monolish::vml::min

Create a new CRS matrix with smallest elements of two matrices (C[0:nnz] = min(A[0:nnz], B[0:nnz])) More...

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

Detailed Description

Create a new CRS matrix with smallest elements of two matrices (C[0:nnz] = min(A[0:nnz], B[0:nnz]))

Create a new tensor_CRS matrix with smallest elements of two matrices (C[0:nnz] = min(A[0:nnz], B[0:nnz]))

Function Documentation

min() [1/4]

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

Create a new CRS matrix with smallest elements of two matrices (C[0:nnz] = min(A[0:nnz], B[0:nnz]))

Parameters

A	monolish CRS matrix (size M x N)
B	monolish CRS matrix (size M x N)
C	monolish CRS matrix (size M x N)

Note

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

Warning

A, B, and C must be same non-zero structure

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min() [2/4]

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

min() [3/4]

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

Create a new tensor_CRS matrix with smallest elements of two matrices (C[0:nnz] = min(A[0:nnz], B[0:nnz]))

Parameters

A	monolish tensor_CRS matrix (size M x N)
B	monolish tensor_CRS matrix (size M x N)
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, B, and C must be same non-zero structure

min() [4/4]

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