MyraMath
Classes | Functions
gemv.h File Reference

Signatures for sparse matrix * dense vector multiplies. All delegate to gemm() under the hood. More...

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

Go to the source code of this file.

Classes

class  myra::CSparseMatrixRange< Number >
 Represents a const SparseMatrixRange. More...
 
class  myra::CVectorRange< Number >
 Represents a const VectorRange. More...
 
class  myra::VectorRange< Number >
 Represents a mutable VectorRange. More...
 
class  myra::Vector< Number >
 Tabulates a vector of length N, allows random access. More...
 

Functions

void myra::gemv_inplace (const VectorRange< NumberS > &c, const CSparseMatrixRange< NumberS > &A, char op, const CVectorRange< NumberS > &b, NumberS alpha, NumberS beta)
 Performs c = alpha*op(A)*b + beta*c, for sparse A and column vector b/c.
 
void myra::gemv_inplace (const VectorRange< NumberD > &c, const CSparseMatrixRange< NumberD > &A, char op, const CVectorRange< NumberD > &b, NumberD alpha, NumberD beta)
 
void myra::gemv_inplace (const VectorRange< NumberC > &c, const CSparseMatrixRange< NumberC > &A, char op, const CVectorRange< NumberC > &b, NumberC alpha, NumberC beta)
 
void myra::gemv_inplace (const VectorRange< NumberZ > &c, const CSparseMatrixRange< NumberZ > &A, char op, const CVectorRange< NumberZ > &b, NumberZ alpha, NumberZ beta)
 
Vector< NumberS > myra::gemv (const CSparseMatrixRange< NumberS > &A, char op, const CVectorRange< NumberS > &b, NumberS alpha=1)
 Returns alpha*op(A)*b, for sparse A and column vector b. Note alpha is defaulted to 1.
 
Vector< NumberD > myra::gemv (const CSparseMatrixRange< NumberD > &A, char op, const CVectorRange< NumberD > &b, NumberD alpha)
 
Vector< NumberC > myra::gemv (const CSparseMatrixRange< NumberC > &A, char op, const CVectorRange< NumberC > &b, NumberC alpha)
 
Vector< NumberZ > myra::gemv (const CSparseMatrixRange< NumberZ > &A, char op, const CVectorRange< NumberZ > &b, NumberZ alpha)
 
Vector< NumberS > myra::gemv (const CSparseMatrixRange< NumberS > &A, const CVectorRange< NumberS > &b, NumberS alpha=1)
 Returns c = alpha*A*b, for sparse A and column vector b. Note op is assumed 'N' and alpha is defaulted to 1.
 
Vector< NumberD > myra::gemv (const CSparseMatrixRange< NumberD > &A, const CVectorRange< NumberD > &b, NumberD alpha)
 
Vector< NumberC > myra::gemv (const CSparseMatrixRange< NumberC > &A, const CVectorRange< NumberC > &b, NumberC alpha)
 
Vector< NumberZ > myra::gemv (const CSparseMatrixRange< NumberZ > &A, const CVectorRange< NumberZ > &b, NumberZ alpha)
 
Vector< NumberS > myra::operator* (const CSparseMatrixRange< NumberS > &A, const CVectorRange< NumberS > &b)
 Returns A*b, for sparse A and column vector b.
 
Vector< NumberD > myra::operator* (const CSparseMatrixRange< NumberD > &A, const CVectorRange< NumberD > &b)
 
Vector< NumberC > myra::operator* (const CSparseMatrixRange< NumberC > &A, const CVectorRange< NumberC > &b)
 
Vector< NumberZ > myra::operator* (const CSparseMatrixRange< NumberZ > &A, const CVectorRange< NumberZ > &b)
 
void myra::gemv_inplace (const VectorRange< NumberS > &c, const CVectorRange< NumberS > &a, const CSparseMatrixRange< NumberS > &B, char op, NumberS alpha, NumberS beta)
 Performs c = alpha*a*op(B) + beta*c, for row vector a/c and sparse B.
 
void myra::gemv_inplace (const VectorRange< NumberD > &c, const CVectorRange< NumberD > &a, const CSparseMatrixRange< NumberD > &B, char op, NumberD alpha, NumberD beta)
 
void myra::gemv_inplace (const VectorRange< NumberC > &c, const CVectorRange< NumberC > &a, const CSparseMatrixRange< NumberC > &B, char op, NumberC alpha, NumberC beta)
 
void myra::gemv_inplace (const VectorRange< NumberZ > &c, const CVectorRange< NumberZ > &a, const CSparseMatrixRange< NumberZ > &B, char op, NumberZ alpha, NumberZ beta)
 
Vector< NumberS > myra::gemv (const CVectorRange< NumberS > &a, const CSparseMatrixRange< NumberS > &B, char op, NumberS alpha=1)
 Returns alpha*a*op(B), for row vector a and sparse B. Note alpha is defaulted to 1.
 
Vector< NumberD > myra::gemv (const CVectorRange< NumberD > &a, const CSparseMatrixRange< NumberD > &B, char op, NumberD alpha)
 
Vector< NumberC > myra::gemv (const CVectorRange< NumberC > &a, const CSparseMatrixRange< NumberC > &B, char op, NumberC alpha)
 
Vector< NumberZ > myra::gemv (const CVectorRange< NumberZ > &a, const CSparseMatrixRange< NumberZ > &B, char op, NumberZ alpha)
 
Vector< NumberS > myra::gemv (const CVectorRange< NumberS > &a, const CSparseMatrixRange< NumberS > &B, NumberS alpha=1)
 Returns c = alpha*b*A, for row vector a and sparse B. Note op is assumed 'N' and alpha is defaulted to 1.
 
Vector< NumberD > myra::gemv (const CVectorRange< NumberD > &a, const CSparseMatrixRange< NumberD > &B, NumberD alpha)
 
Vector< NumberC > myra::gemv (const CVectorRange< NumberC > &a, const CSparseMatrixRange< NumberC > &B, NumberC alpha)
 
Vector< NumberZ > myra::gemv (const CVectorRange< NumberZ > &a, const CSparseMatrixRange< NumberZ > &B, NumberZ alpha)
 
Vector< NumberS > myra::operator* (const CVectorRange< NumberS > &a, const CSparseMatrixRange< NumberS > &B)
 Returns a*B, for row vector a and sparse B.
 
Vector< NumberD > myra::operator* (const CVectorRange< NumberD > &a, const CSparseMatrixRange< NumberD > &B)
 
Vector< NumberC > myra::operator* (const CVectorRange< NumberC > &a, const CSparseMatrixRange< NumberC > &B)
 
Vector< NumberZ > myra::operator* (const CVectorRange< NumberZ > &a, const CSparseMatrixRange< NumberZ > &B)
 

Detailed Description

Signatures for sparse matrix * dense vector multiplies. All delegate to gemm() under the hood.