代码搜索:eigenvalue

找到约 684 项符合「eigenvalue」的源代码

代码结果 684
www.eeworm.com/read/367160/9770037

f clarrv.f

SUBROUTINE CLARRV( N, VL, VU, D, L, PIVMIN, $ ISPLIT, M, DOL, DOU, MINRGP, $ RTOL1, RTOL2, W, WERR, WGAP, $ IBLOCK, INDEXW
www.eeworm.com/read/367160/9770859

f slarrv.f

SUBROUTINE SLARRV( N, VL, VU, D, L, PIVMIN, $ ISPLIT, M, DOL, DOU, MINRGP, $ RTOL1, RTOL2, W, WERR, WGAP, $ IBLOCK, INDEXW
www.eeworm.com/read/367160/9771453

f zlarrv.f

SUBROUTINE ZLARRV( N, VL, VU, D, L, PIVMIN, $ ISPLIT, M, DOL, DOU, MINRGP, $ RTOL1, RTOL2, W, WERR, WGAP, $ IBLOCK, INDEXW
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f dlarrv.f

SUBROUTINE DLARRV( N, VL, VU, D, L, PIVMIN, $ ISPLIT, M, DOL, DOU, MINRGP, $ RTOL1, RTOL2, W, WERR, WGAP, $ IBLOCK, INDEXW
www.eeworm.com/read/367160/9779423

f slctsx.f

LOGICAL FUNCTION SLCTSX( AR, AI, BETA ) * * -- LAPACK test routine (version 3.1) -- * Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. * November 2006 * *
www.eeworm.com/read/268065/11155456

c powermethod.c

/* This program implements the power method of finding the dominant * eigenvector and eigenvalue of a matrix. (see the description below) * * This program is compiled using gcc 3.4.2 with mingw
www.eeworm.com/read/267790/11162577

m maxeig.m

%MAXEIG Maximum eigenvalue and the corresponding eigenvector. % [L, Q] = MAXEIG(A) returns the maximum eigenvalue L and the % corresponding eigenvector Q of the square matrix A. Maximum is % in the s
www.eeworm.com/read/192033/8410568

m dpsscalc.m

function [E,V] = dpsscalc(N, W) % DPSSCALC - calculate the Discrete Prolate Spheroidal (Slepian) Sequences % Syntax: [E,V]=dpsscalc(N, W); % % Dpsscalc calculates discrete prolate spheroidal
www.eeworm.com/read/428125/8893843

cpp globalfunc.cpp

// GlobalFunc.cpp: implementation of the CGlobalFunc class. // ////////////////////////////////////////////////////////////////////// /* This file is created by Shiguang Shan at 01.06.2002 to
www.eeworm.com/read/419697/10842868

c alg091.c

/* * POWER METHOD ALGORITHM 9.1 * * To approximate the dominant eigenvalue and an associated * eigenvector of the n by n matrix A given a nonzero vector x: * * INPUT: Dimension n; matr