Merge branch 'giga' of ssh://ssh.github.com:443/Nitload-NSI/CCD_Github into local
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//-----------------------------------------------------------------------
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// -----------------------------------------------------------------------
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// file="MatrixCompute.Factorize"
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// Project: StgSharp
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// AuthorGroup: Nitload
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// Copyright (c) Nitload. All rights reserved.
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//
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// Permission is hereby granted, free of charge, to any person obtaining a copy
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// of this software and associated documentation files (the "Software"), to deal
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// in the Software without restriction, including without limitation the rights
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// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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// copies of the Software, and to permit persons to whom the Software is
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// furnished to do so, subject to the following conditions:
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//
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// The above copyright notice and this permission notice shall be included in all
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// 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, EXPRESS OR
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// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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// SOFTWARE.
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//
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// -----------------------------------------------------------------------
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// -----------------------------------------------------------------------
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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 System.Text;
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using System.Threading.Tasks;
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namespace StgSharp.Mathematics.Numeric
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{
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public static partial class MatrixCompute
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{
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public static void FactorizePLU(
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Matrix<float> matrix,
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Matrix<float> p,
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Matrix<float> lower,
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Matrix<float> upper)
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{
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if (matrix.ColumnLength != matrix.RowLength) {
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throw new InvalidOperationException("Matrix must be square.");
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}
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int size = matrix.KernelColumnLength * matrix.KernelRowLength;
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if (size < 256)
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{
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for (int i = 0; i < matrix.KernelColumnLength; i++) { }
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} else if (size < 1024) { } else { }
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}
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}
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}
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