test implicit none double precision agm print*,agm(1.0d0,1.0d0/sqrt(2.0d0)) end
#include "gmp.h" void agm (const mpf_t in1, const mpf_t in2, mpf_t out1, mpf_t out2) { mpf_add (out1, in1, in2); mpf_div_ui (out1, out1, 2); mpf_mul (out2, in1, in2); mpf_sqrt (out2, out2); } int main (void) { mpf_set_default_prec (65568); mpf_t x0, y0, resA, resB; mpf_init_set_ui (y0, 1); mpf_init_set_d (x0, 0.5); mpf_sqrt (x0, x0); mpf_init (resA); mpf_init (resB); for(int i=0; i<7; i++){ agm(x0, y0, resA, resB); agm(resA, resB, x0, y0); } gmp_printf ("%.20000Ff\n", x0); gmp_printf ("%.20000Ff\n\n", y0); return 0; }
Convert this Fortran block to C++, preserving its control flow and logic.
function agm(a,b) implicit none double precision agm,a,b,eps,c parameter(eps=1.0d-15) 10 c=0.5d0*(a+b) b=sqrt(a*b) a=c if(a-b.gt.eps*a) go to 10 agm=0.5d0*(a+b) end program test implicit none double precision agm print*,agm(1.0d0,1.0d0/sqrt(2.0d0)) end
#include "gmp.h" void agm (const mpf_t in1, const mpf_t in2, mpf_t out1, mpf_t out2) { mpf_add (out1, in1, in2); mpf_div_ui (out1, out1, 2); mpf_mul (out2, in1, in2); mpf_sqrt (out2, out2); } int main (void) { mpf_set_default_prec (65568); mpf_t x0, y0, resA, resB; mpf_init_set_ui (y0, 1); mpf_init_set_d (x0, 0.5); mpf_sqrt (x0, x0); mpf_init (resA); mpf_init (resB); for(int i=0; i<7; i++){ agm(x0, y0, resA, resB); agm(resA, resB, x0, y0); } gmp_printf ("%.20000Ff\n", x0); gmp_printf ("%.20000Ff\n\n", y0); return 0; }
Write a version of this Fortran function in C with identical behavior.
function agm(a,b) implicit none double precision agm,a,b,eps,c parameter(eps=1.0d-15) 10 c=0.5d0*(a+b) b=sqrt(a*b) a=c if(a-b.gt.eps*a) go to 10 agm=0.5d0*(a+b) end program test implicit none double precision agm print*,agm(1.0d0,1.0d0/sqrt(2.0d0)) end
#include<math.h> #include<stdio.h> #include<stdlib.h> double agm( double a, double g ) { double iota = 1.0E-16; double a1, g1; if( a*g < 0.0 ) { printf( "arithmetic-geometric mean undefined when x*y<0\n" ); exit(1); } while( fabs(a-g)>iota ) { a1 = (a + g) / 2.0; g1 = sqrt(a * g); a = a1; g = g1; } return a; } int main( void ) { double x, y; printf( "Enter two numbers: " ); scanf( "%lf%lf", &x, &y ); printf( "The arithmetic-geometric mean is %lf\n", agm(x, y) ); return 0; }
Write the same algorithm in C as shown in this Fortran implementation.
function agm(a,b) implicit none double precision agm,a,b,eps,c parameter(eps=1.0d-15) 10 c=0.5d0*(a+b) b=sqrt(a*b) a=c if(a-b.gt.eps*a) go to 10 agm=0.5d0*(a+b) end program test implicit none double precision agm print*,agm(1.0d0,1.0d0/sqrt(2.0d0)) end
#include<math.h> #include<stdio.h> #include<stdlib.h> double agm( double a, double g ) { double iota = 1.0E-16; double a1, g1; if( a*g < 0.0 ) { printf( "arithmetic-geometric mean undefined when x*y<0\n" ); exit(1); } while( fabs(a-g)>iota ) { a1 = (a + g) / 2.0; g1 = sqrt(a * g); a = a1; g = g1; } return a; } int main( void ) { double x, y; printf( "Enter two numbers: " ); scanf( "%lf%lf", &x, &y ); printf( "The arithmetic-geometric mean is %lf\n", agm(x, y) ); return 0; }
Rewrite this program in Java while keeping its functionality equivalent to the Fortran version.
function agm(a,b) implicit none double precision agm,a,b,eps,c parameter(eps=1.0d-15) 10 c=0.5d0*(a+b) b=sqrt(a*b) a=c if(a-b.gt.eps*a) go to 10 agm=0.5d0*(a+b) end program test implicit none double precision agm print*,agm(1.0d0,1.0d0/sqrt(2.0d0)) end
public class ArithmeticGeometricMean { public static double agm(double a, double g) { double a1 = a; double g1 = g; while (Math.abs(a1 - g1) >= 1.0e-14) { double arith = (a1 + g1) / 2.0; double geom = Math.sqrt(a1 * g1); a1 = arith; g1 = geom; } return a1; } public static void main(String[] args) { System.out.println(agm(1.0, 1.0 / Math.sqrt(2.0))); } }
Write a version of this Fortran function in Java with identical behavior.
function agm(a,b) implicit none double precision agm,a,b,eps,c parameter(eps=1.0d-15) 10 c=0.5d0*(a+b) b=sqrt(a*b) a=c if(a-b.gt.eps*a) go to 10 agm=0.5d0*(a+b) end program test implicit none double precision agm print*,agm(1.0d0,1.0d0/sqrt(2.0d0)) end
public class ArithmeticGeometricMean { public static double agm(double a, double g) { double a1 = a; double g1 = g; while (Math.abs(a1 - g1) >= 1.0e-14) { double arith = (a1 + g1) / 2.0; double geom = Math.sqrt(a1 * g1); a1 = arith; g1 = geom; } return a1; } public static void main(String[] args) { System.out.println(agm(1.0, 1.0 / Math.sqrt(2.0))); } }
Generate an equivalent Python version of this Fortran code.
function agm(a,b) implicit none double precision agm,a,b,eps,c parameter(eps=1.0d-15) 10 c=0.5d0*(a+b) b=sqrt(a*b) a=c if(a-b.gt.eps*a) go to 10 agm=0.5d0*(a+b) end program test implicit none double precision agm print*,agm(1.0d0,1.0d0/sqrt(2.0d0)) end
from math import sqrt def agm(a0, g0, tolerance=1e-10): an, gn = (a0 + g0) / 2.0, sqrt(a0 * g0) while abs(an - gn) > tolerance: an, gn = (an + gn) / 2.0, sqrt(an * gn) return an print agm(1, 1 / sqrt(2))
Generate a Python translation of this Fortran snippet without changing its computational steps.
function agm(a,b) implicit none double precision agm,a,b,eps,c parameter(eps=1.0d-15) 10 c=0.5d0*(a+b) b=sqrt(a*b) a=c if(a-b.gt.eps*a) go to 10 agm=0.5d0*(a+b) end program test implicit none double precision agm print*,agm(1.0d0,1.0d0/sqrt(2.0d0)) end
from math import sqrt def agm(a0, g0, tolerance=1e-10): an, gn = (a0 + g0) / 2.0, sqrt(a0 * g0) while abs(an - gn) > tolerance: an, gn = (an + gn) / 2.0, sqrt(an * gn) return an print agm(1, 1 / sqrt(2))
Change the programming language of this snippet from Fortran to VB without modifying what it does.
function agm(a,b) implicit none double precision agm,a,b,eps,c parameter(eps=1.0d-15) 10 c=0.5d0*(a+b) b=sqrt(a*b) a=c if(a-b.gt.eps*a) go to 10 agm=0.5d0*(a+b) end program test implicit none double precision agm print*,agm(1.0d0,1.0d0/sqrt(2.0d0)) end
Private Function agm(a As Double, g As Double, Optional tolerance As Double = 0.000000000000001) As Double Do While Abs(a - g) > tolerance tmp = a a = (a + g) / 2 g = Sqr(tmp * g) Debug.Print a Loop agm = a End Function Public Sub main() Debug.Print agm(1, 1 / Sqr(2)) End Sub
Generate a VB translation of this Fortran snippet without changing its computational steps.
function agm(a,b) implicit none double precision agm,a,b,eps,c parameter(eps=1.0d-15) 10 c=0.5d0*(a+b) b=sqrt(a*b) a=c if(a-b.gt.eps*a) go to 10 agm=0.5d0*(a+b) end program test implicit none double precision agm print*,agm(1.0d0,1.0d0/sqrt(2.0d0)) end
Private Function agm(a As Double, g As Double, Optional tolerance As Double = 0.000000000000001) As Double Do While Abs(a - g) > tolerance tmp = a a = (a + g) / 2 g = Sqr(tmp * g) Debug.Print a Loop agm = a End Function Public Sub main() Debug.Print agm(1, 1 / Sqr(2)) End Sub
Convert this Fortran block to PHP, preserving its control flow and logic.
function agm(a,b) implicit none double precision agm,a,b,eps,c parameter(eps=1.0d-15) 10 c=0.5d0*(a+b) b=sqrt(a*b) a=c if(a-b.gt.eps*a) go to 10 agm=0.5d0*(a+b) end program test implicit none double precision agm print*,agm(1.0d0,1.0d0/sqrt(2.0d0)) end
define('PRECISION', 13); function agm($a0, $g0, $tolerance = 1e-10) { $limit = number_format($tolerance, PRECISION, '.', ''); $an = $a0; $gn = $g0; do { list($an, $gn) = array( bcdiv(bcadd($an, $gn), 2), bcsqrt(bcmul($an, $gn)), ); } while (bccomp(bcsub($an, $gn), $limit) > 0); return $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Port the following code from Fortran to PHP with equivalent syntax and logic.
function agm(a,b) implicit none double precision agm,a,b,eps,c parameter(eps=1.0d-15) 10 c=0.5d0*(a+b) b=sqrt(a*b) a=c if(a-b.gt.eps*a) go to 10 agm=0.5d0*(a+b) end program test implicit none double precision agm print*,agm(1.0d0,1.0d0/sqrt(2.0d0)) end
define('PRECISION', 13); function agm($a0, $g0, $tolerance = 1e-10) { $limit = number_format($tolerance, PRECISION, '.', ''); $an = $a0; $gn = $g0; do { list($an, $gn) = array( bcdiv(bcadd($an, $gn), 2), bcsqrt(bcmul($an, $gn)), ); } while (bccomp(bcsub($an, $gn), $limit) > 0); return $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Change the following Groovy code into C without altering its purpose.
double agm (double a, double g) { double an = a, gn = g while ((an-gn).abs() >= 10.0**-14) { (an, gn) = [(an+gn)*0.5, (an*gn)**0.5] } an }
#include<math.h> #include<stdio.h> #include<stdlib.h> double agm( double a, double g ) { double iota = 1.0E-16; double a1, g1; if( a*g < 0.0 ) { printf( "arithmetic-geometric mean undefined when x*y<0\n" ); exit(1); } while( fabs(a-g)>iota ) { a1 = (a + g) / 2.0; g1 = sqrt(a * g); a = a1; g = g1; } return a; } int main( void ) { double x, y; printf( "Enter two numbers: " ); scanf( "%lf%lf", &x, &y ); printf( "The arithmetic-geometric mean is %lf\n", agm(x, y) ); return 0; }
Transform the following Groovy implementation into C, maintaining the same output and logic.
double agm (double a, double g) { double an = a, gn = g while ((an-gn).abs() >= 10.0**-14) { (an, gn) = [(an+gn)*0.5, (an*gn)**0.5] } an }
#include<math.h> #include<stdio.h> #include<stdlib.h> double agm( double a, double g ) { double iota = 1.0E-16; double a1, g1; if( a*g < 0.0 ) { printf( "arithmetic-geometric mean undefined when x*y<0\n" ); exit(1); } while( fabs(a-g)>iota ) { a1 = (a + g) / 2.0; g1 = sqrt(a * g); a = a1; g = g1; } return a; } int main( void ) { double x, y; printf( "Enter two numbers: " ); scanf( "%lf%lf", &x, &y ); printf( "The arithmetic-geometric mean is %lf\n", agm(x, y) ); return 0; }
Change the programming language of this snippet from Groovy to C# without modifying what it does.
double agm (double a, double g) { double an = a, gn = g while ((an-gn).abs() >= 10.0**-14) { (an, gn) = [(an+gn)*0.5, (an*gn)**0.5] } an }
namespace RosettaCode.ArithmeticGeometricMean { using System; using System.Collections.Generic; using System.Globalization; internal static class Program { private static double ArithmeticGeometricMean(double number, double otherNumber, IEqualityComparer<double> comparer) { return comparer.Equals(number, otherNumber) ? number : ArithmeticGeometricMean( ArithmeticMean(number, otherNumber), GeometricMean(number, otherNumber), comparer); } private static double ArithmeticMean(double number, double otherNumber) { return 0.5 * (number + otherNumber); } private static double GeometricMean(double number, double otherNumber) { return Math.Sqrt(number * otherNumber); } private static void Main() { Console.WriteLine( ArithmeticGeometricMean(1, 0.5 * Math.Sqrt(2), new RelativeDifferenceComparer(1e-5)). ToString(CultureInfo.InvariantCulture)); } private class RelativeDifferenceComparer : IEqualityComparer<double> { private readonly double _maximumRelativeDifference; internal RelativeDifferenceComparer(double maximumRelativeDifference) { _maximumRelativeDifference = maximumRelativeDifference; } public bool Equals(double number, double otherNumber) { return RelativeDifference(number, otherNumber) <= _maximumRelativeDifference; } public int GetHashCode(double number) { return number.GetHashCode(); } private static double RelativeDifference(double number, double otherNumber) { return AbsoluteDifference(number, otherNumber) / Norm(number, otherNumber); } private static double AbsoluteDifference(double number, double otherNumber) { return Math.Abs(number - otherNumber); } private static double Norm(double number, double otherNumber) { return 0.5 * (Math.Abs(number) + Math.Abs(otherNumber)); } } } }
Please provide an equivalent version of this Groovy code in C#.
double agm (double a, double g) { double an = a, gn = g while ((an-gn).abs() >= 10.0**-14) { (an, gn) = [(an+gn)*0.5, (an*gn)**0.5] } an }
namespace RosettaCode.ArithmeticGeometricMean { using System; using System.Collections.Generic; using System.Globalization; internal static class Program { private static double ArithmeticGeometricMean(double number, double otherNumber, IEqualityComparer<double> comparer) { return comparer.Equals(number, otherNumber) ? number : ArithmeticGeometricMean( ArithmeticMean(number, otherNumber), GeometricMean(number, otherNumber), comparer); } private static double ArithmeticMean(double number, double otherNumber) { return 0.5 * (number + otherNumber); } private static double GeometricMean(double number, double otherNumber) { return Math.Sqrt(number * otherNumber); } private static void Main() { Console.WriteLine( ArithmeticGeometricMean(1, 0.5 * Math.Sqrt(2), new RelativeDifferenceComparer(1e-5)). ToString(CultureInfo.InvariantCulture)); } private class RelativeDifferenceComparer : IEqualityComparer<double> { private readonly double _maximumRelativeDifference; internal RelativeDifferenceComparer(double maximumRelativeDifference) { _maximumRelativeDifference = maximumRelativeDifference; } public bool Equals(double number, double otherNumber) { return RelativeDifference(number, otherNumber) <= _maximumRelativeDifference; } public int GetHashCode(double number) { return number.GetHashCode(); } private static double RelativeDifference(double number, double otherNumber) { return AbsoluteDifference(number, otherNumber) / Norm(number, otherNumber); } private static double AbsoluteDifference(double number, double otherNumber) { return Math.Abs(number - otherNumber); } private static double Norm(double number, double otherNumber) { return 0.5 * (Math.Abs(number) + Math.Abs(otherNumber)); } } } }
Generate an equivalent C++ version of this Groovy code.
double agm (double a, double g) { double an = a, gn = g while ((an-gn).abs() >= 10.0**-14) { (an, gn) = [(an+gn)*0.5, (an*gn)**0.5] } an }
#include "gmp.h" void agm (const mpf_t in1, const mpf_t in2, mpf_t out1, mpf_t out2) { mpf_add (out1, in1, in2); mpf_div_ui (out1, out1, 2); mpf_mul (out2, in1, in2); mpf_sqrt (out2, out2); } int main (void) { mpf_set_default_prec (65568); mpf_t x0, y0, resA, resB; mpf_init_set_ui (y0, 1); mpf_init_set_d (x0, 0.5); mpf_sqrt (x0, x0); mpf_init (resA); mpf_init (resB); for(int i=0; i<7; i++){ agm(x0, y0, resA, resB); agm(resA, resB, x0, y0); } gmp_printf ("%.20000Ff\n", x0); gmp_printf ("%.20000Ff\n\n", y0); return 0; }
Generate an equivalent C++ version of this Groovy code.
double agm (double a, double g) { double an = a, gn = g while ((an-gn).abs() >= 10.0**-14) { (an, gn) = [(an+gn)*0.5, (an*gn)**0.5] } an }
#include "gmp.h" void agm (const mpf_t in1, const mpf_t in2, mpf_t out1, mpf_t out2) { mpf_add (out1, in1, in2); mpf_div_ui (out1, out1, 2); mpf_mul (out2, in1, in2); mpf_sqrt (out2, out2); } int main (void) { mpf_set_default_prec (65568); mpf_t x0, y0, resA, resB; mpf_init_set_ui (y0, 1); mpf_init_set_d (x0, 0.5); mpf_sqrt (x0, x0); mpf_init (resA); mpf_init (resB); for(int i=0; i<7; i++){ agm(x0, y0, resA, resB); agm(resA, resB, x0, y0); } gmp_printf ("%.20000Ff\n", x0); gmp_printf ("%.20000Ff\n\n", y0); return 0; }
Generate a Java translation of this Groovy snippet without changing its computational steps.
double agm (double a, double g) { double an = a, gn = g while ((an-gn).abs() >= 10.0**-14) { (an, gn) = [(an+gn)*0.5, (an*gn)**0.5] } an }
public class ArithmeticGeometricMean { public static double agm(double a, double g) { double a1 = a; double g1 = g; while (Math.abs(a1 - g1) >= 1.0e-14) { double arith = (a1 + g1) / 2.0; double geom = Math.sqrt(a1 * g1); a1 = arith; g1 = geom; } return a1; } public static void main(String[] args) { System.out.println(agm(1.0, 1.0 / Math.sqrt(2.0))); } }
Write the same code in Java as shown below in Groovy.
double agm (double a, double g) { double an = a, gn = g while ((an-gn).abs() >= 10.0**-14) { (an, gn) = [(an+gn)*0.5, (an*gn)**0.5] } an }
public class ArithmeticGeometricMean { public static double agm(double a, double g) { double a1 = a; double g1 = g; while (Math.abs(a1 - g1) >= 1.0e-14) { double arith = (a1 + g1) / 2.0; double geom = Math.sqrt(a1 * g1); a1 = arith; g1 = geom; } return a1; } public static void main(String[] args) { System.out.println(agm(1.0, 1.0 / Math.sqrt(2.0))); } }
Write a version of this Groovy function in Python with identical behavior.
double agm (double a, double g) { double an = a, gn = g while ((an-gn).abs() >= 10.0**-14) { (an, gn) = [(an+gn)*0.5, (an*gn)**0.5] } an }
from math import sqrt def agm(a0, g0, tolerance=1e-10): an, gn = (a0 + g0) / 2.0, sqrt(a0 * g0) while abs(an - gn) > tolerance: an, gn = (an + gn) / 2.0, sqrt(an * gn) return an print agm(1, 1 / sqrt(2))
Convert this Groovy block to Python, preserving its control flow and logic.
double agm (double a, double g) { double an = a, gn = g while ((an-gn).abs() >= 10.0**-14) { (an, gn) = [(an+gn)*0.5, (an*gn)**0.5] } an }
from math import sqrt def agm(a0, g0, tolerance=1e-10): an, gn = (a0 + g0) / 2.0, sqrt(a0 * g0) while abs(an - gn) > tolerance: an, gn = (an + gn) / 2.0, sqrt(an * gn) return an print agm(1, 1 / sqrt(2))
Keep all operations the same but rewrite the snippet in VB.
double agm (double a, double g) { double an = a, gn = g while ((an-gn).abs() >= 10.0**-14) { (an, gn) = [(an+gn)*0.5, (an*gn)**0.5] } an }
Private Function agm(a As Double, g As Double, Optional tolerance As Double = 0.000000000000001) As Double Do While Abs(a - g) > tolerance tmp = a a = (a + g) / 2 g = Sqr(tmp * g) Debug.Print a Loop agm = a End Function Public Sub main() Debug.Print agm(1, 1 / Sqr(2)) End Sub
Port the provided Groovy code into VB while preserving the original functionality.
double agm (double a, double g) { double an = a, gn = g while ((an-gn).abs() >= 10.0**-14) { (an, gn) = [(an+gn)*0.5, (an*gn)**0.5] } an }
Private Function agm(a As Double, g As Double, Optional tolerance As Double = 0.000000000000001) As Double Do While Abs(a - g) > tolerance tmp = a a = (a + g) / 2 g = Sqr(tmp * g) Debug.Print a Loop agm = a End Function Public Sub main() Debug.Print agm(1, 1 / Sqr(2)) End Sub
Generate a Go translation of this Groovy snippet without changing its computational steps.
double agm (double a, double g) { double an = a, gn = g while ((an-gn).abs() >= 10.0**-14) { (an, gn) = [(an+gn)*0.5, (an*gn)**0.5] } an }
package main import ( "fmt" "math" ) const ε = 1e-14 func agm(a, g float64) float64 { for math.Abs(a-g) > math.Abs(a)*ε { a, g = (a+g)*.5, math.Sqrt(a*g) } return a } func main() { fmt.Println(agm(1, 1/math.Sqrt2)) }
Can you help me rewrite this code in Go instead of Groovy, keeping it the same logically?
double agm (double a, double g) { double an = a, gn = g while ((an-gn).abs() >= 10.0**-14) { (an, gn) = [(an+gn)*0.5, (an*gn)**0.5] } an }
package main import ( "fmt" "math" ) const ε = 1e-14 func agm(a, g float64) float64 { for math.Abs(a-g) > math.Abs(a)*ε { a, g = (a+g)*.5, math.Sqrt(a*g) } return a } func main() { fmt.Println(agm(1, 1/math.Sqrt2)) }
Keep all operations the same but rewrite the snippet in C.
agm :: (Floating a) => a -> a -> ((a, a) -> Bool) -> a agm a g eq = snd $ until eq step (a, g) where step (a, g) = ((a + g) / 2, sqrt (a * g)) relDiff :: (Fractional a) => (a, a) -> a relDiff (x, y) = let n = abs (x - y) d = (abs x + abs y) / 2 in n / d main :: IO () main = do let equal = (< 0.000000001) . relDiff print $ agm 1 (1 / sqrt 2) equal
#include<math.h> #include<stdio.h> #include<stdlib.h> double agm( double a, double g ) { double iota = 1.0E-16; double a1, g1; if( a*g < 0.0 ) { printf( "arithmetic-geometric mean undefined when x*y<0\n" ); exit(1); } while( fabs(a-g)>iota ) { a1 = (a + g) / 2.0; g1 = sqrt(a * g); a = a1; g = g1; } return a; } int main( void ) { double x, y; printf( "Enter two numbers: " ); scanf( "%lf%lf", &x, &y ); printf( "The arithmetic-geometric mean is %lf\n", agm(x, y) ); return 0; }
Convert this Haskell block to C, preserving its control flow and logic.
agm :: (Floating a) => a -> a -> ((a, a) -> Bool) -> a agm a g eq = snd $ until eq step (a, g) where step (a, g) = ((a + g) / 2, sqrt (a * g)) relDiff :: (Fractional a) => (a, a) -> a relDiff (x, y) = let n = abs (x - y) d = (abs x + abs y) / 2 in n / d main :: IO () main = do let equal = (< 0.000000001) . relDiff print $ agm 1 (1 / sqrt 2) equal
#include<math.h> #include<stdio.h> #include<stdlib.h> double agm( double a, double g ) { double iota = 1.0E-16; double a1, g1; if( a*g < 0.0 ) { printf( "arithmetic-geometric mean undefined when x*y<0\n" ); exit(1); } while( fabs(a-g)>iota ) { a1 = (a + g) / 2.0; g1 = sqrt(a * g); a = a1; g = g1; } return a; } int main( void ) { double x, y; printf( "Enter two numbers: " ); scanf( "%lf%lf", &x, &y ); printf( "The arithmetic-geometric mean is %lf\n", agm(x, y) ); return 0; }
Write the same algorithm in C# as shown in this Haskell implementation.
agm :: (Floating a) => a -> a -> ((a, a) -> Bool) -> a agm a g eq = snd $ until eq step (a, g) where step (a, g) = ((a + g) / 2, sqrt (a * g)) relDiff :: (Fractional a) => (a, a) -> a relDiff (x, y) = let n = abs (x - y) d = (abs x + abs y) / 2 in n / d main :: IO () main = do let equal = (< 0.000000001) . relDiff print $ agm 1 (1 / sqrt 2) equal
namespace RosettaCode.ArithmeticGeometricMean { using System; using System.Collections.Generic; using System.Globalization; internal static class Program { private static double ArithmeticGeometricMean(double number, double otherNumber, IEqualityComparer<double> comparer) { return comparer.Equals(number, otherNumber) ? number : ArithmeticGeometricMean( ArithmeticMean(number, otherNumber), GeometricMean(number, otherNumber), comparer); } private static double ArithmeticMean(double number, double otherNumber) { return 0.5 * (number + otherNumber); } private static double GeometricMean(double number, double otherNumber) { return Math.Sqrt(number * otherNumber); } private static void Main() { Console.WriteLine( ArithmeticGeometricMean(1, 0.5 * Math.Sqrt(2), new RelativeDifferenceComparer(1e-5)). ToString(CultureInfo.InvariantCulture)); } private class RelativeDifferenceComparer : IEqualityComparer<double> { private readonly double _maximumRelativeDifference; internal RelativeDifferenceComparer(double maximumRelativeDifference) { _maximumRelativeDifference = maximumRelativeDifference; } public bool Equals(double number, double otherNumber) { return RelativeDifference(number, otherNumber) <= _maximumRelativeDifference; } public int GetHashCode(double number) { return number.GetHashCode(); } private static double RelativeDifference(double number, double otherNumber) { return AbsoluteDifference(number, otherNumber) / Norm(number, otherNumber); } private static double AbsoluteDifference(double number, double otherNumber) { return Math.Abs(number - otherNumber); } private static double Norm(double number, double otherNumber) { return 0.5 * (Math.Abs(number) + Math.Abs(otherNumber)); } } } }
Convert the following code from Haskell to C#, ensuring the logic remains intact.
agm :: (Floating a) => a -> a -> ((a, a) -> Bool) -> a agm a g eq = snd $ until eq step (a, g) where step (a, g) = ((a + g) / 2, sqrt (a * g)) relDiff :: (Fractional a) => (a, a) -> a relDiff (x, y) = let n = abs (x - y) d = (abs x + abs y) / 2 in n / d main :: IO () main = do let equal = (< 0.000000001) . relDiff print $ agm 1 (1 / sqrt 2) equal
namespace RosettaCode.ArithmeticGeometricMean { using System; using System.Collections.Generic; using System.Globalization; internal static class Program { private static double ArithmeticGeometricMean(double number, double otherNumber, IEqualityComparer<double> comparer) { return comparer.Equals(number, otherNumber) ? number : ArithmeticGeometricMean( ArithmeticMean(number, otherNumber), GeometricMean(number, otherNumber), comparer); } private static double ArithmeticMean(double number, double otherNumber) { return 0.5 * (number + otherNumber); } private static double GeometricMean(double number, double otherNumber) { return Math.Sqrt(number * otherNumber); } private static void Main() { Console.WriteLine( ArithmeticGeometricMean(1, 0.5 * Math.Sqrt(2), new RelativeDifferenceComparer(1e-5)). ToString(CultureInfo.InvariantCulture)); } private class RelativeDifferenceComparer : IEqualityComparer<double> { private readonly double _maximumRelativeDifference; internal RelativeDifferenceComparer(double maximumRelativeDifference) { _maximumRelativeDifference = maximumRelativeDifference; } public bool Equals(double number, double otherNumber) { return RelativeDifference(number, otherNumber) <= _maximumRelativeDifference; } public int GetHashCode(double number) { return number.GetHashCode(); } private static double RelativeDifference(double number, double otherNumber) { return AbsoluteDifference(number, otherNumber) / Norm(number, otherNumber); } private static double AbsoluteDifference(double number, double otherNumber) { return Math.Abs(number - otherNumber); } private static double Norm(double number, double otherNumber) { return 0.5 * (Math.Abs(number) + Math.Abs(otherNumber)); } } } }
Preserve the algorithm and functionality while converting the code from Haskell to C++.
agm :: (Floating a) => a -> a -> ((a, a) -> Bool) -> a agm a g eq = snd $ until eq step (a, g) where step (a, g) = ((a + g) / 2, sqrt (a * g)) relDiff :: (Fractional a) => (a, a) -> a relDiff (x, y) = let n = abs (x - y) d = (abs x + abs y) / 2 in n / d main :: IO () main = do let equal = (< 0.000000001) . relDiff print $ agm 1 (1 / sqrt 2) equal
#include "gmp.h" void agm (const mpf_t in1, const mpf_t in2, mpf_t out1, mpf_t out2) { mpf_add (out1, in1, in2); mpf_div_ui (out1, out1, 2); mpf_mul (out2, in1, in2); mpf_sqrt (out2, out2); } int main (void) { mpf_set_default_prec (65568); mpf_t x0, y0, resA, resB; mpf_init_set_ui (y0, 1); mpf_init_set_d (x0, 0.5); mpf_sqrt (x0, x0); mpf_init (resA); mpf_init (resB); for(int i=0; i<7; i++){ agm(x0, y0, resA, resB); agm(resA, resB, x0, y0); } gmp_printf ("%.20000Ff\n", x0); gmp_printf ("%.20000Ff\n\n", y0); return 0; }
Translate this program into C++ but keep the logic exactly as in Haskell.
agm :: (Floating a) => a -> a -> ((a, a) -> Bool) -> a agm a g eq = snd $ until eq step (a, g) where step (a, g) = ((a + g) / 2, sqrt (a * g)) relDiff :: (Fractional a) => (a, a) -> a relDiff (x, y) = let n = abs (x - y) d = (abs x + abs y) / 2 in n / d main :: IO () main = do let equal = (< 0.000000001) . relDiff print $ agm 1 (1 / sqrt 2) equal
#include "gmp.h" void agm (const mpf_t in1, const mpf_t in2, mpf_t out1, mpf_t out2) { mpf_add (out1, in1, in2); mpf_div_ui (out1, out1, 2); mpf_mul (out2, in1, in2); mpf_sqrt (out2, out2); } int main (void) { mpf_set_default_prec (65568); mpf_t x0, y0, resA, resB; mpf_init_set_ui (y0, 1); mpf_init_set_d (x0, 0.5); mpf_sqrt (x0, x0); mpf_init (resA); mpf_init (resB); for(int i=0; i<7; i++){ agm(x0, y0, resA, resB); agm(resA, resB, x0, y0); } gmp_printf ("%.20000Ff\n", x0); gmp_printf ("%.20000Ff\n\n", y0); return 0; }
Translate the given Haskell code snippet into Java without altering its behavior.
agm :: (Floating a) => a -> a -> ((a, a) -> Bool) -> a agm a g eq = snd $ until eq step (a, g) where step (a, g) = ((a + g) / 2, sqrt (a * g)) relDiff :: (Fractional a) => (a, a) -> a relDiff (x, y) = let n = abs (x - y) d = (abs x + abs y) / 2 in n / d main :: IO () main = do let equal = (< 0.000000001) . relDiff print $ agm 1 (1 / sqrt 2) equal
public class ArithmeticGeometricMean { public static double agm(double a, double g) { double a1 = a; double g1 = g; while (Math.abs(a1 - g1) >= 1.0e-14) { double arith = (a1 + g1) / 2.0; double geom = Math.sqrt(a1 * g1); a1 = arith; g1 = geom; } return a1; } public static void main(String[] args) { System.out.println(agm(1.0, 1.0 / Math.sqrt(2.0))); } }
Transform the following Haskell implementation into Java, maintaining the same output and logic.
agm :: (Floating a) => a -> a -> ((a, a) -> Bool) -> a agm a g eq = snd $ until eq step (a, g) where step (a, g) = ((a + g) / 2, sqrt (a * g)) relDiff :: (Fractional a) => (a, a) -> a relDiff (x, y) = let n = abs (x - y) d = (abs x + abs y) / 2 in n / d main :: IO () main = do let equal = (< 0.000000001) . relDiff print $ agm 1 (1 / sqrt 2) equal
public class ArithmeticGeometricMean { public static double agm(double a, double g) { double a1 = a; double g1 = g; while (Math.abs(a1 - g1) >= 1.0e-14) { double arith = (a1 + g1) / 2.0; double geom = Math.sqrt(a1 * g1); a1 = arith; g1 = geom; } return a1; } public static void main(String[] args) { System.out.println(agm(1.0, 1.0 / Math.sqrt(2.0))); } }
Keep all operations the same but rewrite the snippet in Python.
agm :: (Floating a) => a -> a -> ((a, a) -> Bool) -> a agm a g eq = snd $ until eq step (a, g) where step (a, g) = ((a + g) / 2, sqrt (a * g)) relDiff :: (Fractional a) => (a, a) -> a relDiff (x, y) = let n = abs (x - y) d = (abs x + abs y) / 2 in n / d main :: IO () main = do let equal = (< 0.000000001) . relDiff print $ agm 1 (1 / sqrt 2) equal
from math import sqrt def agm(a0, g0, tolerance=1e-10): an, gn = (a0 + g0) / 2.0, sqrt(a0 * g0) while abs(an - gn) > tolerance: an, gn = (an + gn) / 2.0, sqrt(an * gn) return an print agm(1, 1 / sqrt(2))
Preserve the algorithm and functionality while converting the code from Haskell to Python.
agm :: (Floating a) => a -> a -> ((a, a) -> Bool) -> a agm a g eq = snd $ until eq step (a, g) where step (a, g) = ((a + g) / 2, sqrt (a * g)) relDiff :: (Fractional a) => (a, a) -> a relDiff (x, y) = let n = abs (x - y) d = (abs x + abs y) / 2 in n / d main :: IO () main = do let equal = (< 0.000000001) . relDiff print $ agm 1 (1 / sqrt 2) equal
from math import sqrt def agm(a0, g0, tolerance=1e-10): an, gn = (a0 + g0) / 2.0, sqrt(a0 * g0) while abs(an - gn) > tolerance: an, gn = (an + gn) / 2.0, sqrt(an * gn) return an print agm(1, 1 / sqrt(2))
Generate an equivalent VB version of this Haskell code.
agm :: (Floating a) => a -> a -> ((a, a) -> Bool) -> a agm a g eq = snd $ until eq step (a, g) where step (a, g) = ((a + g) / 2, sqrt (a * g)) relDiff :: (Fractional a) => (a, a) -> a relDiff (x, y) = let n = abs (x - y) d = (abs x + abs y) / 2 in n / d main :: IO () main = do let equal = (< 0.000000001) . relDiff print $ agm 1 (1 / sqrt 2) equal
Private Function agm(a As Double, g As Double, Optional tolerance As Double = 0.000000000000001) As Double Do While Abs(a - g) > tolerance tmp = a a = (a + g) / 2 g = Sqr(tmp * g) Debug.Print a Loop agm = a End Function Public Sub main() Debug.Print agm(1, 1 / Sqr(2)) End Sub
Maintain the same structure and functionality when rewriting this code in VB.
agm :: (Floating a) => a -> a -> ((a, a) -> Bool) -> a agm a g eq = snd $ until eq step (a, g) where step (a, g) = ((a + g) / 2, sqrt (a * g)) relDiff :: (Fractional a) => (a, a) -> a relDiff (x, y) = let n = abs (x - y) d = (abs x + abs y) / 2 in n / d main :: IO () main = do let equal = (< 0.000000001) . relDiff print $ agm 1 (1 / sqrt 2) equal
Private Function agm(a As Double, g As Double, Optional tolerance As Double = 0.000000000000001) As Double Do While Abs(a - g) > tolerance tmp = a a = (a + g) / 2 g = Sqr(tmp * g) Debug.Print a Loop agm = a End Function Public Sub main() Debug.Print agm(1, 1 / Sqr(2)) End Sub
Produce a language-to-language conversion: from Haskell to Go, same semantics.
agm :: (Floating a) => a -> a -> ((a, a) -> Bool) -> a agm a g eq = snd $ until eq step (a, g) where step (a, g) = ((a + g) / 2, sqrt (a * g)) relDiff :: (Fractional a) => (a, a) -> a relDiff (x, y) = let n = abs (x - y) d = (abs x + abs y) / 2 in n / d main :: IO () main = do let equal = (< 0.000000001) . relDiff print $ agm 1 (1 / sqrt 2) equal
package main import ( "fmt" "math" ) const ε = 1e-14 func agm(a, g float64) float64 { for math.Abs(a-g) > math.Abs(a)*ε { a, g = (a+g)*.5, math.Sqrt(a*g) } return a } func main() { fmt.Println(agm(1, 1/math.Sqrt2)) }
Can you help me rewrite this code in Go instead of Haskell, keeping it the same logically?
agm :: (Floating a) => a -> a -> ((a, a) -> Bool) -> a agm a g eq = snd $ until eq step (a, g) where step (a, g) = ((a + g) / 2, sqrt (a * g)) relDiff :: (Fractional a) => (a, a) -> a relDiff (x, y) = let n = abs (x - y) d = (abs x + abs y) / 2 in n / d main :: IO () main = do let equal = (< 0.000000001) . relDiff print $ agm 1 (1 / sqrt 2) equal
package main import ( "fmt" "math" ) const ε = 1e-14 func agm(a, g float64) float64 { for math.Abs(a-g) > math.Abs(a)*ε { a, g = (a+g)*.5, math.Sqrt(a*g) } return a } func main() { fmt.Println(agm(1, 1/math.Sqrt2)) }
Rewrite this program in C while keeping its functionality equivalent to the J version.
mean=: +/ % # (mean , */ %:~ #)^:_] 1,%%:2 0.8472130847939792 0.8472130847939791
#include<math.h> #include<stdio.h> #include<stdlib.h> double agm( double a, double g ) { double iota = 1.0E-16; double a1, g1; if( a*g < 0.0 ) { printf( "arithmetic-geometric mean undefined when x*y<0\n" ); exit(1); } while( fabs(a-g)>iota ) { a1 = (a + g) / 2.0; g1 = sqrt(a * g); a = a1; g = g1; } return a; } int main( void ) { double x, y; printf( "Enter two numbers: " ); scanf( "%lf%lf", &x, &y ); printf( "The arithmetic-geometric mean is %lf\n", agm(x, y) ); return 0; }
Maintain the same structure and functionality when rewriting this code in C.
mean=: +/ % # (mean , */ %:~ #)^:_] 1,%%:2 0.8472130847939792 0.8472130847939791
#include<math.h> #include<stdio.h> #include<stdlib.h> double agm( double a, double g ) { double iota = 1.0E-16; double a1, g1; if( a*g < 0.0 ) { printf( "arithmetic-geometric mean undefined when x*y<0\n" ); exit(1); } while( fabs(a-g)>iota ) { a1 = (a + g) / 2.0; g1 = sqrt(a * g); a = a1; g = g1; } return a; } int main( void ) { double x, y; printf( "Enter two numbers: " ); scanf( "%lf%lf", &x, &y ); printf( "The arithmetic-geometric mean is %lf\n", agm(x, y) ); return 0; }
Convert this J snippet to C# and keep its semantics consistent.
mean=: +/ % # (mean , */ %:~ #)^:_] 1,%%:2 0.8472130847939792 0.8472130847939791
namespace RosettaCode.ArithmeticGeometricMean { using System; using System.Collections.Generic; using System.Globalization; internal static class Program { private static double ArithmeticGeometricMean(double number, double otherNumber, IEqualityComparer<double> comparer) { return comparer.Equals(number, otherNumber) ? number : ArithmeticGeometricMean( ArithmeticMean(number, otherNumber), GeometricMean(number, otherNumber), comparer); } private static double ArithmeticMean(double number, double otherNumber) { return 0.5 * (number + otherNumber); } private static double GeometricMean(double number, double otherNumber) { return Math.Sqrt(number * otherNumber); } private static void Main() { Console.WriteLine( ArithmeticGeometricMean(1, 0.5 * Math.Sqrt(2), new RelativeDifferenceComparer(1e-5)). ToString(CultureInfo.InvariantCulture)); } private class RelativeDifferenceComparer : IEqualityComparer<double> { private readonly double _maximumRelativeDifference; internal RelativeDifferenceComparer(double maximumRelativeDifference) { _maximumRelativeDifference = maximumRelativeDifference; } public bool Equals(double number, double otherNumber) { return RelativeDifference(number, otherNumber) <= _maximumRelativeDifference; } public int GetHashCode(double number) { return number.GetHashCode(); } private static double RelativeDifference(double number, double otherNumber) { return AbsoluteDifference(number, otherNumber) / Norm(number, otherNumber); } private static double AbsoluteDifference(double number, double otherNumber) { return Math.Abs(number - otherNumber); } private static double Norm(double number, double otherNumber) { return 0.5 * (Math.Abs(number) + Math.Abs(otherNumber)); } } } }
Preserve the algorithm and functionality while converting the code from J to C#.
mean=: +/ % # (mean , */ %:~ #)^:_] 1,%%:2 0.8472130847939792 0.8472130847939791
namespace RosettaCode.ArithmeticGeometricMean { using System; using System.Collections.Generic; using System.Globalization; internal static class Program { private static double ArithmeticGeometricMean(double number, double otherNumber, IEqualityComparer<double> comparer) { return comparer.Equals(number, otherNumber) ? number : ArithmeticGeometricMean( ArithmeticMean(number, otherNumber), GeometricMean(number, otherNumber), comparer); } private static double ArithmeticMean(double number, double otherNumber) { return 0.5 * (number + otherNumber); } private static double GeometricMean(double number, double otherNumber) { return Math.Sqrt(number * otherNumber); } private static void Main() { Console.WriteLine( ArithmeticGeometricMean(1, 0.5 * Math.Sqrt(2), new RelativeDifferenceComparer(1e-5)). ToString(CultureInfo.InvariantCulture)); } private class RelativeDifferenceComparer : IEqualityComparer<double> { private readonly double _maximumRelativeDifference; internal RelativeDifferenceComparer(double maximumRelativeDifference) { _maximumRelativeDifference = maximumRelativeDifference; } public bool Equals(double number, double otherNumber) { return RelativeDifference(number, otherNumber) <= _maximumRelativeDifference; } public int GetHashCode(double number) { return number.GetHashCode(); } private static double RelativeDifference(double number, double otherNumber) { return AbsoluteDifference(number, otherNumber) / Norm(number, otherNumber); } private static double AbsoluteDifference(double number, double otherNumber) { return Math.Abs(number - otherNumber); } private static double Norm(double number, double otherNumber) { return 0.5 * (Math.Abs(number) + Math.Abs(otherNumber)); } } } }
Write the same code in C++ as shown below in J.
mean=: +/ % # (mean , */ %:~ #)^:_] 1,%%:2 0.8472130847939792 0.8472130847939791
#include "gmp.h" void agm (const mpf_t in1, const mpf_t in2, mpf_t out1, mpf_t out2) { mpf_add (out1, in1, in2); mpf_div_ui (out1, out1, 2); mpf_mul (out2, in1, in2); mpf_sqrt (out2, out2); } int main (void) { mpf_set_default_prec (65568); mpf_t x0, y0, resA, resB; mpf_init_set_ui (y0, 1); mpf_init_set_d (x0, 0.5); mpf_sqrt (x0, x0); mpf_init (resA); mpf_init (resB); for(int i=0; i<7; i++){ agm(x0, y0, resA, resB); agm(resA, resB, x0, y0); } gmp_printf ("%.20000Ff\n", x0); gmp_printf ("%.20000Ff\n\n", y0); return 0; }
Translate this program into C++ but keep the logic exactly as in J.
mean=: +/ % # (mean , */ %:~ #)^:_] 1,%%:2 0.8472130847939792 0.8472130847939791
#include "gmp.h" void agm (const mpf_t in1, const mpf_t in2, mpf_t out1, mpf_t out2) { mpf_add (out1, in1, in2); mpf_div_ui (out1, out1, 2); mpf_mul (out2, in1, in2); mpf_sqrt (out2, out2); } int main (void) { mpf_set_default_prec (65568); mpf_t x0, y0, resA, resB; mpf_init_set_ui (y0, 1); mpf_init_set_d (x0, 0.5); mpf_sqrt (x0, x0); mpf_init (resA); mpf_init (resB); for(int i=0; i<7; i++){ agm(x0, y0, resA, resB); agm(resA, resB, x0, y0); } gmp_printf ("%.20000Ff\n", x0); gmp_printf ("%.20000Ff\n\n", y0); return 0; }
Preserve the algorithm and functionality while converting the code from J to Java.
mean=: +/ % # (mean , */ %:~ #)^:_] 1,%%:2 0.8472130847939792 0.8472130847939791
public class ArithmeticGeometricMean { public static double agm(double a, double g) { double a1 = a; double g1 = g; while (Math.abs(a1 - g1) >= 1.0e-14) { double arith = (a1 + g1) / 2.0; double geom = Math.sqrt(a1 * g1); a1 = arith; g1 = geom; } return a1; } public static void main(String[] args) { System.out.println(agm(1.0, 1.0 / Math.sqrt(2.0))); } }
Can you help me rewrite this code in Java instead of J, keeping it the same logically?
mean=: +/ % # (mean , */ %:~ #)^:_] 1,%%:2 0.8472130847939792 0.8472130847939791
public class ArithmeticGeometricMean { public static double agm(double a, double g) { double a1 = a; double g1 = g; while (Math.abs(a1 - g1) >= 1.0e-14) { double arith = (a1 + g1) / 2.0; double geom = Math.sqrt(a1 * g1); a1 = arith; g1 = geom; } return a1; } public static void main(String[] args) { System.out.println(agm(1.0, 1.0 / Math.sqrt(2.0))); } }
Transform the following J implementation into Python, maintaining the same output and logic.
mean=: +/ % # (mean , */ %:~ #)^:_] 1,%%:2 0.8472130847939792 0.8472130847939791
from math import sqrt def agm(a0, g0, tolerance=1e-10): an, gn = (a0 + g0) / 2.0, sqrt(a0 * g0) while abs(an - gn) > tolerance: an, gn = (an + gn) / 2.0, sqrt(an * gn) return an print agm(1, 1 / sqrt(2))
Write the same algorithm in Python as shown in this J implementation.
mean=: +/ % # (mean , */ %:~ #)^:_] 1,%%:2 0.8472130847939792 0.8472130847939791
from math import sqrt def agm(a0, g0, tolerance=1e-10): an, gn = (a0 + g0) / 2.0, sqrt(a0 * g0) while abs(an - gn) > tolerance: an, gn = (an + gn) / 2.0, sqrt(an * gn) return an print agm(1, 1 / sqrt(2))