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// <copyright file="ArrayStatistics.cs" company="Math.NET">
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// Math.NET Numerics, part of the Math.NET Project
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// http://numerics.mathdotnet.com
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// http://github.com/mathnet/mathnet-numerics
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// http://mathnetnumerics.codeplex.com
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//
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// Copyright (c) 2009-2013 Math.NET
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//
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// Permission is hereby granted, free of charge, to any person
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// obtaining a copy of this software and associated documentation
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// files (the "Software"), to deal in the Software without
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// restriction, including without limitation the rights to use,
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// copy, modify, merge, publish, distribute, sublicense, and/or sell
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// copies of the Software, and to permit persons to whom the
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// Software is furnished to do so, subject to the following
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// conditions:
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//
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// The above copyright notice and this permission notice shall be
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// included in all copies or substantial portions of the Software.
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//
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
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// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
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// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
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// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
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// OTHER DEALINGS IN THE SOFTWARE.
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// </copyright>
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namespace MathNet.Numerics.Statistics |
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{ |
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public static class ArrayStatistics |
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{ |
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// TODO: Benchmark various options to find out the best approach (-> branch prediction)
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// TODO: consider leveraging MKL
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/// <summary>
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/// Returns the smallest value from the unsorted data array.
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/// Returns NaN if data is empty or any entry is NaN.
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/// </summary>
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/// <param name="data">Sample array, no sorting is assumed.</param>
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public static double Minimum(double[] data) |
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{ |
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if (data == null || data.Length == 0) return double.NaN; |
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var min = double.PositiveInfinity; |
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for (int i = 0; i < data.Length; i++) |
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{ |
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if (data[i] < min || double.IsNaN(data[i])) |
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{ |
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min = data[i]; |
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} |
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} |
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return min; |
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} |
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/// <summary>
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/// Returns the smallest value from the unsorted data array.
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/// Returns NaN if data is empty or any entry is NaN.
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/// </summary>
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/// <param name="data">Sample array, no sorting is assumed.</param>
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public static double Maximum(double[] data) |
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{ |
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if (data == null || data.Length == 0) return double.NaN; |
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var max = double.NegativeInfinity; |
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for (int i = 0; i < data.Length; i++) |
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{ |
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if (data[i] > max || double.IsNaN(data[i])) |
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{ |
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max = data[i]; |
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} |
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} |
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return max; |
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} |
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/// <summary>
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/// Returns the sample mean from the unsorted data array.
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/// Returns NaN if data is empty or any entry is NaN.
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/// </summary>
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/// <param name="data">Sample array, no sorting is assumed.</param>
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public static double Mean(double[] data) |
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{ |
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if (data == null || data.Length == 0) return double.NaN; |
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double mean = 0; |
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ulong m = 0; |
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for (int i = 0; i < data.Length; i++) |
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{ |
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mean += (data[i] - mean) / ++m; |
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} |
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return mean; |
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} |
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} |
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} |
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