代码搜索：Matrices
找到约 3,616 项符合「Matrices」的源代码
代码结果 3,616
www.eeworm.com/read/261198/11659592
m plot_matrix.m
function plot_matrix(G, bw)
% PLOT_MATRIX Plot a 2D matrix as a grayscale image, and label the axes
%
% plot_matrix(M)
%
% For 0/1 matrices (eg. adjacency matrices), use
% plot_matrix(M,1)
if nargin
www.eeworm.com/read/156956/11750398
m t_jacobian.m
function t_jacobian(quiet)
%T_JACOBIAN Numerical tests of partial derivative code.
% MATPOWER
% $Id: t_jacobian.m,v 1.2 2004/08/23 20:59:46 ray Exp $
% by Ray Zimmerman, PSERC Cornell
% Copy
www.eeworm.com/read/259727/11770775
m t_jacobian.m
function t_jacobian(quiet)
%T_JACOBIAN Numerical tests of partial derivative code.
% MATPOWER
% $Id: t_jacobian.m,v 1.3 2005/07/08 18:58:38 ray Exp $
% by Ray Zimmerman, PSERC Cornell
% Copy
www.eeworm.com/read/257911/11907261
m t_jacobian.m
function t_jacobian(quiet)
%T_JACOBIAN Numerical tests of partial derivative code.
% MATPOWER
% $Id: t_jacobian.m,v 1.3 2005/07/08 18:58:38 ray Exp $
% by Ray Zimmerman, PSERC Cornell
% Copy
www.eeworm.com/read/343227/11962618
m c_dgaus.m
function dens = c_dgaus(X, mu, Sigma)
%c_dgaus Computes a set of multivariate normal density values
% in the case of diagonal covariance matrices (MEX-file).
% Use : dens = c_dgaus(X, mu, Sigma)
www.eeworm.com/read/342008/12047284
m ldc.m
%LDC Linear Discriminant Classifier
%
% W = ldc(A,r,s)
%
% Computation of a linear discriminant between the classes of the
% dataset A assuming normal densities with equal covariance
% matrices.
www.eeworm.com/read/230010/14309227
cpp mat_mult.cpp
#include
/*mat_mult-矩阵相乘子程序
*把n×p的矩阵A乘于q×r的矩阵B, 即C=A*B，得到n×r的矩阵C
*/
void mat_mult (float *A, int n, int p, float *B, int q, int r, float *C)
{
int i,j,k;
if (p != q)
{
www.eeworm.com/read/228533/14380305
c fmatmul.c
/* FILENAME: FastMatMul.c [revised 18 AUG 90]
AUTHOR: Kelvin Thompson
DESCRIPTION: Routines to multiply different kinds of 4x4
matrices as fast as possible. Based on ideas on page
www.eeworm.com/read/123946/14605580
m faddf.m
function fout=faddf(w,f1,f2)
%FADDF Add two MVFR matrices
% FADDF(W,F1,F2) adds F1 and F2
% F1 and F2 are both MVFR matrices
% and W the associated frequency vector.
% Se
www.eeworm.com/read/123946/14605619
m rpvmake.m
% RPVMAKE Make RPV state-space model in workspace and on disk.
%
% This is a script file which creates the state-space matrices of the
% RPV model given in the Appendix of 'Multivariable Feedback