代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
代码结果 10,000
www.eeworm.com/read/366144/9829591
c zgghrd.c
#include "f2c.h"
/* Subroutine */ int zgghrd_(char *compq, char *compz, integer *n, integer *
ilo, integer *ihi, doublecomplex *a, integer *lda, doublecomplex *b,
integer *ldb, doublecomplex *
www.eeworm.com/read/366144/9829631
c zlanhs.c
#include "f2c.h"
doublereal zlanhs_(char *norm, integer *n, doublecomplex *a, integer *lda,
doublereal *work)
{
/* -- LAPACK auxiliary routine (version 2.0) --
Univ. of Tennessee,
www.eeworm.com/read/365849/9844387
m xlinear.m
function obj=xlinear(varargin)
% Holds a matrix which forms a linear expression.
%
% Syntax: (* = optional)
%
% obj = xlinear(expression, evalvar*, varsize*);
%
% In arguments:
%
% 1. express
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m initgrad.m
function grad=initgrad(obj,diffvar)
% Generates a gradient with respect to the variable represented by the integer given in 'diffvar'
%
% Syntax: (* = optional)
%
% grad = initgrad(obj, diffvar);
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m danl.m
function obj = pfsys(varargin)
% Constructor for the DANL (Discrete Additive Non-Linear) model
%
% x(t+T) = f(x,t) + gu(x,t)*u(t) + gw(x,t)*w(t)
% y(t) = h(x,t) + hu(x,t)*u(t) + e(t)
%
% Synta
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m sima1.m
function [nw,a1,i] = sima1(w,p,lr,rho,pf)
%SIMA1 ART1 simulation function.
% Each input vector is presented to the network one at a time.
% (See COMPET, HARDLIM)
%
% [NW,A1,
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m exa3_1.m
diff('cos(x)') % differentiate cos(x) with respect to x
M=sym('[a,b;c,d]') % create a symbolic matrix M
det(M) % find the determinant of the symbolic matrix M
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m exa3_2.m
%M=[a,b;c,d] % M is a numeric matrix using value of a through d
M='[a,b;c,d]' % M is a character string， but not a symbolic matrix
M=sym('[a,b;c,d]') % M is a symbolic matrix
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m sima1.m
function [nw,a1,i] = sima1(w,p,lr,rho,pf)
%SIMA1 ART1 simulation function.
% Each input vector is presented to the network one at a time.
% (See COMPET, HARDLIM)
%
% [NW,A1,
www.eeworm.com/read/365357/9866379
m plu.m
function [P,L,U,pivcol,sign] = plu(A)
%PLU Pivoting, rectangular, LU factorization.
% [P,L,U] = PLU(A), for a rectangular matrix A, uses Gaussian elimination
% to compute a permutation matrix P, a