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github.com/brrm/cvx
matrix
calgo
package
Version:
v0.3.0
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Published: Sep 17, 2024
License: LGPL-3.0, LGPL-3.0
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Imports: 2
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Imported by: 0
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Index
Constants
Variables
Functions
BlkMult(C, A, B, alpha, ldC, ldA, ldB, M, N, P, S, L, R, E)
BlkMultVp(C, A, B, alpha, ldC, ldA, ldB, M, N, P, S, L, R, E, vlen)
Mult(C, A, B, alpha, ldC, ldA, ldB, M, N, P)
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Documentation
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func BlkMult(C, A, B []float64, alpha float64, ldC, ldA, ldB, M, N, P, S, L, R, E int)
func BlkMultVp(C, A, B []float64, alpha float64, ldC, ldA, ldB, M, N, P, S, L, R, E, vlen int)
func Mult(C, A, B []float64, alpha float64, ldC, ldA, ldB, M, N, P int)
func BlkMult(C, A, B []float64 , alpha float64 , ldC, ldA, ldB, M, N, P, S, L, R, E int )
C += alpha*A*B for block defined by rows [R:E] and columns [S:L].
C is M*N, A is M*P, B is P*N and 0 <= L < S < N and 0 <= R < E < M
func BlkMultVp(C, A, B []float64 , alpha float64 , ldC, ldA, ldB, M, N, P, S, L, R, E, vlen int )
C += alpha*A*B for block defined by rows [R:E] and columns [S:L].
C is M*N, A is M*P, B is P*N and 0 <= L < S < N and 0 <= R < E < M
Panels in A and B are accessed in vlen blocks and accumulated to C.
Calculate C +=alpha*A*B where C is M*N, A is M*P, B is P*N and alpha is scalar.
Arrays C, A, B are column major order matrix data arrays.
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