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/353831/10414810
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/278154/10561427
c xludcmp.c
/* Driver for routine ludcmp */
#include
#include
#define NRANSI
#include "nr.h"
#include "nrutil.h"
#define NP 20
#define MAXSTR 80
int main(void)
{
int j,k,l,m,
www.eeworm.com/read/278154/10561782
c xqrdcmp.c
/* Driver for routine qrdcmp */
#include
#include
#define NRANSI
#include "nr.h"
#include "nrutil.h"
#define NP 20
#define MAXSTR 80
int main(void)
{
int i,j,k,l,
www.eeworm.com/read/349646/10808604
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
www.eeworm.com/read/349646/10809455
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
www.eeworm.com/read/349479/10825236
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/418695/10935452
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/418342/10952865
m dftuv.m
function [U, V] = dftuv(M, N)
%DFTUV Computes meshgrid frequency matrices.
% [U, V] = DFTUV(M, N) computes meshgrid frequency matrices U and
% V. U and V are useful for computing frequency-dom
www.eeworm.com/read/271760/10981498
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
www.eeworm.com/read/271760/10981506
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