Uses of Class
com.imsl.math.SparseMatrix

Packages that use SparseMatrix

Package	Description
com.imsl.math	Mathematical functions and algorithms.

Uses of SparseMatrix in com.imsl.math

Methods in com.imsl.math that return SparseMatrix

Modifier and Type	Method and Description
static SparseMatrix	SparseMatrix.add(double alpha, double beta, SparseMatrix A, SparseMatrix B) Performs element-wise addition of two real sparse matrices A, B of type SparseMatrix, \(C \leftarrow \alpha A + \beta B.\)
static SparseMatrix	SparseMatrix.multiply(SparseMatrix A, SparseMatrix B) Multiply two sparse matrices A and B, \( C \leftarrow AB\).
SparseMatrix	SparseMatrix.transpose() Returns the transpose of the matrix.

Methods in com.imsl.math with parameters of type SparseMatrix

Modifier and Type	Method and Description
static SparseMatrix	SparseMatrix.add(double alpha, double beta, SparseMatrix A, SparseMatrix B) Performs element-wise addition of two real sparse matrices A, B of type SparseMatrix, \(C \leftarrow \alpha A + \beta B.\)
static double[]	SparseMatrix.multiply(double[] x, SparseMatrix A) Multiply row array x and sparse matrix A, \(x^TA \).
static double[]	SparseMatrix.multiply(SparseMatrix A, double[] x) Multiply sparse matrix A and column array x, \(A x\).
static SparseMatrix	SparseMatrix.multiply(SparseMatrix A, SparseMatrix B) Multiply two sparse matrices A and B, \( C \leftarrow AB\).
static double[]	SparseMatrix.multiplySymmetric(SparseMatrix A, double[] x) Multiply sparse symmetric matrix A and column vector x.

Constructors in com.imsl.math with parameters of type SparseMatrix

Constructor and Description
SparseCholesky(SparseMatrix A) Constructs the matrix structure for the Cholesky factorization of a sparse symmetric positive definite matrix of type SparseMatrix.
SparseLP(SparseMatrix a, double[] b, double[] c) Constructs a SparseLP object.
SparseMatrix(SparseMatrix A) Creates a new instance of SparseMatrix which is a copy of another SparseMatrix.
SuperLU(SparseMatrix A) Constructor for SuperLU.