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  • Math.NET Numerics Matrices and Vectors

    Matrices and Vectors

    https://numerics.mathdotnet.com/Matrix.html

    // Copy of an existing matrix (can also be sparse or diagonal)
    Matrix<double> x = ...
    M.DenseOfMatrix(x);
    
    // Directly bind to an existing column-major array without copying (note: no "Of")
    double[] x = existing...
    M.Dense(3, 4, x);
    
    // From a 2D-array
    double[,] x = {{ 1.0, 2.0 },
                   { 3.0, 4.0 }};
    M.DenseOfArray(x);
    
    // From an enumerable of values and their coordinates
    Tuple<int,int,double>[] x = {Tuple.Create(0,0,2.0), Tuple.Create(0,1,-3.0)};
    M.DenseOfIndexed(3,4,x);
    
    // From an enumerable in column major order (column by column)
    double[] x = {1.0, 2.0, 3.0, 4.0};
    M.DenseOfColumnMajor(2, 2, x);
    
    // From an enumerable of enumerable-columns (optional with explicit size)
    IEnumerable<IEnumerable<double>> x = ...
    M.DenseOfColumns(x);
    
    // From a params-array of array-columns (or an enumerable of them)
    M.DenseOfColumnArrays(new[] {2.0, 3.0}, new[] {4.0, 5.0});
    
    // From a params-array of column vectors (or an enumerable of them)
    M.DenseOfColumnVectors(V.Random(3), V.Random(3));
    
    // Equivalent variants also for rows or diagonals:
    M.DenseOfRowArrays(new[] {2.0, 3.0}, new[] {4.0, 5.0});
    M.DenseOfDiagonalArray(new[] {2.0, 3.0, 4.0});
    
    // if you already have existing matrices and want to concatenate them
    Matrix<double>[,] x = ...
    M.DenseOfMatrixArray(x);
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  • 原文地址:https://www.cnblogs.com/chucklu/p/14782258.html
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