代码搜索：sparse

找到约 3,324 项符合「sparse」的源代码

代码结果 3,324
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c zsp_blas3.c

/* * -- Distributed SuperLU routine (version 1.0) -- * Lawrence Berkeley National Lab, Univ. of California Berkeley. * September 1, 1999 * */ /* * File name: sp_blas3.c * Purpose: Sparse BLA
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www.eeworm.com/read/309167/13680388

c dsp_blas3.c

/* * -- Distributed SuperLU routine (version 1.0) -- * Lawrence Berkeley National Lab, Univ. of California Berkeley. * September 1, 1999 * */ /* * File name: sp_blas3.c * Purpose: Sparse BLA
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www.eeworm.com/read/309167/13680425

c zsp_blas2.c

/* * -- Distributed SuperLU routine (version 1.0) -- * Lawrence Berkeley National Lab, Univ. of California Berkeley. * September 1, 1999 * */ /* * File name: sp_blas2.c * Purpose: Sparse BLA
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www.eeworm.com/read/305244/13776217

m makeparitychk.m

function [c, newH] = makeParityChk(dSource, H, strategy) % Generate parity check vector bases on LDPC matrix H using sparse LU decomposition % % dSource : Binary source (0/1) % H : LDPC ma
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www.eeworm.com/read/492905/6413752

sid2

- Introduction sis2: sparse svd via subpspace iteration using A'A eigensystems. sis2.c is an ANSI-C code designed to find several of the largest eigenvalues and eigenvectors of a re
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www.eeworm.com/read/492905/6413813

bld2

- Introduction bls2: sparse svd via hybrid block Lanczos procedure for eigensystems of the form A'A. bls2.c is an ANSI-C code designed to compute singular values and singular
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www.eeworm.com/read/492905/6413814

tmd2

- Introduction tms2: sparse svd via trace minimization using A'A eigensystems. tms2.c is an ANSI-C code designed to find several of the largest eigenvalues and eigenvectors of a r
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www.eeworm.com/read/487877/6501339

vc makefile.vc

# # MS Visual C Makefile for Sparse Bundle Adjustment library & demo program # At the command prompt, type # nmake /f Makefile.vc # # NOTE: To use this, you must have MSVC installed and properly # con
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www.eeworm.com/read/487877/6501348

vc makefile.vc

# # MS Visual C Makefile for Sparse Bundle Adjustment demo program # At the command prompt, type # nmake /f Makefile.vc # # NOTE: To use this, you must have MSVC installed and properly # configured fo
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www.eeworm.com/read/481892/6632120

m demo.m

% repetition code and convolutional code using Belief Propagation Inference % decoding on AWGN channel using matlab or octave if sparse matrix support % is added. % V 1.1 04/15/05 % Mail comments to J
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