代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
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www.eeworm.com/read/455115/7377741
m matprint.m
% MATPRINT - prints a matrix with specified format string
%
% Usage: matprint(a, fmt, fid)
%
% a - Matrix to be printed.
% fmt - C style format string to use for each
www.eeworm.com/read/455033/7378593
edp vi.edp
// variationnal inequality
// --------------------------
// Probleme:
// $ - \Delta u = f , \quad u=gd \on \Gamma, \quad u < g $
// algo of Primal-Dual Active set strategy as a semi smoth Newton
www.eeworm.com/read/453267/7423144
m lsvmk.m
function [iter, optCond, time, u] = ...
lsvmk(KM,D,nu,tol,maxIter,alpha);
% LSVMK Langrangian Support Vector Machine algorithm
% LSVMK solves a support vector machine problem using an iterati
www.eeworm.com/read/452713/7434498
cpp xt6-10.cpp
#include
using namespace std;
int main()
{void change(int *p);
int a[5][5],*p,i,j;
cout
www.eeworm.com/read/451547/7461895
m ksvdd.m
%KSVDD Support Vector Data Description on general kernel matrix
%
% W = KSVDD(X,FRACERR,WK)
%
% Train an SVDD on the data X, which is first mapped by mapping WK
% (see for possibilities myproxm
www.eeworm.com/read/451547/7461936
m mog_p.m
function p = mog_P(x,covtype,means,invcovs,priors)
%MOG_P Compute the probability density of a Mixture of Gaussians
%
% P = MOG_P(X,COVTYPE,MEANS,INVCOVS,PRIORS)
%
% Calculate the probability de
www.eeworm.com/read/451547/7461954
m dlpdda.m
function W = dlpdda(x,nu,usematlab)
%DLPDDA Distance Linear Programming Data Description attracted by the Average distance
%
% W = DLPDDA(D,NU)
%
% This one-class classifier works directly on th
www.eeworm.com/read/451547/7461963
m dd_aic.m
function e = dd_aic(w,x)
%DD_AIC compute the Akaike Information Criterion for MoG
%
% E = DD_AIC(W,X)
%
% Compute the Akaike Information Criterion of the Mixture of
% Gaussians. We assume we have
www.eeworm.com/read/450939/7474373
m computelkflowparms.m
% [Ht, G]=ComputeLKFlowParms(img)
%
% Computes the optical flow parameters. The image is derived in DX and DY
% directions and matrix G is computed.
%
% Inputs:
% img - The image to compute opti