class for double loop in matrix functions More...
#include <TinyMatrix.hxx>
Static Public Member Functions | |
template<int m, int n, class T0 , class T1 > | |
static void | Init (const TinyVector< T0, m > &x, TinyMatrix< T1, General, m, n > &A) |
Conversion from vector of vectors to matrix. | |
template<int m, int n, class T , class E > | |
static void | WriteText (ostream &out, const TinyMatrixExpression< T, m, n, E > &A) |
writes matrix A in ascii format | |
template<int m, int n, class T , class Prop > | |
static void | Write (ostream &out, const TinyMatrix< T, Prop, m, n > &A) |
writes matrix A in binary format | |
template<int m, int n, class T , class E1 , class E2 > | |
static bool | IsEqual (const TinyMatrixExpression< T, m, n, E1 > &A, const TinyMatrixExpression< T, m, n, E2 > &B) |
template<int m, int n, class T0 , class E0 , class T1 , class E1 , class T2 > | |
static void | Mlt (const TinyMatrixExpression< T0, m, n, E0 > &A, const TinyVectorExpression< T1, n, E1 > &x, T2 &y) |
y = A*x | |
template<int m, int n, int k, class T0 , class E0 , class T1 , class E1 , class T2 , class Prop2 > | |
static void | Mlt (const TinyMatrixExpression< T0, m, n, E0 > &A, const TinyMatrixExpression< T1, n, k, E1 > &B, TinyMatrix< T2, Prop2, m, k > &C) |
C = A*B. | |
template<int m, int n, class T0 , class T1 , class E1 , class T2 , class E2 , class T3 > | |
static void | Rank1Update (const T0 &alpha, const TinyVectorExpression< T1, m, E1 > &x, const TinyVectorExpression< T2, n, E2 > &y, TinyMatrix< T3, General, m, n > &A) |
A = A + alpha * x y^T. | |
template<int m, int n, class T1 , class E1 , class T2 , class E2 , class T3 > | |
static void | Rank1Matrix (const TinyVectorExpression< T1, m, E1 > &x, const TinyVectorExpression< T2, n, E2 > &y, TinyMatrix< T3, General, m, n > &A) |
A = x y^T. | |
template<int m, class T0 , class T1 , class E1 , class T3 > | |
static void | Rank1Update (const T0 &alpha, const TinyVectorExpression< T1, m, E1 > &x, TinyMatrix< T3, Symmetric, m, m > &A) |
A = A + alpha * x x^T. | |
template<int m, class T1 , class E1 , class T3 > | |
static void | Rank1Matrix (const TinyVectorExpression< T1, m, E1 > &x, TinyMatrix< T3, Symmetric, m, m > &A) |
A = x x^T. | |
template<class T , int m> | |
static void | GetMaximumColumn (TinyMatrix< T, General, m, m > &A, int &jmax, T &val) |
returns index jmax for which |A(i, j)| is maximal | |
template<class T , int m> | |
static void | SwapRow (TinyMatrix< T, General, m, m > &A, int i2, T &val) |
swapping rows i and i2 (for pivoting) | |
template<class T , int m> | |
static void | SwapColumn (TinyMatrix< T, General, m, m > &A, int i2, T &val) |
swapping columns i and i2 (for pivoting) | |
template<class T , int m> | |
static void | MltRow (TinyMatrix< T, General, m, m > &A, const T &coef) |
A(i, :) = A(i, :)*coef. | |
template<class T , int m> | |
static void | PerformElimination (TinyMatrix< T, General, m, m > &A, const T &coef, T &val) |
performs Lj = Lj - a_ji/aii Li to eliminate element a_ij | |
template<class T , int m> | |
static void | PerformSolve (TinyMatrix< T, General, m, m > &A, T &val) |
solving by upper matrix | |
template<class T , int m> | |
static void | GetDiagonalCholesky (TinyMatrix< T, Symmetric, m, m > &A, T &val) |
Loop val -= A(k, j)*A(k, j) with k between 0 and j-1. | |
template<class T , int m> | |
static void | ModifyUpperCholesky (TinyMatrix< T, Symmetric, m, m > &A, T &invVal, T &vloc) |
Loop with k between j+1 and n-1. | |
template<class T , class T2 , int m> | |
static void | SolveCholesky (const class_SeldonNoTrans &trans, const TinyMatrix< T, Symmetric, m, m > &A, TinyVector< T2, m > &x) |
double loop for Cholesky resolution and NoTranspose | |
template<class T , class T2 , int m> | |
static void | SolveCholesky (const class_SeldonTrans &trans, const TinyMatrix< T, Symmetric, m, m > &A, TinyVector< T2, m > &x, T2 &val) |
double loop for Cholesky resolution and Transpose | |
template<class T , class T2 , int m> | |
static void | MltCholesky (const class_SeldonTrans &trans, const TinyMatrix< T, Symmetric, m, m > &A, TinyVector< T2, m > &x, T2 &val) |
double loop for Cholesky multiplication and Transpose | |
template<class T , class T2 , int m> | |
static void | MltCholesky (const class_SeldonNoTrans &trans, const TinyMatrix< T, Symmetric, m, m > &A, TinyVector< T2, m > &x) |
double loop for Cholesky multiplication and NoTranspose | |
class for double loop in matrix functions
Definition at line 25 of file TinyMatrix.hxx.