DoubleCsrSparseMatrix Class

Class DoubleCsrSparseMatrix stores a general sparse matrix using Compressed Row (CSR) storage format.

Inheritance Hierarchy

SystemObject
  CenterSpace.NMath.CoreSparseMatrixDataCompressedSparseRowDouble, Double
    CenterSpace.NMath.CoreDoubleCsrSparseMatrix
      CenterSpace.NMath.CoreDoubleSymCsrSparseMatrix

Namespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.3

Syntax

C++

Copy

[SerializableAttribute]
public class DoubleCsrSparseMatrix : SparseMatrixData<CompressedSparseRow<double>, double>, 
	IEquatable<DoubleCsrSparseMatrix>, ICloneable

<SerializableAttribute>
Public Class DoubleCsrSparseMatrix
	Inherits SparseMatrixData(Of CompressedSparseRow(Of Double), Double)
	Implements IEquatable(Of DoubleCsrSparseMatrix), ICloneable

[SerializableAttribute]
public ref class DoubleCsrSparseMatrix : public SparseMatrixData<CompressedSparseRow<double>^, double>, 
	IEquatable<DoubleCsrSparseMatrix^>, ICloneable

[<SerializableAttribute>]
type DoubleCsrSparseMatrix =  
    class
        inherit SparseMatrixData<CompressedSparseRow<float>, float>
        interface IEquatable<DoubleCsrSparseMatrix>
        interface ICloneable
    end

The DoubleCsrSparseMatrix type exposes the following members.

Constructors

	Name	Description
	DoubleCsrSparseMatrix	Constructs an empty DoubleCsrSparseMatrix.
	DoubleCsrSparseMatrix(CompressedSparseRowDouble)	Constructs a DoubleCsrSparseMatrix instance with the given data.
	DoubleCsrSparseMatrix(IDictionaryIntPair, Double, Int32)	Constructs a DoubleCsrSparseMatrix instance from the given coordinate map format.

Top

Properties

	Name	Description
	Cols	Gets the number of columns in the matrix. (Inherited from SparseMatrixDataStorage, Type.)
	Data	Gets and sets the formatted data for the matrix. (Inherited from SparseMatrixDataStorage, Type.)
	Item	Gets and sets the value at the given matrix position. (Inherited from SparseMatrixDataStorage, Type.)
	Rows	Gets the number of rows in the matrix. (Inherited from SparseMatrixDataStorage, Type.)

Top

Methods

	Name	Description
	Add(DoubleCsrSparseMatrix, DoubleCsrSparseMatrix)	Compute the sum of two sparse matrices. Performs the operation C = A + B, where C[i,j] = A[i,j] + B[i,j].
	Add(DoubleCsrSparseMatrix, DoubleCsrSparseMatrix, Double)	Computes the some of a sparse matrix with the scalar multiple of another. Performs the operation C = A + betaB where C[i,j] = A[i,j] + betaB[i,j].
	Clone	Creates a deep copy of self.
	Divide	Divides a sparse matrix by a scalar.
	Equals(Object)	Equals function for Compressed Row (CSR) formatted sparse matrices. (Overrides SparseMatrixDataStorage, TypeEquals(Object).)
	Equals(DoubleCsrSparseMatrix)	Equals function for Compressed Row (CSR) formatted sparse matrices.
	GetHashCode	Gets the hash code for this instance. (Overrides SparseMatrixDataStorage, TypeGetHashCode.)
	Multiply(Double, DoubleCsrSparseMatrix)	Multiply a scalar and a sparse matrix.
	Multiply(DoubleCsrSparseMatrix, Double)	Multiply a scalar and a sparse matrix.
	Scale	Scales each element in the matrix by the specified value.
	Subtract	Subtracts two sparse matrices.
	ToCommaSeparated	Returns a formatted string representation of this matrix using commas and newlines. (Inherited from SparseMatrixDataStorage, Type.)
	ToCommaSeparated(String)	Returns a formatted string representation of this matrix using commas and newlines. Numbers are formatted using the specified format string. (Inherited from SparseMatrixDataStorage, Type.)
	ToDenseMatrix	Converts this sparse matrix to a dense matrix.
	ToString	Returns a formatted string representation of this matrix. (Inherited from SparseMatrixDataStorage, Type.)
	ToString(String)	Returns a formatted string representation of this matrix. Numbers are displayed using the specified format. (Inherited from SparseMatrixDataStorage, Type.)
	ToTabDelimited	Returns a formatted string representation of this matrix using tabs and newlines. (Inherited from SparseMatrixDataStorage, Type.)
	ToTabDelimited(String)	Returns a formatted string representation of this matrix using tabs and newlines. Numbers are formatted using the specified format string. (Inherited from SparseMatrixDataStorage, Type.)
	TransposeAdd(DoubleCsrSparseMatrix, DoubleCsrSparseMatrix)	Computes the sum of the transpose of one sparse matrix with another sparse matrix. Performs the operation C = A' + B, where ' denotes transpose and C[i,j] = A[j,i] + B[i,j].
	TransposeAdd(DoubleCsrSparseMatrix, DoubleCsrSparseMatrix, Double)	Computes the sum of the transpose of one sparse matrix with a scalar multiple another sparse matrix. Performs the operation C = A' + beta*B, where ' denotes transpose and C[i,j] = A[j,i] + B[i,j].

Top

Operators

	Name	Description
	Addition	Adds two sparse matrices.
	Division	Divides a sparse matrix by a scalar.
	Equality	Equality operator for sparse matrices in compressed row (CSR) format.
	Inequality	Not equals operator for sparse matrices in compressed row (CSR) format.
	Multiply(Double, DoubleCsrSparseMatrix)	Multiply a scalar and a sparse matrix.
	Multiply(DoubleCsrSparseMatrix, Double)	Multiply a scalar and a sparse matrix.
	Subtraction	Subtracts two sparse matrices.

Top

Fields

	Name	Description
	data_	The matrix data. (Inherited from SparseMatrixDataStorage, Type.)

Top

Reference

CenterSpace.NMath.Core Namespace