MyraMath
Classes
syr2k.h File Reference

Routines for symmetric rank-2k updates, a specialized form of Matrix*Matrix multiplication. More...

#include <myramath/utility/Number.h>
Include dependency graph for syr2k.h:

Go to the source code of this file.

Classes

class  myra::Matrix< Number >
 Tabulates an IxJ matrix. Allows random access, has column major layout to be compatible with BLAS/LAPACK. More...
 
class  myra::MatrixRange< Number >
 Represents a mutable MatrixRange. More...
 
class  myra::CMatrixRange< Number >
 Represents a const MatrixRange. More...
 
class  myra::LowerMatrix< Number >
 Stores a lower triangular matrix in rectangular packed format. More...
 
class  myra::LowerMatrixRange< Number >
 Represents a mutable LowerMatrixRange. More...
 

Functions

void myra::syr2k_inplace (const MatrixRange< NumberS > &C, char uplo, const CMatrixRange< NumberS > &A, const CMatrixRange< NumberS > &B, char op='N', NumberS alpha=1, NumberS beta=0)
 Updates C = beta*C + alpha*op(A)*transpose(op(B)) + alpha*op(B)*transpose(op(A)), touching only the specified triangle of C.
 
void myra::syr2k_inplace (const MatrixRange< NumberD > &C, char uplo, const CMatrixRange< NumberD > &A, const CMatrixRange< NumberD > &B, char op, NumberD alpha, NumberD beta)
 Updates C = beta*C + alpha*op(A)*transpose(op(B)) + alpha*op(B)*transpose(op(A)), touching only the specified triangle of C.
 
void myra::syr2k_inplace (const MatrixRange< NumberC > &C, char uplo, const CMatrixRange< NumberC > &A, const CMatrixRange< NumberC > &B, char op, NumberC alpha, NumberC beta)
 Updates C = beta*C + alpha*op(A)*transpose(op(B)) + alpha*op(B)*transpose(op(A)), touching only the specified triangle of C.
 
void myra::syr2k_inplace (const MatrixRange< NumberZ > &C, char uplo, const CMatrixRange< NumberZ > &A, const CMatrixRange< NumberZ > &B, char op, NumberZ alpha, NumberZ beta)
 Updates C = beta*C + alpha*op(A)*transpose(op(B)) + alpha*op(B)*transpose(op(A)), touching only the specified triangle of C.
 
void myra::syr2k_inplace (const LowerMatrixRange< NumberS > &C, const CMatrixRange< NumberS > &A, const CMatrixRange< NumberS > &B, char op='N', NumberS alpha=1, NumberS beta=0)
 Updates C = beta*C + alpha*op(A)*transpose(op(B)) + alpha*op(B)*transpose(op(A))
 
void myra::syr2k_inplace (const LowerMatrixRange< NumberD > &C, const CMatrixRange< NumberD > &A, const CMatrixRange< NumberD > &B, char op, NumberD alpha, NumberD beta)
 Updates C = beta*C + alpha*op(A)*transpose(op(B)) + alpha*op(B)*transpose(op(A))
 
void myra::syr2k_inplace (const LowerMatrixRange< NumberC > &C, const CMatrixRange< NumberC > &A, const CMatrixRange< NumberC > &B, char op, NumberC alpha, NumberC beta)
 Updates C = beta*C + alpha*op(A)*transpose(op(B)) + alpha*op(B)*transpose(op(A))
 
void myra::syr2k_inplace (const LowerMatrixRange< NumberZ > &C, const CMatrixRange< NumberZ > &A, const CMatrixRange< NumberZ > &B, char op, NumberZ alpha, NumberZ beta)
 Updates C = beta*C + alpha*op(A)*transpose(op(B)) + alpha*op(B)*transpose(op(A))
 
LowerMatrix< NumberS > myra::syr2k (const CMatrixRange< NumberS > &A, const CMatrixRange< NumberS > &B, char op='N', NumberS alpha=1)
 Returns alpha*op(A)*transpose(op(B)) + alpha*op(B)*transpose(op(A)), alpha is defaulted to 1.
 
LowerMatrix< NumberD > myra::syr2k (const CMatrixRange< NumberD > &A, const CMatrixRange< NumberD > &B, char op, NumberD alpha)
 Returns alpha*op(A)*transpose(op(B)) + alpha*op(B)*transpose(op(A)), alpha is defaulted to 1.
 
LowerMatrix< NumberC > myra::syr2k (const CMatrixRange< NumberC > &A, const CMatrixRange< NumberC > &B, char op, NumberC alpha)
 Returns alpha*op(A)*transpose(op(B)) + alpha*op(B)*transpose(op(A)), alpha is defaulted to 1.
 
LowerMatrix< NumberZ > myra::syr2k (const CMatrixRange< NumberZ > &A, const CMatrixRange< NumberZ > &B, char op, NumberZ alpha)
 Returns alpha*op(A)*transpose(op(B)) + alpha*op(B)*transpose(op(A)), alpha is defaulted to 1.
 

Detailed Description

Routines for symmetric rank-2k updates, a specialized form of Matrix*Matrix multiplication.

Four possibilies for op, each with a different effect:

'N' -> C = beta*C + alpha*A*transpose(B) + alpha*B*transpose(A) 'T' -> C = beta*C + alpha*transpose(A)*B + alpha*transpose(B)*A 'H' -> C = beta*C + alpha*hermitian(A)*conjugate(B) + alpha*hermitian(B)*conjugate(A) 'C' -> C = beta*C + alpha*conjugate(A)*hermitian(B) + alpha*conjugate(B)*hermitian(A)