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Rewrite this program in C while keeping its functionality equivalent to the Scala version.
fun agm(a: Double, g: Double): Double { var aa = a var gg = g var ta: Double val epsilon = 1.0e-16 while (true) { ta = (aa + gg) / 2.0 if (Math.abs(aa - ta) <= epsilon) return ta gg = Math.sqrt(aa * gg) aa = ta } } fun main(args: Array<String>) { println(agm(1.0, 1.0 / Math.sqrt(2.0))) }
#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; }
Port the following code from Scala to C# with equivalent syntax and logic.
fun agm(a: Double, g: Double): Double { var aa = a var gg = g var ta: Double val epsilon = 1.0e-16 while (true) { ta = (aa + gg) / 2.0 if (Math.abs(aa - ta) <= epsilon) return ta gg = Math.sqrt(aa * gg) aa = ta } } fun main(args: Array<String>) { println(agm(1.0, 1.0 / Math.sqrt(2.0))) }
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)); } } } }
Change the programming language of this snippet from Scala to C# without modifying what it does.
fun agm(a: Double, g: Double): Double { var aa = a var gg = g var ta: Double val epsilon = 1.0e-16 while (true) { ta = (aa + gg) / 2.0 if (Math.abs(aa - ta) <= epsilon) return ta gg = Math.sqrt(aa * gg) aa = ta } } fun main(args: Array<String>) { println(agm(1.0, 1.0 / Math.sqrt(2.0))) }
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 Scala code snippet into C++ without altering its behavior.
fun agm(a: Double, g: Double): Double { var aa = a var gg = g var ta: Double val epsilon = 1.0e-16 while (true) { ta = (aa + gg) / 2.0 if (Math.abs(aa - ta) <= epsilon) return ta gg = Math.sqrt(aa * gg) aa = ta } } fun main(args: Array<String>) { println(agm(1.0, 1.0 / Math.sqrt(2.0))) }
#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; }
Please provide an equivalent version of this Scala code in C++.
fun agm(a: Double, g: Double): Double { var aa = a var gg = g var ta: Double val epsilon = 1.0e-16 while (true) { ta = (aa + gg) / 2.0 if (Math.abs(aa - ta) <= epsilon) return ta gg = Math.sqrt(aa * gg) aa = ta } } fun main(args: Array<String>) { println(agm(1.0, 1.0 / Math.sqrt(2.0))) }
#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 the same code in Java as shown below in Scala.
fun agm(a: Double, g: Double): Double { var aa = a var gg = g var ta: Double val epsilon = 1.0e-16 while (true) { ta = (aa + gg) / 2.0 if (Math.abs(aa - ta) <= epsilon) return ta gg = Math.sqrt(aa * gg) aa = ta } } fun main(args: Array<String>) { println(agm(1.0, 1.0 / Math.sqrt(2.0))) }
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 Scala.
fun agm(a: Double, g: Double): Double { var aa = a var gg = g var ta: Double val epsilon = 1.0e-16 while (true) { ta = (aa + gg) / 2.0 if (Math.abs(aa - ta) <= epsilon) return ta gg = Math.sqrt(aa * gg) aa = ta } } fun main(args: Array<String>) { println(agm(1.0, 1.0 / Math.sqrt(2.0))) }
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))); } }
Port the following code from Scala to Python with equivalent syntax and logic.
fun agm(a: Double, g: Double): Double { var aa = a var gg = g var ta: Double val epsilon = 1.0e-16 while (true) { ta = (aa + gg) / 2.0 if (Math.abs(aa - ta) <= epsilon) return ta gg = Math.sqrt(aa * gg) aa = ta } } fun main(args: Array<String>) { println(agm(1.0, 1.0 / Math.sqrt(2.0))) }
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 code in Python as shown below in Scala.
fun agm(a: Double, g: Double): Double { var aa = a var gg = g var ta: Double val epsilon = 1.0e-16 while (true) { ta = (aa + gg) / 2.0 if (Math.abs(aa - ta) <= epsilon) return ta gg = Math.sqrt(aa * gg) aa = ta } } fun main(args: Array<String>) { println(agm(1.0, 1.0 / Math.sqrt(2.0))) }
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 Scala to VB without modifying what it does.
fun agm(a: Double, g: Double): Double { var aa = a var gg = g var ta: Double val epsilon = 1.0e-16 while (true) { ta = (aa + gg) / 2.0 if (Math.abs(aa - ta) <= epsilon) return ta gg = Math.sqrt(aa * gg) aa = ta } } fun main(args: Array<String>) { println(agm(1.0, 1.0 / Math.sqrt(2.0))) }
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
Translate this program into VB but keep the logic exactly as in Scala.
fun agm(a: Double, g: Double): Double { var aa = a var gg = g var ta: Double val epsilon = 1.0e-16 while (true) { ta = (aa + gg) / 2.0 if (Math.abs(aa - ta) <= epsilon) return ta gg = Math.sqrt(aa * gg) aa = ta } } fun main(args: Array<String>) { println(agm(1.0, 1.0 / Math.sqrt(2.0))) }
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 Scala snippet to Go and keep its semantics consistent.
fun agm(a: Double, g: Double): Double { var aa = a var gg = g var ta: Double val epsilon = 1.0e-16 while (true) { ta = (aa + gg) / 2.0 if (Math.abs(aa - ta) <= epsilon) return ta gg = Math.sqrt(aa * gg) aa = ta } } fun main(args: Array<String>) { println(agm(1.0, 1.0 / Math.sqrt(2.0))) }
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)) }
Port the provided Scala code into Go while preserving the original functionality.
fun agm(a: Double, g: Double): Double { var aa = a var gg = g var ta: Double val epsilon = 1.0e-16 while (true) { ta = (aa + gg) / 2.0 if (Math.abs(aa - ta) <= epsilon) return ta gg = Math.sqrt(aa * gg) aa = ta } } fun main(args: Array<String>) { println(agm(1.0, 1.0 / Math.sqrt(2.0))) }
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 Swift, keeping it the same logically?
import Darwin enum AGRError : Error { case undefined } func agm(_ a: Double, _ g: Double, _ iota: Double = 1e-8) throws -> Double { var a = a var g = g var a1: Double = 0 var g1: Double = 0 guard a * g >= 0 else { throw AGRError.undefined } while abs(a - g) > iota { a1 = (a + g) / 2 g1 = sqrt(a * g) a = a1 g = g1 } return a } do { try print(agm(1, 1 / sqrt(2))) } catch { print("agr is undefined when a * g < 0") }
#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 Swift snippet to C and keep its semantics consistent.
import Darwin enum AGRError : Error { case undefined } func agm(_ a: Double, _ g: Double, _ iota: Double = 1e-8) throws -> Double { var a = a var g = g var a1: Double = 0 var g1: Double = 0 guard a * g >= 0 else { throw AGRError.undefined } while abs(a - g) > iota { a1 = (a + g) / 2 g1 = sqrt(a * g) a = a1 g = g1 } return a } do { try print(agm(1, 1 / sqrt(2))) } catch { print("agr is undefined when a * g < 0") }
#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; }
Port the following code from Swift to C# with equivalent syntax and logic.
import Darwin enum AGRError : Error { case undefined } func agm(_ a: Double, _ g: Double, _ iota: Double = 1e-8) throws -> Double { var a = a var g = g var a1: Double = 0 var g1: Double = 0 guard a * g >= 0 else { throw AGRError.undefined } while abs(a - g) > iota { a1 = (a + g) / 2 g1 = sqrt(a * g) a = a1 g = g1 } return a } do { try print(agm(1, 1 / sqrt(2))) } catch { print("agr is undefined when a * g < 0") }
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)); } } } }
Produce a language-to-language conversion: from Swift to C#, same semantics.
import Darwin enum AGRError : Error { case undefined } func agm(_ a: Double, _ g: Double, _ iota: Double = 1e-8) throws -> Double { var a = a var g = g var a1: Double = 0 var g1: Double = 0 guard a * g >= 0 else { throw AGRError.undefined } while abs(a - g) > iota { a1 = (a + g) / 2 g1 = sqrt(a * g) a = a1 g = g1 } return a } do { try print(agm(1, 1 / sqrt(2))) } catch { print("agr is undefined when a * g < 0") }
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)); } } } }
Change the following Swift code into C++ without altering its purpose.
import Darwin enum AGRError : Error { case undefined } func agm(_ a: Double, _ g: Double, _ iota: Double = 1e-8) throws -> Double { var a = a var g = g var a1: Double = 0 var g1: Double = 0 guard a * g >= 0 else { throw AGRError.undefined } while abs(a - g) > iota { a1 = (a + g) / 2 g1 = sqrt(a * g) a = a1 g = g1 } return a } do { try print(agm(1, 1 / sqrt(2))) } catch { print("agr is undefined when a * g < 0") }
#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 the same algorithm in C++ as shown in this Swift implementation.
import Darwin enum AGRError : Error { case undefined } func agm(_ a: Double, _ g: Double, _ iota: Double = 1e-8) throws -> Double { var a = a var g = g var a1: Double = 0 var g1: Double = 0 guard a * g >= 0 else { throw AGRError.undefined } while abs(a - g) > iota { a1 = (a + g) / 2 g1 = sqrt(a * g) a = a1 g = g1 } return a } do { try print(agm(1, 1 / sqrt(2))) } catch { print("agr is undefined when a * g < 0") }
#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 the same algorithm in Java as shown in this Swift implementation.
import Darwin enum AGRError : Error { case undefined } func agm(_ a: Double, _ g: Double, _ iota: Double = 1e-8) throws -> Double { var a = a var g = g var a1: Double = 0 var g1: Double = 0 guard a * g >= 0 else { throw AGRError.undefined } while abs(a - g) > iota { a1 = (a + g) / 2 g1 = sqrt(a * g) a = a1 g = g1 } return a } do { try print(agm(1, 1 / sqrt(2))) } catch { print("agr is undefined when a * g < 0") }
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 Swift.
import Darwin enum AGRError : Error { case undefined } func agm(_ a: Double, _ g: Double, _ iota: Double = 1e-8) throws -> Double { var a = a var g = g var a1: Double = 0 var g1: Double = 0 guard a * g >= 0 else { throw AGRError.undefined } while abs(a - g) > iota { a1 = (a + g) / 2 g1 = sqrt(a * g) a = a1 g = g1 } return a } do { try print(agm(1, 1 / sqrt(2))) } catch { print("agr is undefined when a * g < 0") }
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 algorithm in Python as shown in this Swift implementation.
import Darwin enum AGRError : Error { case undefined } func agm(_ a: Double, _ g: Double, _ iota: Double = 1e-8) throws -> Double { var a = a var g = g var a1: Double = 0 var g1: Double = 0 guard a * g >= 0 else { throw AGRError.undefined } while abs(a - g) > iota { a1 = (a + g) / 2 g1 = sqrt(a * g) a = a1 g = g1 } return a } do { try print(agm(1, 1 / sqrt(2))) } catch { print("agr is undefined when a * g < 0") }
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 Swift code into Python without altering its purpose.
import Darwin enum AGRError : Error { case undefined } func agm(_ a: Double, _ g: Double, _ iota: Double = 1e-8) throws -> Double { var a = a var g = g var a1: Double = 0 var g1: Double = 0 guard a * g >= 0 else { throw AGRError.undefined } while abs(a - g) > iota { a1 = (a + g) / 2 g1 = sqrt(a * g) a = a1 g = g1 } return a } do { try print(agm(1, 1 / sqrt(2))) } catch { print("agr is undefined when a * g < 0") }
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))
Transform the following Swift implementation into VB, maintaining the same output and logic.
import Darwin enum AGRError : Error { case undefined } func agm(_ a: Double, _ g: Double, _ iota: Double = 1e-8) throws -> Double { var a = a var g = g var a1: Double = 0 var g1: Double = 0 guard a * g >= 0 else { throw AGRError.undefined } while abs(a - g) > iota { a1 = (a + g) / 2 g1 = sqrt(a * g) a = a1 g = g1 } return a } do { try print(agm(1, 1 / sqrt(2))) } catch { print("agr is undefined when a * g < 0") }
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 Swift code into VB while preserving the original functionality.
import Darwin enum AGRError : Error { case undefined } func agm(_ a: Double, _ g: Double, _ iota: Double = 1e-8) throws -> Double { var a = a var g = g var a1: Double = 0 var g1: Double = 0 guard a * g >= 0 else { throw AGRError.undefined } while abs(a - g) > iota { a1 = (a + g) / 2 g1 = sqrt(a * g) a = a1 g = g1 } return a } do { try print(agm(1, 1 / sqrt(2))) } catch { print("agr is undefined when a * g < 0") }
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
Translate this program into Go but keep the logic exactly as in Swift.
import Darwin enum AGRError : Error { case undefined } func agm(_ a: Double, _ g: Double, _ iota: Double = 1e-8) throws -> Double { var a = a var g = g var a1: Double = 0 var g1: Double = 0 guard a * g >= 0 else { throw AGRError.undefined } while abs(a - g) > iota { a1 = (a + g) / 2 g1 = sqrt(a * g) a = a1 g = g1 } return a } do { try print(agm(1, 1 / sqrt(2))) } catch { print("agr is undefined when a * g < 0") }
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 Go while keeping its functionality equivalent to the Swift version.
import Darwin enum AGRError : Error { case undefined } func agm(_ a: Double, _ g: Double, _ iota: Double = 1e-8) throws -> Double { var a = a var g = g var a1: Double = 0 var g1: Double = 0 guard a * g >= 0 else { throw AGRError.undefined } while abs(a - g) > iota { a1 = (a + g) / 2 g1 = sqrt(a * g) a = a1 g = g1 } return a } do { try print(agm(1, 1 / sqrt(2))) } catch { print("agr is undefined when a * g < 0") }
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)) }
Preserve the algorithm and functionality while converting the code from Tcl to C.
proc agm {a b} { set old_b [expr {$b<0?inf:-inf}] while {$a != $b && $b != $old_b} { set old_b $b lassign [list [expr {0.5*($a+$b)}] [expr {sqrt($a*$b)}]] a b } return $a } puts [agm 1 [expr 1/sqrt(2)]]
#include<math.h> #include<stdio.h> #include<stdlib.h> double agm( double a, double g ) { double iota = 1.0E-16; double a1, g1; if( a*g < 0.0 ) { printf( "arithmetic-geometric mean undefined when x*y<0\n" ); exit(1); } while( fabs(a-g)>iota ) { a1 = (a + g) / 2.0; g1 = sqrt(a * g); a = a1; g = g1; } return a; } int main( void ) { double x, y; printf( "Enter two numbers: " ); scanf( "%lf%lf", &x, &y ); printf( "The arithmetic-geometric mean is %lf\n", agm(x, y) ); return 0; }
Write the same code in C as shown below in Tcl.
proc agm {a b} { set old_b [expr {$b<0?inf:-inf}] while {$a != $b && $b != $old_b} { set old_b $b lassign [list [expr {0.5*($a+$b)}] [expr {sqrt($a*$b)}]] a b } return $a } puts [agm 1 [expr 1/sqrt(2)]]
#include<math.h> #include<stdio.h> #include<stdlib.h> double agm( double a, double g ) { double iota = 1.0E-16; double a1, g1; if( a*g < 0.0 ) { printf( "arithmetic-geometric mean undefined when x*y<0\n" ); exit(1); } while( fabs(a-g)>iota ) { a1 = (a + g) / 2.0; g1 = sqrt(a * g); a = a1; g = g1; } return a; } int main( void ) { double x, y; printf( "Enter two numbers: " ); scanf( "%lf%lf", &x, &y ); printf( "The arithmetic-geometric mean is %lf\n", agm(x, y) ); return 0; }
Generate a C# translation of this Tcl snippet without changing its computational steps.
proc agm {a b} { set old_b [expr {$b<0?inf:-inf}] while {$a != $b && $b != $old_b} { set old_b $b lassign [list [expr {0.5*($a+$b)}] [expr {sqrt($a*$b)}]] a b } return $a } puts [agm 1 [expr 1/sqrt(2)]]
namespace RosettaCode.ArithmeticGeometricMean { using System; using System.Collections.Generic; using System.Globalization; internal static class Program { private static double ArithmeticGeometricMean(double number, double otherNumber, IEqualityComparer<double> comparer) { return comparer.Equals(number, otherNumber) ? number : ArithmeticGeometricMean( ArithmeticMean(number, otherNumber), GeometricMean(number, otherNumber), comparer); } private static double ArithmeticMean(double number, double otherNumber) { return 0.5 * (number + otherNumber); } private static double GeometricMean(double number, double otherNumber) { return Math.Sqrt(number * otherNumber); } private static void Main() { Console.WriteLine( ArithmeticGeometricMean(1, 0.5 * Math.Sqrt(2), new RelativeDifferenceComparer(1e-5)). ToString(CultureInfo.InvariantCulture)); } private class RelativeDifferenceComparer : IEqualityComparer<double> { private readonly double _maximumRelativeDifference; internal RelativeDifferenceComparer(double maximumRelativeDifference) { _maximumRelativeDifference = maximumRelativeDifference; } public bool Equals(double number, double otherNumber) { return RelativeDifference(number, otherNumber) <= _maximumRelativeDifference; } public int GetHashCode(double number) { return number.GetHashCode(); } private static double RelativeDifference(double number, double otherNumber) { return AbsoluteDifference(number, otherNumber) / Norm(number, otherNumber); } private static double AbsoluteDifference(double number, double otherNumber) { return Math.Abs(number - otherNumber); } private static double Norm(double number, double otherNumber) { return 0.5 * (Math.Abs(number) + Math.Abs(otherNumber)); } } } }
Convert the following code from Tcl to C#, ensuring the logic remains intact.
proc agm {a b} { set old_b [expr {$b<0?inf:-inf}] while {$a != $b && $b != $old_b} { set old_b $b lassign [list [expr {0.5*($a+$b)}] [expr {sqrt($a*$b)}]] a b } return $a } puts [agm 1 [expr 1/sqrt(2)]]
namespace RosettaCode.ArithmeticGeometricMean { using System; using System.Collections.Generic; using System.Globalization; internal static class Program { private static double ArithmeticGeometricMean(double number, double otherNumber, IEqualityComparer<double> comparer) { return comparer.Equals(number, otherNumber) ? number : ArithmeticGeometricMean( ArithmeticMean(number, otherNumber), GeometricMean(number, otherNumber), comparer); } private static double ArithmeticMean(double number, double otherNumber) { return 0.5 * (number + otherNumber); } private static double GeometricMean(double number, double otherNumber) { return Math.Sqrt(number * otherNumber); } private static void Main() { Console.WriteLine( ArithmeticGeometricMean(1, 0.5 * Math.Sqrt(2), new RelativeDifferenceComparer(1e-5)). ToString(CultureInfo.InvariantCulture)); } private class RelativeDifferenceComparer : IEqualityComparer<double> { private readonly double _maximumRelativeDifference; internal RelativeDifferenceComparer(double maximumRelativeDifference) { _maximumRelativeDifference = maximumRelativeDifference; } public bool Equals(double number, double otherNumber) { return RelativeDifference(number, otherNumber) <= _maximumRelativeDifference; } public int GetHashCode(double number) { return number.GetHashCode(); } private static double RelativeDifference(double number, double otherNumber) { return AbsoluteDifference(number, otherNumber) / Norm(number, otherNumber); } private static double AbsoluteDifference(double number, double otherNumber) { return Math.Abs(number - otherNumber); } private static double Norm(double number, double otherNumber) { return 0.5 * (Math.Abs(number) + Math.Abs(otherNumber)); } } } }
Port the provided Tcl code into C++ while preserving the original functionality.
proc agm {a b} { set old_b [expr {$b<0?inf:-inf}] while {$a != $b && $b != $old_b} { set old_b $b lassign [list [expr {0.5*($a+$b)}] [expr {sqrt($a*$b)}]] a b } return $a } puts [agm 1 [expr 1/sqrt(2)]]
#include "gmp.h" void agm (const mpf_t in1, const mpf_t in2, mpf_t out1, mpf_t out2) { mpf_add (out1, in1, in2); mpf_div_ui (out1, out1, 2); mpf_mul (out2, in1, in2); mpf_sqrt (out2, out2); } int main (void) { mpf_set_default_prec (65568); mpf_t x0, y0, resA, resB; mpf_init_set_ui (y0, 1); mpf_init_set_d (x0, 0.5); mpf_sqrt (x0, x0); mpf_init (resA); mpf_init (resB); for(int i=0; i<7; i++){ agm(x0, y0, resA, resB); agm(resA, resB, x0, y0); } gmp_printf ("%.20000Ff\n", x0); gmp_printf ("%.20000Ff\n\n", y0); return 0; }
Ensure the translated C++ code behaves exactly like the original Tcl snippet.
proc agm {a b} { set old_b [expr {$b<0?inf:-inf}] while {$a != $b && $b != $old_b} { set old_b $b lassign [list [expr {0.5*($a+$b)}] [expr {sqrt($a*$b)}]] a b } return $a } puts [agm 1 [expr 1/sqrt(2)]]
#include "gmp.h" void agm (const mpf_t in1, const mpf_t in2, mpf_t out1, mpf_t out2) { mpf_add (out1, in1, in2); mpf_div_ui (out1, out1, 2); mpf_mul (out2, in1, in2); mpf_sqrt (out2, out2); } int main (void) { mpf_set_default_prec (65568); mpf_t x0, y0, resA, resB; mpf_init_set_ui (y0, 1); mpf_init_set_d (x0, 0.5); mpf_sqrt (x0, x0); mpf_init (resA); mpf_init (resB); for(int i=0; i<7; i++){ agm(x0, y0, resA, resB); agm(resA, resB, x0, y0); } gmp_printf ("%.20000Ff\n", x0); gmp_printf ("%.20000Ff\n\n", y0); return 0; }
Produce a language-to-language conversion: from Tcl to Java, same semantics.
proc agm {a b} { set old_b [expr {$b<0?inf:-inf}] while {$a != $b && $b != $old_b} { set old_b $b lassign [list [expr {0.5*($a+$b)}] [expr {sqrt($a*$b)}]] a b } return $a } puts [agm 1 [expr 1/sqrt(2)]]
public class ArithmeticGeometricMean { public static double agm(double a, double g) { double a1 = a; double g1 = g; while (Math.abs(a1 - g1) >= 1.0e-14) { double arith = (a1 + g1) / 2.0; double geom = Math.sqrt(a1 * g1); a1 = arith; g1 = geom; } return a1; } public static void main(String[] args) { System.out.println(agm(1.0, 1.0 / Math.sqrt(2.0))); } }
Rewrite this program in Java while keeping its functionality equivalent to the Tcl version.
proc agm {a b} { set old_b [expr {$b<0?inf:-inf}] while {$a != $b && $b != $old_b} { set old_b $b lassign [list [expr {0.5*($a+$b)}] [expr {sqrt($a*$b)}]] a b } return $a } puts [agm 1 [expr 1/sqrt(2)]]
public class ArithmeticGeometricMean { public static double agm(double a, double g) { double a1 = a; double g1 = g; while (Math.abs(a1 - g1) >= 1.0e-14) { double arith = (a1 + g1) / 2.0; double geom = Math.sqrt(a1 * g1); a1 = arith; g1 = geom; } return a1; } public static void main(String[] args) { System.out.println(agm(1.0, 1.0 / Math.sqrt(2.0))); } }
Transform the following Tcl implementation into Python, maintaining the same output and logic.
proc agm {a b} { set old_b [expr {$b<0?inf:-inf}] while {$a != $b && $b != $old_b} { set old_b $b lassign [list [expr {0.5*($a+$b)}] [expr {sqrt($a*$b)}]] a b } return $a } puts [agm 1 [expr 1/sqrt(2)]]
from math import sqrt def agm(a0, g0, tolerance=1e-10): an, gn = (a0 + g0) / 2.0, sqrt(a0 * g0) while abs(an - gn) > tolerance: an, gn = (an + gn) / 2.0, sqrt(an * gn) return an print agm(1, 1 / sqrt(2))
Ensure the translated Python code behaves exactly like the original Tcl snippet.
proc agm {a b} { set old_b [expr {$b<0?inf:-inf}] while {$a != $b && $b != $old_b} { set old_b $b lassign [list [expr {0.5*($a+$b)}] [expr {sqrt($a*$b)}]] a b } return $a } puts [agm 1 [expr 1/sqrt(2)]]
from math import sqrt def agm(a0, g0, tolerance=1e-10): an, gn = (a0 + g0) / 2.0, sqrt(a0 * g0) while abs(an - gn) > tolerance: an, gn = (an + gn) / 2.0, sqrt(an * gn) return an print agm(1, 1 / sqrt(2))
Produce a functionally identical VB code for the snippet given in Tcl.
proc agm {a b} { set old_b [expr {$b<0?inf:-inf}] while {$a != $b && $b != $old_b} { set old_b $b lassign [list [expr {0.5*($a+$b)}] [expr {sqrt($a*$b)}]] a b } return $a } puts [agm 1 [expr 1/sqrt(2)]]
Private Function agm(a As Double, g As Double, Optional tolerance As Double = 0.000000000000001) As Double Do While Abs(a - g) > tolerance tmp = a a = (a + g) / 2 g = Sqr(tmp * g) Debug.Print a Loop agm = a End Function Public Sub main() Debug.Print agm(1, 1 / Sqr(2)) End Sub
Produce a functionally identical VB code for the snippet given in Tcl.
proc agm {a b} { set old_b [expr {$b<0?inf:-inf}] while {$a != $b && $b != $old_b} { set old_b $b lassign [list [expr {0.5*($a+$b)}] [expr {sqrt($a*$b)}]] a b } return $a } puts [agm 1 [expr 1/sqrt(2)]]
Private Function agm(a As Double, g As Double, Optional tolerance As Double = 0.000000000000001) As Double Do While Abs(a - g) > tolerance tmp = a a = (a + g) / 2 g = Sqr(tmp * g) Debug.Print a Loop agm = a End Function Public Sub main() Debug.Print agm(1, 1 / Sqr(2)) End Sub
Produce a functionally identical Go code for the snippet given in Tcl.
proc agm {a b} { set old_b [expr {$b<0?inf:-inf}] while {$a != $b && $b != $old_b} { set old_b $b lassign [list [expr {0.5*($a+$b)}] [expr {sqrt($a*$b)}]] a b } return $a } puts [agm 1 [expr 1/sqrt(2)]]
package main import ( "fmt" "math" ) const ε = 1e-14 func agm(a, g float64) float64 { for math.Abs(a-g) > math.Abs(a)*ε { a, g = (a+g)*.5, math.Sqrt(a*g) } return a } func main() { fmt.Println(agm(1, 1/math.Sqrt2)) }
Convert the following code from Tcl to Go, ensuring the logic remains intact.
proc agm {a b} { set old_b [expr {$b<0?inf:-inf}] while {$a != $b && $b != $old_b} { set old_b $b lassign [list [expr {0.5*($a+$b)}] [expr {sqrt($a*$b)}]] a b } return $a } puts [agm 1 [expr 1/sqrt(2)]]
package main import ( "fmt" "math" ) const ε = 1e-14 func agm(a, g float64) float64 { for math.Abs(a-g) > math.Abs(a)*ε { a, g = (a+g)*.5, math.Sqrt(a*g) } return a } func main() { fmt.Println(agm(1, 1/math.Sqrt2)) }
Write the same algorithm in PHP as shown in this Rust implementation.
fn main () { let mut args = std::env::args(); let x = args.nth(1).expect("First argument not specified.").parse::<f32>().unwrap(); let y = args.next().expect("Second argument not specified.").parse::<f32>().unwrap(); let result = agm(x,y); println!("The arithmetic-geometric mean is {}", result); } fn agm (x: f32, y: f32) -> f32 { let e: f32 = 0.000001; let mut a = x; let mut g = y; let mut a1: f32; let mut g1: f32; if a * g < 0f32 { panic!("The arithmetric-geometric mean is undefined for numbers less than zero!"); } else { loop { a1 = (a + g) / 2.; g1 = (a * g).sqrt(); a = a1; g = g1; if (a - g).abs() < e { return a; } } } }
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Transform the following Rust implementation into PHP, maintaining the same output and logic.
fn main () { let mut args = std::env::args(); let x = args.nth(1).expect("First argument not specified.").parse::<f32>().unwrap(); let y = args.next().expect("Second argument not specified.").parse::<f32>().unwrap(); let result = agm(x,y); println!("The arithmetic-geometric mean is {}", result); } fn agm (x: f32, y: f32) -> f32 { let e: f32 = 0.000001; let mut a = x; let mut g = y; let mut a1: f32; let mut g1: f32; if a * g < 0f32 { panic!("The arithmetric-geometric mean is undefined for numbers less than zero!"); } else { loop { a1 = (a + g) / 2.; g1 = (a * g).sqrt(); a = a1; g = g1; if (a - g).abs() < e { return a; } } } }
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Transform the following Ada implementation into PHP, maintaining the same output and logic.
with Ada.Text_IO, Ada.Numerics.Generic_Elementary_Functions; procedure Arith_Geom_Mean is type Num is digits 18; package N_IO is new Ada.Text_IO.Float_IO(Num); package Math is new Ada.Numerics.Generic_Elementary_Functions(Num); function AGM(A, G: Num) return Num is Old_G: Num; New_G: Num := G; New_A: Num := A; begin loop Old_G := New_G; New_G := Math.Sqrt(New_A*New_G); New_A := (Old_G + New_A) * 0.5; exit when (New_A - New_G) <= Num'Epsilon; end loop; return New_G; end AGM; begin N_IO.Put(AGM(1.0, 1.0/Math.Sqrt(2.0)), Fore => 1, Aft => 17, Exp => 0); end Arith_Geom_Mean;
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Translate this program into PHP but keep the logic exactly as in Ada.
with Ada.Text_IO, Ada.Numerics.Generic_Elementary_Functions; procedure Arith_Geom_Mean is type Num is digits 18; package N_IO is new Ada.Text_IO.Float_IO(Num); package Math is new Ada.Numerics.Generic_Elementary_Functions(Num); function AGM(A, G: Num) return Num is Old_G: Num; New_G: Num := G; New_A: Num := A; begin loop Old_G := New_G; New_G := Math.Sqrt(New_A*New_G); New_A := (Old_G + New_A) * 0.5; exit when (New_A - New_G) <= Num'Epsilon; end loop; return New_G; end AGM; begin N_IO.Put(AGM(1.0, 1.0/Math.Sqrt(2.0)), Fore => 1, Aft => 17, Exp => 0); end Arith_Geom_Mean;
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Change the programming language of this snippet from AWK to PHP without modifying what it does.
BEGIN { printf "%.16g\n", agm(1.0,sqrt(0.5)) } function agm(a,g) { while (1) { a0=a a=(a0+g)/2 g=sqrt(a0*g) if (abs(a0-a) < abs(a)*1e-15) break } return a } function abs(x) { return (x<0 ? -x : x) }
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Port the following code from AWK to PHP with equivalent syntax and logic.
BEGIN { printf "%.16g\n", agm(1.0,sqrt(0.5)) } function agm(a,g) { while (1) { a0=a a=(a0+g)/2 g=sqrt(a0*g) if (abs(a0-a) < abs(a)*1e-15) break } return a } function abs(x) { return (x<0 ? -x : x) }
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Change the programming language of this snippet from BBC_Basic to PHP without modifying what it does.
*FLOAT 64 @% = &1010 PRINT FNagm(1, 1/SQR(2)) END DEF FNagm(a,g) LOCAL ta REPEAT ta = a a = (a+g)/2 g = SQR(ta*g) UNTIL a = ta = a
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Change the following BBC_Basic code into PHP without altering its purpose.
*FLOAT 64 @% = &1010 PRINT FNagm(1, 1/SQR(2)) END DEF FNagm(a,g) LOCAL ta REPEAT ta = a a = (a+g)/2 g = SQR(ta*g) UNTIL a = ta = a
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Can you help me rewrite this code in PHP instead of Common_Lisp, keeping it the same logically?
(ns agmcompute (:gen-class)) (import '(org.apfloat Apfloat ApfloatMath)) (def precision 70) (def one (Apfloat. 1M precision)) (def two (Apfloat. 2M precision)) (def half (Apfloat. 0.5M precision)) (def isqrt2 (.divide one (ApfloatMath/pow two half))) (def TOLERANCE (Apfloat. 0.000000M precision)) (defn agm [a g] " Simple AGM Loop calculation " (let [THRESH 1e-65 MAX-LOOPS 1000000] (loop [[an gn] [a g], cnt 0] (if (or (< (ApfloatMath/abs (.subtract an gn)) THRESH) (> cnt MAX-LOOPS)) an (recur [(.multiply (.add an gn) half) (ApfloatMath/pow (.multiply an gn) half)] (inc cnt)))))) (println (agm one isqrt2))
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Keep all operations the same but rewrite the snippet in PHP.
(ns agmcompute (:gen-class)) (import '(org.apfloat Apfloat ApfloatMath)) (def precision 70) (def one (Apfloat. 1M precision)) (def two (Apfloat. 2M precision)) (def half (Apfloat. 0.5M precision)) (def isqrt2 (.divide one (ApfloatMath/pow two half))) (def TOLERANCE (Apfloat. 0.000000M precision)) (defn agm [a g] " Simple AGM Loop calculation " (let [THRESH 1e-65 MAX-LOOPS 1000000] (loop [[an gn] [a g], cnt 0] (if (or (< (ApfloatMath/abs (.subtract an gn)) THRESH) (> cnt MAX-LOOPS)) an (recur [(.multiply (.add an gn) half) (ApfloatMath/pow (.multiply an gn) half)] (inc cnt)))))) (println (agm one isqrt2))
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Convert this D block to PHP, preserving its control flow and logic.
import std.stdio, std.math, std.meta, std.typecons; real agm(real a, real g, in int bitPrecision=60) pure nothrow @nogc @safe { do { AliasSeq!(a, g) = tuple((a + g) / 2.0, sqrt(a * g)); } while (feqrel(a, g) < bitPrecision); return a; } void main() @safe { writefln("%0.19f", agm(1, 1 / sqrt(2.0))); }
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Rewrite the snippet below in PHP so it works the same as the original D code.
import std.stdio, std.math, std.meta, std.typecons; real agm(real a, real g, in int bitPrecision=60) pure nothrow @nogc @safe { do { AliasSeq!(a, g) = tuple((a + g) / 2.0, sqrt(a * g)); } while (feqrel(a, g) < bitPrecision); return a; } void main() @safe { writefln("%0.19f", agm(1, 1 / sqrt(2.0))); }
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Convert the following code from Delphi to PHP, ensuring the logic remains intact.
program geometric_mean; uses System.SysUtils; function Fabs(value: Double): Double; begin Result := value; if Result < 0 then Result := -Result; end; function agm(a, g: Double):Double; var iota, a1, g1: Double; begin iota := 1.0E-16; if a * g < 0.0 then begin Writeln('arithmetic-geometric mean undefined when x*y<0'); exit(1); end; while Fabs(a - g) > iota do begin a1 := (a + g) / 2.0; g1 := sqrt(a * g); a := a1; g := g1; end; Exit(a); end; var x, y: Double; begin Write('Enter two numbers:'); Readln(x, y); writeln(format('The arithmetic-geometric mean is  %.6f', [agm(x, y)])); readln; end.
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Produce a functionally identical PHP code for the snippet given in Delphi.
program geometric_mean; uses System.SysUtils; function Fabs(value: Double): Double; begin Result := value; if Result < 0 then Result := -Result; end; function agm(a, g: Double):Double; var iota, a1, g1: Double; begin iota := 1.0E-16; if a * g < 0.0 then begin Writeln('arithmetic-geometric mean undefined when x*y<0'); exit(1); end; while Fabs(a - g) > iota do begin a1 := (a + g) / 2.0; g1 := sqrt(a * g); a := a1; g := g1; end; Exit(a); end; var x, y: Double; begin Write('Enter two numbers:'); Readln(x, y); writeln(format('The arithmetic-geometric mean is  %.6f', [agm(x, y)])); readln; end.
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Convert this Elixir snippet to PHP and keep its semantics consistent.
defmodule ArithhGeom do def mean(a,g,tol) when abs(a-g) <= tol, do: a def mean(a,g,tol) do mean((a+g)/2,:math.pow(a*g, 0.5),tol) end end IO.puts ArithhGeom.mean(1,1/:math.sqrt(2),0.0000000001)
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Can you help me rewrite this code in PHP instead of Elixir, keeping it the same logically?
defmodule ArithhGeom do def mean(a,g,tol) when abs(a-g) <= tol, do: a def mean(a,g,tol) do mean((a+g)/2,:math.pow(a*g, 0.5),tol) end end IO.puts ArithhGeom.mean(1,1/:math.sqrt(2),0.0000000001)
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Can you help me rewrite this code in PHP instead of Erlang, keeping it the same logically?
-module(agm_calculator). -export([find_agm/0]). -define(TOLERANCE, 0.0000000001). find_agm() -> A = 1, B = 1 / (math:pow(2, 0.5)), AGM = agm(A, B), io:format("AGM = ~p", [AGM]). agm (A, B) when abs(A-B) =< ?TOLERANCE -> A; agm (A, B) -> A1 = (A+B) / 2, B1 = math:pow(A*B, 0.5), agm(A1, B1).
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Please provide an equivalent version of this Erlang code in PHP.
-module(agm_calculator). -export([find_agm/0]). -define(TOLERANCE, 0.0000000001). find_agm() -> A = 1, B = 1 / (math:pow(2, 0.5)), AGM = agm(A, B), io:format("AGM = ~p", [AGM]). agm (A, B) when abs(A-B) =< ?TOLERANCE -> A; agm (A, B) -> A1 = (A+B) / 2, B1 = math:pow(A*B, 0.5), agm(A1, B1).
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Can you help me rewrite this code in PHP instead of F#, keeping it the same logically?
let rec agm a g precision = if precision > abs(a - g) then a else agm (0.5 * (a + g)) (sqrt (a * g)) precision printfn "%g" (agm 1. (sqrt(0.5)) 1e-15)
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Rewrite this program in PHP while keeping its functionality equivalent to the F# version.
let rec agm a g precision = if precision > abs(a - g) then a else agm (0.5 * (a + g)) (sqrt (a * g)) precision printfn "%g" (agm 1. (sqrt(0.5)) 1e-15)
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Rewrite the snippet below in PHP so it works the same as the original Factor code.
USING: kernel math math.functions prettyprint ; IN: rosetta-code.arithmetic-geometric-mean : agm ( a g -- a' g' ) 2dup [ + 0.5 * ] 2dip * sqrt ; 1 1 2 sqrt / [ 2dup - 1e-15 > ] [ agm ] while drop .
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Generate a PHP translation of this Factor snippet without changing its computational steps.
USING: kernel math math.functions prettyprint ; IN: rosetta-code.arithmetic-geometric-mean : agm ( a g -- a' g' ) 2dup [ + 0.5 * ] 2dip * sqrt ; 1 1 2 sqrt / [ 2dup - 1e-15 > ] [ agm ] while drop .
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Write a version of this Forth function in PHP with identical behavior.
: agm begin fover fover f+ 2e f/ frot frot f* fsqrt fover fover 1e-15 f~ until fdrop ; 1e 2e -0.5e f** agm f.
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Maintain the same structure and functionality when rewriting this code in PHP.
: agm begin fover fover f+ 2e f/ frot frot f* fsqrt fover fover 1e-15 f~ until fdrop ; 1e 2e -0.5e f** agm f.
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Generate an equivalent PHP version of this Fortran code.
function agm(a,b) implicit none double precision agm,a,b,eps,c parameter(eps=1.0d-15) 10 c=0.5d0*(a+b) b=sqrt(a*b) a=c if(a-b.gt.eps*a) go to 10 agm=0.5d0*(a+b) end program test implicit none double precision agm print*,agm(1.0d0,1.0d0/sqrt(2.0d0)) end
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Keep all operations the same but rewrite the snippet in PHP.
function agm(a,b) implicit none double precision agm,a,b,eps,c parameter(eps=1.0d-15) 10 c=0.5d0*(a+b) b=sqrt(a*b) a=c if(a-b.gt.eps*a) go to 10 agm=0.5d0*(a+b) end program test implicit none double precision agm print*,agm(1.0d0,1.0d0/sqrt(2.0d0)) end
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Produce a language-to-language conversion: from Groovy to PHP, same semantics.
double agm (double a, double g) { double an = a, gn = g while ((an-gn).abs() >= 10.0**-14) { (an, gn) = [(an+gn)*0.5, (an*gn)**0.5] } an }
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Convert this Groovy snippet to PHP and keep its semantics consistent.
double agm (double a, double g) { double an = a, gn = g while ((an-gn).abs() >= 10.0**-14) { (an, gn) = [(an+gn)*0.5, (an*gn)**0.5] } an }
define('PRECISION', 13); function agm($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));
Produce a functionally identical PHP code for the snippet given 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
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));
Preserve the algorithm and functionality while converting the code from Haskell to PHP.
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
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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Generate an equivalent PHP version of this J code.
mean=: +/ % # (mean , */ %:~ #)^:_] 1,%%:2 0.8472130847939792 0.8472130847939791
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Write a version of this J function in PHP with identical behavior.
mean=: +/ % # (mean , */ %:~ #)^:_] 1,%%:2 0.8472130847939792 0.8472130847939791
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Keep all operations the same but rewrite the snippet in PHP.
function agm(x, y, e::Real = 5) (x ≤ 0 || y ≤ 0 || e ≤ 0) && throw(DomainError("x, y must be strictly positive")) g, a = minmax(x, y) while e * eps(x) < a - g a, g = (a + g) / 2, sqrt(a * g) end a end x, y = 1.0, 1 / √2 println(" @show agm(x, y) println(" x, y = Float32(x), Float32(y) @show agm(x, y) println(" x, y = big(1.0), 1 / √big(2.0) @show agm(x, y)
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Port the provided Julia code into PHP while preserving the original functionality.
function agm(x, y, e::Real = 5) (x ≤ 0 || y ≤ 0 || e ≤ 0) && throw(DomainError("x, y must be strictly positive")) g, a = minmax(x, y) while e * eps(x) < a - g a, g = (a + g) / 2, sqrt(a * g) end a end x, y = 1.0, 1 / √2 println(" @show agm(x, y) println(" x, y = Float32(x), Float32(y) @show agm(x, y) println(" x, y = big(1.0), 1 / √big(2.0) @show agm(x, y)
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Port the following code from Lua to PHP with equivalent syntax and logic.
function agm(a, b, tolerance) if not tolerance or tolerance < 1e-15 then tolerance = 1e-15 end repeat a, b = (a + b) / 2, math.sqrt(a * b) until math.abs(a-b) < tolerance return a end print(string.format("%.15f", agm(1, 1 / math.sqrt(2))))
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Can you help me rewrite this code in PHP instead of Lua, keeping it the same logically?
function agm(a, b, tolerance) if not tolerance or tolerance < 1e-15 then tolerance = 1e-15 end repeat a, b = (a + b) / 2, math.sqrt(a * b) until math.abs(a-b) < tolerance return a end print(string.format("%.15f", agm(1, 1 / math.sqrt(2))))
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Change the following Mathematica code into PHP without altering its purpose.
PrecisionDigits = 85; AGMean[a_, b_] := FixedPoint[{ Tr@#/2, Sqrt[Times@@#] }&, N[{a,b}, PrecisionDigits]]〚1〛
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Convert this Mathematica snippet to PHP and keep its semantics consistent.
PrecisionDigits = 85; AGMean[a_, b_] := FixedPoint[{ Tr@#/2, Sqrt[Times@@#] }&, N[{a,b}, PrecisionDigits]]〚1〛
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Convert this MATLAB snippet to PHP and keep its semantics consistent.
function [a,g]=agm(a,g) while (1) a0=a; a=(a0+g)/2; g=sqrt(a0*g); if (abs(a0-a) < a*eps) break; end; end; end
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Generate a PHP translation of this MATLAB snippet without changing its computational steps.
function [a,g]=agm(a,g) while (1) a0=a; a=(a0+g)/2; g=sqrt(a0*g); if (abs(a0-a) < a*eps) break; end; end; end
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Port the provided Nim code into PHP while preserving the original functionality.
import math proc agm(a, g: float,delta: float = 1.0e-15): float = var aNew: float = 0 aOld: float = a gOld: float = g while (abs(aOld - gOld) > delta): aNew = 0.5 * (aOld + gOld) gOld = sqrt(aOld * gOld) aOld = aNew result = aOld echo agm(1.0,1.0/sqrt(2.0))
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Convert the following code from Nim to PHP, ensuring the logic remains intact.
import math proc agm(a, g: float,delta: float = 1.0e-15): float = var aNew: float = 0 aOld: float = a gOld: float = g while (abs(aOld - gOld) > delta): aNew = 0.5 * (aOld + gOld) gOld = sqrt(aOld * gOld) aOld = aNew result = aOld echo agm(1.0,1.0/sqrt(2.0))
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Transform the following OCaml implementation into PHP, maintaining the same output and logic.
let rec agm a g tol = if tol > abs_float (a -. g) then a else agm (0.5*.(a+.g)) (sqrt (a*.g)) tol let _ = Printf.printf "%.16f\n" (agm 1.0 (sqrt 0.5) 1e-15)
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Rewrite this program in PHP while keeping its functionality equivalent to the OCaml version.
let rec agm a g tol = if tol > abs_float (a -. g) then a else agm (0.5*.(a+.g)) (sqrt (a*.g)) tol let _ = Printf.printf "%.16f\n" (agm 1.0 (sqrt 0.5) 1e-15)
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Convert this Pascal snippet to PHP and keep its semantics consistent.
Program ArithmeticGeometricMean; uses gmp; procedure agm (in1, in2: mpf_t; var out1, out2: mpf_t); begin mpf_add (out1, in1, in2); mpf_div_ui (out1, out1, 2); mpf_mul (out2, in1, in2); mpf_sqrt (out2, out2); end; const nl = chr(13)+chr(10); var x0, y0, resA, resB: mpf_t; i: integer; begin mpf_set_default_prec (65568); mpf_init_set_ui (y0, 1); mpf_init_set_d (x0, 0.5); mpf_sqrt (x0, x0); mpf_init (resA); mpf_init (resB); for i := 0 to 6 do begin agm(x0, y0, resA, resB); agm(resA, resB, x0, y0); end; mp_printf ('%.20000Ff'+nl, @x0); mp_printf ('%.20000Ff'+nl+nl, @y0); end.
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Change the following Pascal code into PHP without altering its purpose.
Program ArithmeticGeometricMean; uses gmp; procedure agm (in1, in2: mpf_t; var out1, out2: mpf_t); begin mpf_add (out1, in1, in2); mpf_div_ui (out1, out1, 2); mpf_mul (out2, in1, in2); mpf_sqrt (out2, out2); end; const nl = chr(13)+chr(10); var x0, y0, resA, resB: mpf_t; i: integer; begin mpf_set_default_prec (65568); mpf_init_set_ui (y0, 1); mpf_init_set_d (x0, 0.5); mpf_sqrt (x0, x0); mpf_init (resA); mpf_init (resB); for i := 0 to 6 do begin agm(x0, y0, resA, resB); agm(resA, resB, x0, y0); end; mp_printf ('%.20000Ff'+nl, @x0); mp_printf ('%.20000Ff'+nl+nl, @y0); end.
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Ensure the translated PHP code behaves exactly like the original Perl snippet.
my ($a0, $g0, $a1, $g1); sub agm($$) { $a0 = shift; $g0 = shift; do { $a1 = ($a0 + $g0)/2; $g1 = sqrt($a0 * $g0); $a0 = ($a1 + $g1)/2; $g0 = sqrt($a1 * $g1); } while ($a0 != $a1); return $a0; } print agm(1, 1/sqrt(2))."\n";
define('PRECISION', 13); function agm($a0, $g0, $tolerance = 1e-10) { $limit = number_format($tolerance, PRECISION, '.', ''); $an = $a0; $gn = $g0; do { list($an, $gn) = array( bcdiv(bcadd($an, $gn), 2), bcsqrt(bcmul($an, $gn)), ); } while (bccomp(bcsub($an, $gn), $limit) > 0); return $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Convert the following code from Perl to PHP, ensuring the logic remains intact.
my ($a0, $g0, $a1, $g1); sub agm($$) { $a0 = shift; $g0 = shift; do { $a1 = ($a0 + $g0)/2; $g1 = sqrt($a0 * $g0); $a0 = ($a1 + $g1)/2; $g0 = sqrt($a1 * $g1); } while ($a0 != $a1); return $a0; } print agm(1, 1/sqrt(2))."\n";
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Port the following code from PowerShell to PHP with equivalent syntax and logic.
function agm ([Double]$a, [Double]$g) { [Double]$eps = 1E-15 [Double]$a1 = [Double]$g1 = 0 while([Math]::Abs($a - $g) -gt $eps) { $a1, $g1 = $a, $g $a = ($a1 + $g1)/2 $g = [Math]::Sqrt($a1*$g1) } [pscustomobject]@{ a = "$a" g = "$g" } } agm 1 (1/[Math]::Sqrt(2))
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Preserve the algorithm and functionality while converting the code from PowerShell to PHP.
function agm ([Double]$a, [Double]$g) { [Double]$eps = 1E-15 [Double]$a1 = [Double]$g1 = 0 while([Math]::Abs($a - $g) -gt $eps) { $a1, $g1 = $a, $g $a = ($a1 + $g1)/2 $g = [Math]::Sqrt($a1*$g1) } [pscustomobject]@{ a = "$a" g = "$g" } } agm 1 (1/[Math]::Sqrt(2))
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Convert this R block to PHP, preserving its control flow and logic.
arithmeticMean <- function(a, b) { (a + b)/2 } geometricMean <- function(a, b) { sqrt(a * b) } arithmeticGeometricMean <- function(a, b) { rel_error <- abs(a - b) / pmax(a, b) if (all(rel_error < .Machine$double.eps, na.rm=TRUE)) { agm <- a return(data.frame(agm, rel_error)); } Recall(arithmeticMean(a, b), geometricMean(a, b)) } agm <- arithmeticGeometricMean(1, 1/sqrt(2)) print(format(agm, digits=16))
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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Write a version of this R function in PHP with identical behavior.
arithmeticMean <- function(a, b) { (a + b)/2 } geometricMean <- function(a, b) { sqrt(a * b) } arithmeticGeometricMean <- function(a, b) { rel_error <- abs(a - b) / pmax(a, b) if (all(rel_error < .Machine$double.eps, na.rm=TRUE)) { agm <- a return(data.frame(agm, rel_error)); } Recall(arithmeticMean(a, b), geometricMean(a, b)) } agm <- arithmeticGeometricMean(1, 1/sqrt(2)) print(format(agm, digits=16))
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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Please provide an equivalent version of this Racket code in PHP.
#lang racket (define (agm a g [ε 1e-15]) (if (<= (- a g) ε) a (agm (/ (+ a g) 2) (sqrt (* a g)) ε))) (agm 1 (/ 1 (sqrt 2)))
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Maintain the same structure and functionality when rewriting this code in PHP.
#lang racket (define (agm a g [ε 1e-15]) (if (<= (- a g) ε) a (agm (/ (+ a g) 2) (sqrt (* a g)) ε))) (agm 1 (/ 1 (sqrt 2)))
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Generate a PHP translation of this COBOL snippet without changing its computational steps.
IDENTIFICATION DIVISION. PROGRAM-ID. ARITHMETIC-GEOMETRIC-MEAN-PROG. DATA DIVISION. WORKING-STORAGE SECTION. 01 AGM-VARS. 05 A PIC 9V9(16). 05 A-ZERO PIC 9V9(16). 05 G PIC 9V9(16). 05 DIFF PIC 9V9(16) VALUE 1. * Initialize DIFF with a non-zero value, otherwise AGM-PARAGRAPH * is never performed at all. PROCEDURE DIVISION. TEST-PARAGRAPH. MOVE 1 TO A. COMPUTE G = 1 / FUNCTION SQRT(2). * The program will run with the test values. If you would rather * calculate the AGM of numbers input at the console, comment out * TEST-PARAGRAPH and un-comment-out INPUT-A-AND-G-PARAGRAPH. * INPUT-A-AND-G-PARAGRAPH. * DISPLAY 'Enter two numbers.' * ACCEPT A. * ACCEPT G. CONTROL-PARAGRAPH. PERFORM AGM-PARAGRAPH UNTIL DIFF IS LESS THAN 0.000000000000001. DISPLAY A. STOP RUN. AGM-PARAGRAPH. MOVE A TO A-ZERO. COMPUTE A = (A-ZERO + G) / 2. MULTIPLY A-ZERO BY G GIVING G. COMPUTE G = FUNCTION SQRT(G). SUBTRACT A FROM G GIVING DIFF. COMPUTE DIFF = FUNCTION ABS(DIFF).
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Transform the following COBOL implementation into PHP, maintaining the same output and logic.
IDENTIFICATION DIVISION. PROGRAM-ID. ARITHMETIC-GEOMETRIC-MEAN-PROG. DATA DIVISION. WORKING-STORAGE SECTION. 01 AGM-VARS. 05 A PIC 9V9(16). 05 A-ZERO PIC 9V9(16). 05 G PIC 9V9(16). 05 DIFF PIC 9V9(16) VALUE 1. * Initialize DIFF with a non-zero value, otherwise AGM-PARAGRAPH * is never performed at all. PROCEDURE DIVISION. TEST-PARAGRAPH. MOVE 1 TO A. COMPUTE G = 1 / FUNCTION SQRT(2). * The program will run with the test values. If you would rather * calculate the AGM of numbers input at the console, comment out * TEST-PARAGRAPH and un-comment-out INPUT-A-AND-G-PARAGRAPH. * INPUT-A-AND-G-PARAGRAPH. * DISPLAY 'Enter two numbers.' * ACCEPT A. * ACCEPT G. CONTROL-PARAGRAPH. PERFORM AGM-PARAGRAPH UNTIL DIFF IS LESS THAN 0.000000000000001. DISPLAY A. STOP RUN. AGM-PARAGRAPH. MOVE A TO A-ZERO. COMPUTE A = (A-ZERO + G) / 2. MULTIPLY A-ZERO BY G GIVING G. COMPUTE G = FUNCTION SQRT(G). SUBTRACT A FROM G GIVING DIFF. COMPUTE DIFF = FUNCTION ABS(DIFF).
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Rewrite the snippet below in PHP so it works the same as the original REXX code.
options replace format comments java crossref symbols nobinary numeric digits 18 parse arg a_ g_ . if a_ = '' | a_ = '.' then a0 = 1 else a0 = a_ if g_ = '' | g_ = '.' then g0 = 1 / Math.sqrt(2) else g0 = g_ say agm(a0, g0) return -- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ method agm(a0, g0) public static returns Rexx a1 = a0 g1 = g0 loop while (a1 - g1).abs() >= Math.pow(10, -14) temp = (a1 + g1) / 2 g1 = Math.sqrt(a1 * g1) a1 = temp end return a1 + 0
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Convert this REXX snippet to PHP and keep its semantics consistent.
options replace format comments java crossref symbols nobinary numeric digits 18 parse arg a_ g_ . if a_ = '' | a_ = '.' then a0 = 1 else a0 = a_ if g_ = '' | g_ = '.' then g0 = 1 / Math.sqrt(2) else g0 = g_ say agm(a0, g0) return -- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ method agm(a0, g0) public static returns Rexx a1 = a0 g1 = g0 loop while (a1 - g1).abs() >= Math.pow(10, -14) temp = (a1 + g1) / 2 g1 = Math.sqrt(a1 * g1) a1 = temp end return a1 + 0
define('PRECISION', 13); function agm($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 $an; } bcscale(PRECISION); echo agm(1, 1 / bcsqrt(2));
Convert the following code from Ruby to PHP, ensuring the logic remains intact.
require 'flt' include Flt BinNum.Context.precision = 512 def agm(a,g) new_a = BinNum a new_g = BinNum g while new_a - new_g > new_a.class.Context.epsilon do old_g = new_g new_g = (new_a * new_g).sqrt new_a = (old_g + new_a) * 0.5 end new_g end puts agm(1, 1 / BinNum(2).sqrt)
define('PRECISION', 13); function agm($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));