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java.lang.Objectno.uib.cipr.matrix.AbstractMatrix
no.uib.cipr.matrix.sparse.CompRowMatrix
public class CompRowMatrix
Compressed row storage (CRS) matrix
| Nested Class Summary |
|---|
| Nested classes/interfaces inherited from interface no.uib.cipr.matrix.Matrix |
|---|
Matrix.Norm |
| Field Summary |
|---|
| Fields inherited from class no.uib.cipr.matrix.AbstractMatrix |
|---|
numColumns, numRows |
| Constructor Summary | |
|---|---|
CompRowMatrix(int numRows,
int numColumns,
int[][] nz)
Constructor for CompRowMatrix |
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CompRowMatrix(Matrix A)
Constructor for CompRowMatrix |
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CompRowMatrix(Matrix A,
boolean deep)
Constructor for CompRowMatrix |
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CompRowMatrix(MatrixVectorReader r)
Constructor for CompRowMatrix |
|
| Method Summary | |
|---|---|
void |
add(int row,
int column,
double value)
A(row,column) += value |
CompRowMatrix |
copy()
Creates a deep copy of the matrix |
double |
get(int row,
int column)
Returns A(row,column) |
int[] |
getColumnIndices()
Returns the column indices |
double[] |
getData()
Returns the internal data storage |
int[] |
getRowPointers()
Returns the row pointers |
java.util.Iterator<MatrixEntry> |
iterator()
|
Matrix |
mult(Matrix B,
Matrix C)
C = A*B |
Vector |
mult(Vector x,
Vector y)
y = A*x |
Vector |
multAdd(double alpha,
Vector x,
Vector y)
y = alpha*A*x + y |
void |
set(int row,
int column,
double value)
A(row,column) = value |
Matrix |
set(Matrix B)
A=B. |
Vector |
transMult(Vector x,
Vector y)
y = AT*x |
Vector |
transMultAdd(double alpha,
Vector x,
Vector y)
y = alpha*AT*x + y |
CompRowMatrix |
zero()
Zeros all the entries in the matrix, while preserving any underlying structure. |
| Methods inherited from class no.uib.cipr.matrix.AbstractMatrix |
|---|
add, add, check, checkMultAdd, checkMultAdd, checkRank1, checkRank1, checkRank2, checkRank2, checkSize, checkSolve, checkSolve, checkTransABmultAdd, checkTransAmultAdd, checkTransBmultAdd, checkTransMultAdd, checkTranspose, checkTranspose, checkTransRank1, checkTransRank2, isSquare, max, max, mult, mult, multAdd, multAdd, multAdd, norm, norm1, normF, normInf, numColumns, numRows, rank1, rank1, rank1, rank1, rank1, rank1, rank2, rank2, rank2, rank2, scale, set, solve, solve, toString, transABmult, transABmult, transABmultAdd, transABmultAdd, transAmult, transAmult, transAmultAdd, transAmultAdd, transBmult, transBmult, transBmultAdd, transBmultAdd, transMult, transMultAdd, transpose, transpose, transRank1, transRank1, transRank2, transRank2, transSolve, transSolve |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public CompRowMatrix(MatrixVectorReader r)
throws java.io.IOException
r - Reader to get sparse matrix from
java.io.IOException
public CompRowMatrix(int numRows,
int numColumns,
int[][] nz)
numRows - Number of rowsnumColumns - Number of columnsnz - The nonzero column indices on each row
public CompRowMatrix(Matrix A,
boolean deep)
A - Copies from this matrixdeep - True if the copy is to be deep. If it is a shallow copy,
A must be a CompRowMatrixpublic CompRowMatrix(Matrix A)
A - Copies from this matrix. The copy will be deep| Method Detail |
|---|
public int[] getColumnIndices()
public int[] getRowPointers()
public double[] getData()
public Matrix mult(Matrix B,
Matrix C)
MatrixC = A*B
mult in interface Matrixmult in class AbstractMatrixB - Matrix such that B.numRows() == A.numColumns()
and B.numColumns() == C.numColumns()C - Matrix such that C.numRows() == A.numRows() and
B.numColumns() == C.numColumns()
public Vector mult(Vector x,
Vector y)
Matrixy = A*x
mult in interface Matrixmult in class AbstractMatrixx - Vector of size A.numColumns()y - Vector of size A.numRows()
public Vector multAdd(double alpha,
Vector x,
Vector y)
Matrixy = alpha*A*x + y
multAdd in interface MatrixmultAdd in class AbstractMatrixx - Vector of size A.numColumns()y - Vector of size A.numRows()
public Vector transMult(Vector x,
Vector y)
Matrixy = AT*x
transMult in interface MatrixtransMult in class AbstractMatrixx - Vector of size A.numRows()y - Vector of size A.numColumns()
public Vector transMultAdd(double alpha,
Vector x,
Vector y)
Matrixy = alpha*AT*x + y
transMultAdd in interface MatrixtransMultAdd in class AbstractMatrixx - Vector of size A.numRows()y - Vector of size A.numColumns()
public void set(int row,
int column,
double value)
MatrixA(row,column) = value
set in interface Matrixset in class AbstractMatrix
public void add(int row,
int column,
double value)
MatrixA(row,column) += value
add in interface Matrixadd in class AbstractMatrix
public double get(int row,
int column)
MatrixA(row,column)
get in interface Matrixget in class AbstractMatrixpublic CompRowMatrix copy()
Matrix
copy in interface Matrixcopy in class AbstractMatrixpublic java.util.Iterator<MatrixEntry> iterator()
iterator in interface java.lang.Iterable<MatrixEntry>iterator in class AbstractMatrixpublic CompRowMatrix zero()
Matrix
zero in interface Matrixzero in class AbstractMatrixpublic Matrix set(Matrix B)
MatrixA=B. The matrices must be of the same size
set in interface Matrixset in class AbstractMatrix
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