public class UnitUpperTriangPackMatrix extends UpperTriangPackMatrix
UpperTriangPackMatrix, but
the main diagonal is assumed to be all ones.Matrix.NormnumColumns, numRows| Constructor and Description |
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UnitUpperTriangPackMatrix(int n)
Constructor for UnitUpperTriangPackMatrix
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UnitUpperTriangPackMatrix(Matrix A)
Constructor for UnitUpperTriangPackMatrix
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UnitUpperTriangPackMatrix(Matrix A,
boolean deep)
Constructor for UnitUpperTriangPackMatrix
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| Modifier and Type | Method and Description |
|---|---|
void |
add(int row,
int column,
double value)
A(row,column) += value |
UnitUpperTriangPackMatrix |
copy()
Creates a deep copy of the matrix
|
double |
get(int row,
int column)
Returns
A(row,column) |
double[] |
getData()
Returns the matrix contents.
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Iterator<MatrixEntry> |
iterator() |
Vector |
mult(double alpha,
Vector x,
Vector y)
y = alpha*A*x |
void |
set(int row,
int column,
double value)
A(row,column) = value |
Matrix |
set(Matrix B)
A=B. |
Matrix |
solve(Matrix B,
Matrix X)
X = A\B. |
Vector |
solve(Vector b,
Vector x)
x = A\b. |
Vector |
transMult(double alpha,
Vector x,
Vector y)
y = alpha*AT*x |
Matrix |
transSolve(Matrix B,
Matrix X)
X = AT\B. |
Vector |
transSolve(Vector b,
Vector x)
x = AT\b. |
Matrix |
zero()
Zeros all the entries in the matrix, while preserving any underlying
structure.
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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, mult, multAdd, multAdd, multAdd, multAdd, norm, norm1, normF, normInf, numColumns, numRows, rank1, rank1, rank1, rank1, rank1, rank1, rank2, rank2, rank2, rank2, scale, set, toString, transABmult, transABmult, transABmultAdd, transABmultAdd, transAmult, transAmult, transAmultAdd, transAmultAdd, transBmult, transBmult, transBmultAdd, transBmultAdd, transMult, transMultAdd, transMultAdd, transpose, transpose, transRank1, transRank1, transRank2, transRank2public UnitUpperTriangPackMatrix(int n)
n - Size of the matrix. Since the matrix must be square, this
equals both the number of rows and columnspublic UnitUpperTriangPackMatrix(Matrix A)
A - Matrix to copy contents from. Only the entries of the relevant
part are copiedpublic UnitUpperTriangPackMatrix(Matrix A, boolean deep)
A - Matrix to copy contents from. Only the entries of the relevant
part are copieddeep - True if the copy is deep, else false (giving a shallow copy).
For shallow copies, A must be a packed matrixpublic void add(int row,
int column,
double value)
MatrixA(row,column) += valueadd in interface Matrixadd in class UpperTriangPackMatrixpublic double get(int row,
int column)
MatrixA(row,column)get in interface Matrixget in class UpperTriangPackMatrixpublic void set(int row,
int column,
double value)
MatrixA(row,column) = valueset in interface Matrixset in class UpperTriangPackMatrixpublic UnitUpperTriangPackMatrix copy()
Matrixcopy in interface Matrixcopy in class UpperTriangPackMatrixpublic Vector mult(double alpha, Vector x, Vector y)
Matrixy = alpha*A*xmult in interface Matrixmult in class AbstractMatrixx - Vector of size A.numColumns()y - Vector of size A.numRows()public Vector transMult(double alpha, Vector x, Vector y)
Matrixy = alpha*AT*xtransMult in interface MatrixtransMult in class AbstractMatrixx - Vector of size A.numRows()y - Vector of size A.numColumns()public Matrix solve(Matrix B, Matrix X)
MatrixX = A\B. Not all matrices support this operation, those
that do not throw UnsupportedOperationException. Note
that it is often more efficient to use a matrix decomposition and its
associated solversolve in interface Matrixsolve in class AbstractMatrixB - Matrix with the same number of rows as A, and
the same number of columns as XX - Matrix with a number of rows equal A.numColumns(),
and the same number of columns as Bpublic Vector solve(Vector b, Vector x)
Matrixx = A\b. Not all matrices support this operation, those
that do not throw UnsupportedOperationException. Note
that it is often more efficient to use a matrix decomposition and its
associated solversolve in interface Matrixsolve in class AbstractMatrixb - Vector of size A.numRows()x - Vector of size A.numColumns()public Matrix transSolve(Matrix B, Matrix X)
MatrixX = AT\B. Not all matrices support this
operation, those that do not throw
UnsupportedOperationException. Note that it is often more
efficient to use a matrix decomposition and its associated transpose
solvertransSolve in interface MatrixtransSolve in class AbstractMatrixB - Matrix with a number of rows equal A.numColumns(),
and the same number of columns as XX - Matrix with the same number of rows as A, and
the same number of columns as Bpublic Vector transSolve(Vector b, Vector x)
Matrixx = AT\b. Not all matrices support this
operation, those that do not throw
UnsupportedOperationException. Note that it is often more
efficient to use a matrix decomposition and its associated solvertransSolve in interface MatrixtransSolve in class AbstractMatrixb - Vector of size A.numColumns()x - Vector of size A.numRows()public Iterator<MatrixEntry> iterator()
iterator in interface Iterable<MatrixEntry>iterator in class AbstractMatrixpublic double[] getData()
public Matrix set(Matrix B)
MatrixA=B. The matrices must be of the same sizeset in interface Matrixset in class AbstractMatrixCopyright © 2013. All Rights Reserved.