monolish::vml::min

Create a new CRS matrix with smallest elements of CRS matrix or scalar (C[0:nnz] = min(A[0:nnz], alpha)) More...

Functions
void	monolish::vml::min (const matrix::CRS< double > &A, const double alpha, matrix::CRS< double > &C)
	Create a new CRS matrix with smallest elements of CRS matrix or scalar (C[0:nnz] = min(A[0:nnz], alpha)) More...
void	monolish::vml::min (const matrix::CRS< float > &A, const float alpha, matrix::CRS< float > &C)
void	monolish::vml::min (const tensor::tensor_CRS< double > &A, const double alpha, tensor::tensor_CRS< double > &C)
	Create a new tensor_CRS matrix with smallest elements of tensor_CRS matrix or scalar (C[0:nnz] = min(A[0:nnz], alpha)) More...
void	monolish::vml::min (const tensor::tensor_CRS< float > &A, const float alpha, tensor::tensor_CRS< float > &C)

Detailed Description

Create a new CRS matrix with smallest elements of CRS matrix or scalar (C[0:nnz] = min(A[0:nnz], alpha))

Create a new tensor_CRS matrix with smallest elements of tensor_CRS matrix or scalar (C[0:nnz] = min(A[0:nnz], alpha))

Function Documentation

min() [1/4]

void monolish::vml::min	(	const matrix::CRS< double > &	A,
		const double	alpha,
		matrix::CRS< double > &	C
	)

Create a new CRS matrix with smallest elements of CRS matrix or scalar (C[0:nnz] = min(A[0:nnz], alpha))

Parameters

A	monolish CRS matrix (size M x N)
alpha	scalar value
C	monolish CRS matrix (size M x N)

Note

• # of computation: nnz
• Multi-threading: true
• GPU acceleration: true
  • # of data transfer: 0

Warning

A and C must be same non-zero structure

min() [2/4]

void monolish::vml::min	(	const matrix::CRS< float > &	A,
		const float	alpha,
		matrix::CRS< float > &	C
	)

min() [3/4]

void monolish::vml::min	(	const tensor::tensor_CRS< double > &	A,
		const double	alpha,
		tensor::tensor_CRS< double > &	C
	)

Create a new tensor_CRS matrix with smallest elements of tensor_CRS matrix or scalar (C[0:nnz] = min(A[0:nnz], alpha))

Parameters

A	monolish tensor_CRS matrix (size M x N)
alpha	scalar value
C	monolish tensor_CRS matrix (size M x N)

Note

• # of computation: nnz
• Multi-threading: true
• GPU acceleration: true
  • # of data transfer: 0

Warning

A and C must be same non-zero structure

min() [4/4]

void monolish::vml::min	(	const tensor::tensor_CRS< float > &	A,
		const float	alpha,
		tensor::tensor_CRS< float > &	C
	)