Math.NET Numerics
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// <copyright file="ErrorFunction.cs" company="Math.NET">
// Math.NET Numerics, part of the Math.NET Project
// http://numerics.mathdotnet.com
// http://github.com/mathnet/mathnet-numerics
// http://mathnetnumerics.codeplex.com
// Copyright (c) 2009-2010 Math.NET
// Permission is hereby granted, free of charge, to any person
// obtaining a copy of this software and associated documentation
// files (the "Software"), to deal in the Software without
// restriction, including without limitation the rights to use,
// copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following
// conditions:
// The above copyright notice and this permission notice shall be
// included in all copies or substantial portions of the Software.
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
// OTHER DEALINGS IN THE SOFTWARE.
// </copyright>
using System;
using MathNet.Numerics;
namespace Examples.SpecialFunctionsExamples
{
/// <summary>
/// Special Functions: error functions
/// </summary>
public class ErrorFunction : IExample
{
/// <summary>
/// Gets the name of this example
/// </summary>
public string Name
{
get
{
return "Special Functions: error functions";
}
}
/// <summary>
/// Gets the description of this example
/// </summary>
public string Description
{
get
{
return "Error function (Gauss error function or probability integral)";
}
}
/// <summary>
/// Run example
/// </summary>
/// <seealso cref="http://en.wikipedia.org/wiki/Error_function">Error function</seealso>
public void Run()
{
// 1. Calculate the error function at point 2
Console.WriteLine(@"1. Calculate the error function at point 2");
Console.WriteLine(SpecialFunctions.Erf(2));
Console.WriteLine();
// 2. Sample 10 values of the error function in [-1.0; 1.0]
Console.WriteLine(@"2. Sample 10 values of the error function in [-1.0; 1.0]");
var data = Generate.LinearSpacedMap(10, -1.0, 1.0, SpecialFunctions.Erf);
for (var i = 0; i < data.Length; i++)
{
Console.Write(data[i].ToString("N") + @" ");
}
Console.WriteLine();
Console.WriteLine();
// 3. Calculate the complementary error function at point 2
Console.WriteLine(@"3. Calculate the complementary error function at point 2");
Console.WriteLine(SpecialFunctions.Erfc(2));
Console.WriteLine();
// 4. Sample 10 values of the complementary error function in [-1.0; 1.0]
Console.WriteLine(@"4. Sample 10 values of the complementary error function in [-1.0; 1.0]");
data = Generate.LinearSpacedMap(10, -1.0, 1.0, SpecialFunctions.Erfc);
for (var i = 0; i < data.Length; i++)
{
Console.Write(data[i].ToString("N") + @" ");
}
Console.WriteLine();
Console.WriteLine();
// 5. Calculate the inverse error function at point z=0.5
Console.WriteLine(@"5. Calculate the inverse error function at point z=0.5");
Console.WriteLine(SpecialFunctions.ErfInv(0.5));
Console.WriteLine();
// 6. Sample 10 values of the inverse error function in [-1.0; 1.0]
Console.WriteLine(@"6. Sample 10 values of the inverse error function in [-1.0; 1.0]");
data = Generate.LinearSpacedMap(10, -1.0, 1.0, SpecialFunctions.ErfInv);
for (var i = 0; i < data.Length; i++)
{
Console.Write(data[i].ToString("N") + @" ");
}
Console.WriteLine();
Console.WriteLine();
// 7. Calculate the complementary inverse error function at point z=0.5
Console.WriteLine(@"7. Calculate the complementary inverse error function at point z=0.5");
Console.WriteLine(SpecialFunctions.ErfcInv(0.5));
Console.WriteLine();
// 8. Sample 10 values of the complementary inverse error function in [-1.0; 1.0]
Console.WriteLine(@"8. Sample 10 values of the complementary inverse error function in [-1.0; 1.0]");
data = Generate.LinearSpacedMap(10, -1.0, 1.0, SpecialFunctions.ErfcInv);
for (var i = 0; i < data.Length; i++)
{
Console.Write(data[i].ToString("N") + @" ");
}
Console.WriteLine();
}
}
}