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602 lines
21 KiB
602 lines
21 KiB
// <copyright file="DiagonalMatrixStorage.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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using System;
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using System.Collections.Generic;
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using System.Linq;
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using MathNet.Numerics.Properties;
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using MathNet.Numerics.Threading;
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namespace MathNet.Numerics.LinearAlgebra.Storage
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{
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[Serializable]
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public class DiagonalMatrixStorage<T> : MatrixStorage<T>
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where T : struct, IEquatable<T>, IFormattable
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{
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// [ruegg] public fields are OK here
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public readonly T[] Data;
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internal DiagonalMatrixStorage(int rows, int columns)
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: base(rows, columns)
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{
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Data = new T[Math.Min(rows, columns)];
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}
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internal DiagonalMatrixStorage(int rows, int columns, T[] data)
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: base(rows, columns)
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{
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if (data == null)
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{
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throw new ArgumentNullException("data");
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}
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if (data.Length != Math.Min(rows, columns))
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{
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throw new ArgumentOutOfRangeException("data", string.Format(Resources.ArgumentArrayWrongLength, Math.Min(rows, columns)));
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}
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Data = data;
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}
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/// <summary>
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/// Retrieves the requested element without range checking.
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/// </summary>
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public override T At(int row, int column)
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{
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return row == column ? Data[row] : Zero;
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}
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/// <summary>
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/// Sets the element without range checking.
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/// </summary>
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public override void At(int row, int column, T value)
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{
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if (row == column)
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{
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Data[row] = value;
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}
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else if (!Zero.Equals(value))
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{
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throw new IndexOutOfRangeException("Cannot set an off-diagonal element in a diagonal matrix.");
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}
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}
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public override bool IsFullyMutable
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{
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get { return false; }
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}
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public override bool IsMutable(int row, int column)
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{
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return row == column;
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}
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public override void Clear()
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{
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Array.Clear(Data, 0, Data.Length);
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}
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public override void Clear(int rowIndex, int rowCount, int columnIndex, int columnCount)
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{
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var beginInclusive = Math.Max(rowIndex, columnIndex);
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var endExclusive = Math.Min(rowIndex + rowCount, columnIndex + columnCount);
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if (endExclusive > beginInclusive)
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{
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Array.Clear(Data, beginInclusive, endExclusive - beginInclusive);
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}
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}
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/// <summary>
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/// Indicates whether the current object is equal to another object of the same type.
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/// </summary>
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/// <param name="other">
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/// An object to compare with this object.
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/// </param>
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/// <returns>
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/// <c>true</c> if the current object is equal to the <paramref name="other"/> parameter; otherwise, <c>false</c>.
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/// </returns>
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public override bool Equals(MatrixStorage<T> other)
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{
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var diagonal = other as DiagonalMatrixStorage<T>;
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if (diagonal == null)
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{
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return base.Equals(other);
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}
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// Reject equality when the argument is null or has a different shape.
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if (ColumnCount != other.ColumnCount || RowCount != other.RowCount)
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{
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return false;
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}
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// Accept if the argument is the same object as this.
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if (ReferenceEquals(this, other))
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{
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return true;
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}
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if (diagonal.Data.Length != Data.Length)
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{
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return false;
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}
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// If all else fails, perform element wise comparison.
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return !Data.Where((t, i) => !t.Equals(diagonal.Data[i])).Any();
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}
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/// <summary>
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/// Returns a hash code for this instance.
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/// </summary>
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/// <returns>
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/// A hash code for this instance, suitable for use in hashing algorithms and data structures like a hash table.
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/// </returns>
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public override int GetHashCode()
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{
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var hashNum = Math.Min(Data.Length, 25);
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int hash = 17;
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unchecked
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{
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for (var i = 0; i < hashNum; i++)
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{
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hash = hash * 31 + Data[i].GetHashCode();
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}
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}
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return hash;
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}
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// INITIALIZATION
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public static DiagonalMatrixStorage<T> OfMatrix(MatrixStorage<T> matrix)
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{
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var storage = new DiagonalMatrixStorage<T>(matrix.RowCount, matrix.ColumnCount);
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matrix.CopyToUnchecked(storage, skipClearing: true);
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return storage;
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}
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public static DiagonalMatrixStorage<T> OfArray(T[,] array)
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{
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var storage = new DiagonalMatrixStorage<T>(array.GetLength(0), array.GetLength(1));
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for (var i = 0; i < storage.RowCount; i++)
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{
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for (var j = 0; j < storage.ColumnCount; j++)
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{
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if (i == j)
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{
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storage.Data[i] = array[i, j];
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}
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else if (!Zero.Equals(array[i, j]))
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{
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throw new IndexOutOfRangeException("Cannot set an off-diagonal element in a diagonal matrix.");
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}
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}
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}
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return storage;
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}
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public static DiagonalMatrixStorage<T> OfInit(int rows, int columns, Func<int, T> init)
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{
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var storage = new DiagonalMatrixStorage<T>(rows, columns);
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for (var i = 0; i < storage.Data.Length; i++)
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{
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storage.Data[i] = init(i);
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}
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return storage;
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}
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public static DiagonalMatrixStorage<T> OfEnumerable(int rows, int columns, IEnumerable<T> data)
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{
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if (data == null)
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{
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throw new ArgumentNullException("data");
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}
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var arrayData = data as T[];
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if (arrayData != null)
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{
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var copy = new T[arrayData.Length];
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Array.Copy(arrayData, copy, arrayData.Length);
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return new DiagonalMatrixStorage<T>(rows, columns, copy);
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}
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return new DiagonalMatrixStorage<T>(rows, columns, data.ToArray());
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}
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public static DiagonalMatrixStorage<T> OfIndexedEnumerable(int rows, int columns, IEnumerable<Tuple<int, T>> data)
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{
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if (data == null)
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{
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throw new ArgumentNullException("data");
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}
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var storage = new DiagonalMatrixStorage<T>(rows, columns);
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foreach(var item in data)
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{
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storage.Data[item.Item1] = item.Item2;
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}
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return storage;
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}
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// MATRIX COPY
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internal override void CopyToUnchecked(MatrixStorage<T> target, bool skipClearing = false)
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{
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var diagonalTarget = target as DiagonalMatrixStorage<T>;
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if (diagonalTarget != null)
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{
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CopyToUnchecked(diagonalTarget);
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return;
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}
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var denseTarget = target as DenseColumnMajorMatrixStorage<T>;
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if (denseTarget != null)
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{
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CopyToUnchecked(denseTarget, skipClearing);
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return;
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}
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var sparseTarget = target as SparseCompressedRowMatrixStorage<T>;
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if (sparseTarget != null)
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{
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CopyToUnchecked(sparseTarget, skipClearing);
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return;
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}
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// FALL BACK
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if (!skipClearing)
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{
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target.Clear();
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}
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for (int i = 0; i < Data.Length; i++)
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{
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target.At(i, i, Data[i]);
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}
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}
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void CopyToUnchecked(DiagonalMatrixStorage<T> target)
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{
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//Buffer.BlockCopy(Data, 0, target.Data, 0, Data.Length * System.Runtime.InteropServices.Marshal.SizeOf(typeof(T)));
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Array.Copy(Data, 0, target.Data, 0, Data.Length);
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}
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void CopyToUnchecked(SparseCompressedRowMatrixStorage<T> target, bool skipClearing)
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{
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if (!skipClearing)
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{
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target.Clear();
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}
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for (int i = 0; i < Data.Length; i++)
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{
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target.At(i, i, Data[i]);
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}
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}
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void CopyToUnchecked(DenseColumnMajorMatrixStorage<T> target, bool skipClearing)
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{
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if (!skipClearing)
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{
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target.Clear();
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}
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for (int i = 0; i < Data.Length; i++)
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{
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target.Data[i*(target.RowCount + 1)] = Data[i];
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}
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}
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internal override void CopySubMatrixToUnchecked(MatrixStorage<T> target,
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int sourceRowIndex, int targetRowIndex, int rowCount,
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int sourceColumnIndex, int targetColumnIndex, int columnCount,
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bool skipClearing = false)
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{
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var denseTarget = target as DenseColumnMajorMatrixStorage<T>;
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if (denseTarget != null)
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{
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CopySubMatrixToUnchecked(denseTarget, sourceRowIndex, targetRowIndex, rowCount, sourceColumnIndex, targetColumnIndex, columnCount, skipClearing);
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return;
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}
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var diagonalTarget = target as DiagonalMatrixStorage<T>;
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if (diagonalTarget != null)
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{
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CopySubMatrixToUnchecked(diagonalTarget, sourceRowIndex, targetRowIndex, rowCount, sourceColumnIndex, targetColumnIndex, columnCount);
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return;
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}
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var sparseTarget = target as SparseCompressedRowMatrixStorage<T>;
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if (sparseTarget != null)
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{
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CopySubMatrixToUnchecked(sparseTarget, sourceRowIndex, targetRowIndex, rowCount, sourceColumnIndex, targetColumnIndex, columnCount, skipClearing);
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return;
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}
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// FALL BACK
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base.CopySubMatrixToUnchecked(target, sourceRowIndex, targetRowIndex, rowCount, sourceColumnIndex, targetColumnIndex, columnCount, skipClearing);
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}
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void CopySubMatrixToUnchecked(DiagonalMatrixStorage<T> target,
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int sourceRowIndex, int targetRowIndex, int rowCount,
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int sourceColumnIndex, int targetColumnIndex, int columnCount)
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{
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if (sourceRowIndex - sourceColumnIndex != targetRowIndex - targetColumnIndex)
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{
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if (Data.Any(x => !Zero.Equals(x)))
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{
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throw new NotSupportedException();
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}
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target.Clear(targetRowIndex, rowCount, targetColumnIndex, columnCount);
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return;
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}
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var beginInclusive = Math.Max(sourceRowIndex, sourceColumnIndex);
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var endExclusive = Math.Min(sourceRowIndex + rowCount, sourceColumnIndex + columnCount);
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if (endExclusive > beginInclusive)
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{
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var beginTarget = Math.Max(targetRowIndex, targetColumnIndex);
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Array.Copy(Data, beginInclusive, target.Data, beginTarget, endExclusive - beginInclusive);
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}
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}
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void CopySubMatrixToUnchecked(DenseColumnMajorMatrixStorage<T> target,
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int sourceRowIndex, int targetRowIndex, int rowCount,
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int sourceColumnIndex, int targetColumnIndex, int columnCount,
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bool skipClearing)
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{
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if (!skipClearing)
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{
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target.Clear(targetRowIndex, rowCount, targetColumnIndex, columnCount);
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}
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if (sourceRowIndex > sourceColumnIndex && sourceColumnIndex + columnCount > sourceRowIndex)
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{
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// column by column, but skip resulting zero columns at the beginning
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int columnInit = sourceRowIndex - sourceColumnIndex;
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int offset = (columnInit + targetColumnIndex) * target.RowCount + targetRowIndex;
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int step = target.RowCount + 1;
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int end = Math.Min(columnCount - columnInit, rowCount) + sourceRowIndex;
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for (int i = sourceRowIndex, j = offset; i < end; i++, j += step)
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{
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target.Data[j] = Data[i];
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}
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}
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else if (sourceRowIndex < sourceColumnIndex && sourceRowIndex + rowCount > sourceColumnIndex)
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{
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// row by row, but skip resulting zero rows at the beginning
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int rowInit = sourceColumnIndex - sourceRowIndex;
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int offset = targetColumnIndex*target.RowCount + rowInit + targetRowIndex;
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int step = target.RowCount + 1;
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int end = Math.Min(columnCount, rowCount - rowInit) + sourceColumnIndex;
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for (int i = sourceColumnIndex, j = offset; i < end; i++, j += step)
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{
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target.Data[j] = Data[i];
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}
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}
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else
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{
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int offset = targetColumnIndex*target.RowCount + targetRowIndex;
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int step = target.RowCount + 1;
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var end = Math.Min(columnCount, rowCount) + sourceRowIndex;
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for (int i = sourceRowIndex, j = offset; i < end; i++, j += step)
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{
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target.Data[j] = Data[i];
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}
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}
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}
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void CopySubMatrixToUnchecked(SparseCompressedRowMatrixStorage<T> target,
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int sourceRowIndex, int targetRowIndex, int rowCount,
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int sourceColumnIndex, int targetColumnIndex, int columnCount,
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bool skipClearing)
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{
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if (!skipClearing)
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{
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target.Clear(targetRowIndex, rowCount, targetColumnIndex, columnCount);
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}
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if (sourceRowIndex == sourceColumnIndex)
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{
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for (var i = 0; i < Math.Min(columnCount, rowCount); i++)
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{
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target.At(i + targetRowIndex, i + targetColumnIndex, Data[sourceRowIndex + i]);
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}
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}
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else if (sourceRowIndex > sourceColumnIndex && sourceColumnIndex + columnCount > sourceRowIndex)
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{
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// column by column, but skip resulting zero columns at the beginning
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int columnInit = sourceRowIndex - sourceColumnIndex;
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for (var i = 0; i < Math.Min(columnCount - columnInit, rowCount); i++)
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{
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target.At(i + targetRowIndex, columnInit + i + targetColumnIndex, Data[sourceRowIndex + i]);
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}
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}
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else if (sourceRowIndex < sourceColumnIndex && sourceRowIndex + rowCount > sourceColumnIndex)
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{
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// row by row, but skip resulting zero rows at the beginning
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int rowInit = sourceColumnIndex - sourceRowIndex;
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for (var i = 0; i < Math.Min(columnCount, rowCount - rowInit); i++)
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{
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target.At(rowInit + i + targetRowIndex, i + targetColumnIndex, Data[sourceColumnIndex + i]);
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}
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}
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// else: all zero, nop
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}
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// ROW COPY
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internal override void CopySubRowToUnchecked(VectorStorage<T> target, int rowIndex,
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int sourceColumnIndex, int targetColumnIndex, int columnCount,
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bool skipClearing = false)
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{
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if (!skipClearing)
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{
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target.Clear(targetColumnIndex, columnCount);
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}
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if (rowIndex >= sourceColumnIndex && rowIndex < sourceColumnIndex + columnCount && rowIndex < Data.Length)
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{
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target.At(rowIndex - sourceColumnIndex + targetColumnIndex, Data[rowIndex]);
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}
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}
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// COLUMN COPY
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internal override void CopySubColumnToUnchecked(VectorStorage<T> target, int columnIndex,
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int sourceRowIndex, int targetRowIndex, int rowCount,
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bool skipClearing = false)
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{
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if (!skipClearing)
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{
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target.Clear(targetRowIndex, rowCount);
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}
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if (columnIndex >= sourceRowIndex && columnIndex < sourceRowIndex + rowCount && columnIndex < Data.Length)
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{
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target.At(columnIndex - sourceRowIndex + targetRowIndex, Data[columnIndex]);
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}
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}
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// EXTRACT
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public override T[] ToRowMajorArray()
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{
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var ret = new T[RowCount * ColumnCount];
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var stride = ColumnCount + 1;
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for (int i = 0; i < Data.Length; i++)
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{
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ret[i * stride] = Data[i];
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}
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return ret;
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}
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public override T[] ToColumnMajorArray()
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{
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var ret = new T[RowCount * ColumnCount];
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var stride = RowCount + 1;
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for (int i = 0; i < Data.Length; i++)
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{
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ret[i * stride] = Data[i];
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}
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return ret;
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}
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public override T[,] ToArray()
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{
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var ret = new T[RowCount, ColumnCount];
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for (int i = 0; i < Data.Length; i++)
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{
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ret[i, i] = Data[i];
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}
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return ret;
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}
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// ENUMERATION
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public override IEnumerable<T> Enumerate()
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{
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for (int j = 0; j < ColumnCount; j++)
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{
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for (int i = 0; i < RowCount; i++)
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{
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// PERF: consider to break up loop to avoid branching
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yield return i == j ? Data[i] : Zero;
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}
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}
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}
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public override IEnumerable<Tuple<int, int, T>> EnumerateIndexed()
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{
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for (int j = 0; j < ColumnCount; j++)
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{
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for (int i = 0; i < RowCount; i++)
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{
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// PERF: consider to break up loop to avoid branching
|
|
yield return i == j
|
|
? new Tuple<int, int, T>(i, i, Data[i])
|
|
: new Tuple<int, int, T>(i, j, Zero);
|
|
}
|
|
}
|
|
}
|
|
|
|
public override IEnumerable<T> EnumerateNonZero()
|
|
{
|
|
return Data.Where(x => !Zero.Equals(x));
|
|
}
|
|
|
|
public override IEnumerable<Tuple<int, int, T>> EnumerateNonZeroIndexed()
|
|
{
|
|
for (int i = 0; i < Data.Length; i++)
|
|
{
|
|
if (!Zero.Equals(Data[i]))
|
|
{
|
|
yield return new Tuple<int, int, T>(i, i, Data[i]);
|
|
}
|
|
}
|
|
}
|
|
|
|
// FUNCTIONAL COMBINATORS
|
|
|
|
public override void MapInplace(Func<T, T> f, bool forceMapZeros = false)
|
|
{
|
|
// we deliberately ignore forceMapZeros since we would not actually
|
|
// support any non-zero results outside of the diagonal anyway
|
|
CommonParallel.For(0, Data.Length, 4096, (a, b) =>
|
|
{
|
|
for (int i = a; i < b; i++)
|
|
{
|
|
Data[i] = f(Data[i]);
|
|
}
|
|
});
|
|
}
|
|
|
|
public override void MapIndexedInplace(Func<int, int, T, T> f, bool forceMapZeros = false)
|
|
{
|
|
// we deliberately ignore forceMapZeros since we would not actually
|
|
// support any non-zero results outside of the diagonal anyway
|
|
CommonParallel.For(0, Data.Length, 4096, (a, b) =>
|
|
{
|
|
for (int i = a; i < b; i++)
|
|
{
|
|
Data[i] = f(i, i, Data[i]);
|
|
}
|
|
});
|
|
}
|
|
}
|
|
}
|
|
|