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Sparse Solver: Delete Experimental.

pull/695/head
Jong Hyun Kim 6 years ago
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1 changed files with 0 additions and 439 deletions
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  1. 439
      src/Numerics/Providers/Experimental.cs

439
src/Numerics/Providers/Experimental.cs
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@ -1,439 +0,0 @@
using MathNet.Numerics.LinearAlgebra;
using MathNet.Numerics.LinearAlgebra.Storage;
using MathNet.Numerics.Properties;
using MathNet.Numerics.Providers.SparseSolver;
using System;
namespace MathNet.Numerics
{
using Complex = System.Numerics.Complex;
public static class Experimental
{
public static DssStatus Solve(DssMatrixStructure matrixStructure, DssMatrixType matrixType, DssSystemType systemType,
int rowCount, int columnCount, int nonZerosCount, int[] rowPointers, int[] columnIndices, float[] values,
int nRhs, float[] rhs, float[] solution)
{
return SparseSolverControl.Provider.Solve(matrixStructure, matrixType, systemType,
rowCount, columnCount, nonZerosCount, rowPointers, columnIndices, values,
nRhs, rhs, solution);
}
public static DssStatus Solve(DssMatrixStructure matrixStructure, DssMatrixType matrixType, DssSystemType systemType,
int rowCount, int columnCount, int nonZerosCount, int[] rowPointers, int[] columnIndices, double[] values,
int nRhs, double[] rhs, double[] solution)
{
return SparseSolverControl.Provider.Solve(matrixStructure, matrixType, systemType,
rowCount, columnCount, nonZerosCount, rowPointers, columnIndices, values,
nRhs, rhs, solution);
}
public static DssStatus Solve(DssMatrixStructure matrixStructure, DssMatrixType matrixType, DssSystemType systemType,
int rowCount, int columnCount, int nonZerosCount, int[] rowPointers, int[] columnIndices, Complex32[] values,
int nRhs, Complex32[] rhs, Complex32[] solution)
{
return SparseSolverControl.Provider.Solve(matrixStructure, matrixType, systemType,
rowCount, columnCount, nonZerosCount, rowPointers, columnIndices, values,
nRhs, rhs, solution);
}
public static DssStatus Solve(DssMatrixStructure matrixStructure, DssMatrixType matrixType, DssSystemType systemType,
int rowCount, int columnCount, int nonZerosCount, int[] rowPointers, int[] columnIndices, Complex[] values,
int nRhs, Complex[] rhs, Complex[] solution)
{
return SparseSolverControl.Provider.Solve(matrixStructure, matrixType, systemType,
rowCount, columnCount, nonZerosCount, rowPointers, columnIndices, values,
nRhs, rhs, solution);
}
// solve A x = b
// The symmetricity or definiteness of A is not checked.
public static DssStatus Solve(this Matrix<float> matrix, Vector<float> input, Vector<float> result)
{
if (matrix.RowCount != matrix.ColumnCount)
{
throw new ArgumentException(Resources.ArgumentMatrixSquare, nameof(matrix));
}
if (result.Count != input.Count)
{
throw new ArgumentException(Resources.ArgumentVectorsSameLength);
}
if (input.Count != matrix.RowCount)
{
throw LinearAlgebra.Single.Matrix.DimensionsDontMatch<ArgumentException>(input, matrix);
}
var csr = matrix.Storage as SparseCompressedRowMatrixStorage<float>;
if (csr == null)
{
throw new ArgumentException(Resources.MatrixMustBeSparse, nameof(matrix));
}
// No diagonal element can be omitted from the values array.
// If there is a zero value on the diagonal, for example, that element nonetheless must be explicitly represented.
csr.PopulateExplicitZerosOnDiagonal();
var rowCount = csr.RowCount;
var columnCount = csr.ColumnCount;
var valueCount = csr.ValueCount;
var values = csr.Values;
var rowPointers = csr.RowPointers;
var columnIndices = csr.ColumnIndices;
var rhs = input.ToArray();
var solution = new float[rowCount];
var error = SparseSolverControl.Provider.Solve(DssMatrixStructure.Nonsymmetric, DssMatrixType.Indefinite, DssSystemType.DontTranspose,
rowCount, columnCount, valueCount, rowPointers, columnIndices, values,
1, rhs, solution);
if (error == DssStatus.MKL_DSS_SUCCESS)
result.SetValues(solution);
return error;
}
public static DssStatus Solve(this Matrix<double> matrix, Vector<double> input, Vector<double> result)
{
if (matrix.RowCount != matrix.ColumnCount)
{
throw new ArgumentException(Resources.ArgumentMatrixSquare, nameof(matrix));
}
if (result.Count != input.Count)
{
throw new ArgumentException(Resources.ArgumentVectorsSameLength);
}
if (input.Count != matrix.RowCount)
{
throw LinearAlgebra.Double.Matrix.DimensionsDontMatch<ArgumentException>(input, matrix);
}
var csr = matrix.Storage as SparseCompressedRowMatrixStorage<double>;
if (csr == null)
{
throw new ArgumentException(Resources.MatrixMustBeSparse, nameof(matrix));
}
// No diagonal element can be omitted from the values array.
// If there is a zero value on the diagonal, that element nonetheless must be explicitly represented.
csr.PopulateExplicitZerosOnDiagonal();
var rowCount = csr.RowCount;
var columnCount = csr.ColumnCount;
var valueCount = csr.ValueCount;
var values = csr.Values;
var rowPointers = csr.RowPointers;
var columnIndices = csr.ColumnIndices;
var rhs = input.ToArray();
var solution = new double[rowCount];
var error = SparseSolverControl.Provider.Solve(DssMatrixStructure.Nonsymmetric, DssMatrixType.Indefinite, DssSystemType.DontTranspose,
rowCount, columnCount, valueCount, rowPointers, columnIndices, values,
1, rhs, solution);
if (error == DssStatus.MKL_DSS_SUCCESS)
result.SetValues(solution);
return error;
}
public static DssStatus Solve(this Matrix<Complex32> matrix, Vector<Complex32> input, Vector<Complex32> result)
{
if (matrix.RowCount != matrix.ColumnCount)
{
throw new ArgumentException(Resources.ArgumentMatrixSquare, nameof(matrix));
}
if (result.Count != input.Count)
{
throw new ArgumentException(Resources.ArgumentVectorsSameLength);
}
if (input.Count != matrix.RowCount)
{
throw MathNet.Numerics.LinearAlgebra.Complex32.Matrix.DimensionsDontMatch<ArgumentException>(input, matrix);
}
var csr = matrix.Storage as SparseCompressedRowMatrixStorage<Complex32>;
if (csr == null)
{
throw new ArgumentException(Resources.MatrixMustBeSparse, nameof(matrix));
}
// No diagonal element can be omitted from the values array.
// If there is a zero value on the diagonal, that element nonetheless must be explicitly represented.
csr.PopulateExplicitZerosOnDiagonal();
var rowCount = csr.RowCount;
var columnCount = csr.ColumnCount;
var valueCount = csr.ValueCount;
var values = csr.Values;
var rowPointers = csr.RowPointers;
var columnIndices = csr.ColumnIndices;
var rhs = input.ToArray();
var solution = new Complex32[rowCount];
var error = SparseSolverControl.Provider.Solve(DssMatrixStructure.Nonsymmetric, DssMatrixType.Indefinite, DssSystemType.DontTranspose,
rowCount, columnCount, valueCount, rowPointers, columnIndices, values,
1, rhs, solution);
if (error == DssStatus.MKL_DSS_SUCCESS)
result.SetValues(solution);
return error;
}
public static DssStatus Solve(this Matrix<Complex> matrix, Vector<Complex> input, Vector<Complex> result)
{
if (matrix.RowCount != matrix.ColumnCount)
{
throw new ArgumentException(Resources.ArgumentMatrixSquare, nameof(matrix));
}
if (result.Count != input.Count)
{
throw new ArgumentException(Resources.ArgumentVectorsSameLength);
}
if (input.Count != matrix.RowCount)
{
throw LinearAlgebra.Complex.Matrix.DimensionsDontMatch<ArgumentException>(input, matrix);
}
var csr = matrix.Storage as SparseCompressedRowMatrixStorage<Complex>;
if (csr == null)
{
throw new ArgumentException(Resources.MatrixMustBeSparse, nameof(matrix));
}
// No diagonal element can be omitted from the values array.
// If there is a zero value on the diagonal, that element nonetheless must be explicitly represented.
csr.PopulateExplicitZerosOnDiagonal();
var rowCount = csr.RowCount;
var columnCount = csr.ColumnCount;
var valueCount = csr.ValueCount;
var values = csr.Values;
var rowPointers = csr.RowPointers;
var columnIndices = csr.ColumnIndices;
var rhs = input.ToArray();
var solution = new Complex[rowCount];
var error = SparseSolverControl.Provider.Solve(DssMatrixStructure.Nonsymmetric, DssMatrixType.Indefinite, DssSystemType.DontTranspose,
rowCount, columnCount, valueCount, rowPointers, columnIndices, values,
1, rhs, solution);
if (error == DssStatus.MKL_DSS_SUCCESS)
result.SetValues(solution);
return error;
}
// Solve A X = B
// The symmetricity or definiteness of A is not checked.
public static DssStatus Solve(this Matrix<float> matrix, Matrix<float> input, Matrix<float> result)
{
if (matrix.RowCount != matrix.ColumnCount)
{
throw new ArgumentException(Resources.ArgumentMatrixSquare, nameof(matrix));
}
if (result.ColumnCount != input.ColumnCount || result.RowCount != input.RowCount)
{
throw LinearAlgebra.Single.Matrix.DimensionsDontMatch<ArgumentException>(input, result);
}
if (input.RowCount != matrix.RowCount)
{
throw LinearAlgebra.Single.Matrix.DimensionsDontMatch<ArgumentException>(input, matrix);
}
var csr = matrix.Storage as SparseCompressedRowMatrixStorage<float>;
if (csr == null)
{
throw new ArgumentException(Resources.MatrixMustBeSparse, nameof(matrix));
}
// No diagonal element can be omitted from the values array.
// If there is a zero value on the diagonal, for example, that element nonetheless must be explicitly represented.
csr.PopulateExplicitZerosOnDiagonal();
var rowCount = csr.RowCount;
var columnCount = csr.ColumnCount;
var valueCount = csr.ValueCount;
var values = csr.Values;
var rowPointers = csr.RowPointers;
var columnIndices = csr.ColumnIndices;
var nRhs = input.ColumnCount;
var rhs = new float[rowCount * nRhs];
Array.Copy(input.ToColumnMajorArray(), rhs, rhs.Length);
var solution = new float[rowCount * nRhs];
var error = SparseSolverControl.Provider.Solve(DssMatrixStructure.Nonsymmetric, DssMatrixType.Indefinite, DssSystemType.DontTranspose,
rowCount, columnCount, valueCount, rowPointers, columnIndices, values,
nRhs, rhs, solution);
if (error == DssStatus.MKL_DSS_SUCCESS)
result = Matrix<float>.Build.DenseOfColumnMajor(rowCount, nRhs, solution);
return error;
}
public static DssStatus Solve(this Matrix<double> matrix, Matrix<double> input, Matrix<double> result)
{
if (matrix.RowCount != matrix.ColumnCount)
{
throw new ArgumentException(Resources.ArgumentMatrixSquare, nameof(matrix));
}
if (result.ColumnCount != input.ColumnCount || result.RowCount != input.RowCount)
{
throw LinearAlgebra.Double.Matrix.DimensionsDontMatch<ArgumentException>(input, result);
}
if (input.RowCount != matrix.RowCount)
{
throw LinearAlgebra.Double.Matrix.DimensionsDontMatch<ArgumentException>(input, matrix);
}
var csr = matrix.Storage as SparseCompressedRowMatrixStorage<double>;
if (csr == null)
{
throw new ArgumentException(Resources.MatrixMustBeSparse, nameof(matrix));
}
// No diagonal element can be omitted from the values array.
// If there is a zero value on the diagonal, that element nonetheless must be explicitly represented.
csr.PopulateExplicitZerosOnDiagonal();
var rowCount = csr.RowCount;
var columnCount = csr.ColumnCount;
var valueCount = csr.ValueCount;
var values = csr.Values;
var rowPointers = csr.RowPointers;
var columnIndices = csr.ColumnIndices;
var nRhs = input.ColumnCount;
var rhs = new double[rowCount * nRhs];
Array.Copy(input.ToColumnMajorArray(), rhs, rhs.Length);
var solution = new double[rowCount * nRhs];
var error = SparseSolverControl.Provider.Solve(DssMatrixStructure.Nonsymmetric, DssMatrixType.Indefinite, DssSystemType.DontTranspose,
rowCount, columnCount, valueCount, rowPointers, columnIndices, values,
nRhs, rhs, solution);
if (error == DssStatus.MKL_DSS_SUCCESS)
result = Matrix<double>.Build.DenseOfColumnMajor(rowCount, nRhs, solution);
return error;
}
public static DssStatus Solve(this Matrix<Complex32> matrix, Matrix<Complex32> input, Matrix<Complex32> result)
{
if (matrix.RowCount != matrix.ColumnCount)
{
throw new ArgumentException(Resources.ArgumentMatrixSquare, nameof(matrix));
}
if (result.ColumnCount != input.ColumnCount || result.RowCount != input.RowCount)
{
throw LinearAlgebra.Complex32.Matrix.DimensionsDontMatch<ArgumentException>(input, result);
}
if (input.RowCount != matrix.RowCount)
{
throw LinearAlgebra.Complex32.Matrix.DimensionsDontMatch<ArgumentException>(input, matrix);
}
var csr = matrix.Storage as SparseCompressedRowMatrixStorage<Complex32>;
if (csr == null)
{
throw new ArgumentException(Resources.MatrixMustBeSparse, nameof(matrix));
}
// No diagonal element can be omitted from the values array.
// If there is a zero value on the diagonal, that element nonetheless must be explicitly represented.
csr.PopulateExplicitZerosOnDiagonal();
var rowCount = csr.RowCount;
var columnCount = csr.ColumnCount;
var valueCount = csr.ValueCount;
var values = csr.Values;
var rowPointers = csr.RowPointers;
var columnIndices = csr.ColumnIndices;
var nRhs = input.ColumnCount;
var rhs = new Complex32[rowCount * nRhs];
Array.Copy(input.ToColumnMajorArray(), rhs, rhs.Length);
var solution = new Complex32[rowCount * nRhs];
var error = SparseSolverControl.Provider.Solve(DssMatrixStructure.Nonsymmetric, DssMatrixType.Indefinite, DssSystemType.DontTranspose,
rowCount, columnCount, valueCount, rowPointers, columnIndices, values,
nRhs, rhs, solution);
if (error == DssStatus.MKL_DSS_SUCCESS)
result = Matrix<Complex32>.Build.DenseOfColumnMajor(rowCount, nRhs, solution);
return error;
}
public static DssStatus Solve(this Matrix<Complex> matrix, Matrix<Complex> input, Matrix<Complex> result)
{
if (matrix.RowCount != matrix.ColumnCount)
{
throw new ArgumentException(Resources.ArgumentMatrixSquare, nameof(matrix));
}
if (result.ColumnCount != input.ColumnCount || result.RowCount != input.RowCount)
{
throw LinearAlgebra.Complex.Matrix.DimensionsDontMatch<ArgumentException>(input, result);
}
if (input.RowCount != matrix.RowCount)
{
throw LinearAlgebra.Complex.Matrix.DimensionsDontMatch<ArgumentException>(input, matrix);
}
var csr = matrix.Storage as SparseCompressedRowMatrixStorage<Complex>;
if (csr == null)
{
throw new ArgumentException(Resources.MatrixMustBeSparse, nameof(matrix));
}
// No diagonal element can be omitted from the values array.
// If there is a zero value on the diagonal, that element nonetheless must be explicitly represented.
csr.PopulateExplicitZerosOnDiagonal();
var rowCount = csr.RowCount;
var columnCount = csr.ColumnCount;
var valueCount = csr.ValueCount;
var values = csr.Values;
var rowPointers = csr.RowPointers;
var columnIndices = csr.ColumnIndices;
var nRhs = input.ColumnCount;
var rhs = new Complex[rowCount * nRhs];
Array.Copy(input.ToColumnMajorArray(), rhs, rhs.Length);
var solution = new Complex[rowCount * nRhs];
var error = SparseSolverControl.Provider.Solve(DssMatrixStructure.Nonsymmetric, DssMatrixType.Indefinite, DssSystemType.DontTranspose,
rowCount, columnCount, valueCount, rowPointers, columnIndices, values,
nRhs, rhs, solution);
if (error == DssStatus.MKL_DSS_SUCCESS)
result = Matrix<Complex>.Build.DenseOfColumnMajor(rowCount, nRhs, solution);
return error;
}
}
}
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