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/407093/11430141
c slatmr.c
/* -- translated by f2c (version 19940927).
You must link the resulting object file with the libraries:
-lf2c -lm (in that order)
*/
#include "f2c.h"
/* Table of constant values */
static in
www.eeworm.com/read/405930/11454707
tex if_background.tex
\documentclass[a4paper,12pt]{article}
\usepackage{times,epsfig,amsmath,psfrag,mathshortcuts,multirow}
\setlength{\oddsidemargin}{-7mm}
\setlength{\evensidemargin}{-7mm}
\setlength{\topmargin}{-14m
www.eeworm.com/read/405800/11456639
m lsvm.m
function [iter, optCond, time, w, gamma] = lsvm(A,D,nu,tol,maxIter,alpha, ...
perturb,normalize);
% LSVM Langrangian Support Vector Machine algorithm
% LSVM solves a support vector machine
www.eeworm.com/read/402842/11527037
m ifrat.m
function f = ifrat(r, m)
% IFRAT Inverse Finite Radon Transform
%
% f = ifrat(r, [m])
%
% Input:
% r: Radon coefficients in P by (P+1) matrix.
% One projection per each column. P is a pri
www.eeworm.com/read/401335/11559179
m myhilb.m
function[A,B]=myhilb(n,m)
% MYHILB 生成一个Hilbert矩阵
% [A,B]=myhilb(n,m)
% where
% n,m are size of the Hilbert matrix,if only one
% argument given,then a square matrix is generated
% A is the Hil
www.eeworm.com/read/401335/11559185
m myhilb1.m
function[A,B]=myhilb(n,m)
%问题：生成一个Hilbert矩阵，该矩阵是一个n×m矩阵，它的第i行
%第j列的元素为1/(i+j-1)。如果想在编写的函数中实现下面几点：
%1）如果只给出一个输入参数，则会自动生成一个方阵，即有m=n
%2）如果想返回两个参数A和B，则返回的B矩阵为A矩阵的平方，
% 即B=A'A
%3)在函数中给出合适的帮助信息，包括基本 ...
www.eeworm.com/read/400646/11570985
dat vfft.dat
./vfft
Verify Fast Fourier Transform Package
Verify the computed FFT of the AP series x[j]=j
j = 0..7
Performing Complex FFT of AP series (IM part being set to 0)
It took 0.00 sec to perform
www.eeworm.com/read/400645/11570992
dat vsvd.dat
./vsvd
Testing Singular Value Decompositions of rectangular matrices
Rotated by PI/2 Matrix Diag(1,4,9)
SVD-decompose matrix A and check if we can compose it back
original matrix follows
Matr
www.eeworm.com/read/400577/11572980
m nbayesc.m
%NBAYESC Bayes Classifier for given normal densities
%
% W = NBAYESC(U,G)
%
% INPUT
% U Dataset of means of classes
% G Covariance matrices (optional; default: identity matrices)
%
% OUTP
www.eeworm.com/read/400577/11573348
m kcentres.m
%KCENTRES Finds K center objects from a distance matrix
%
% [LAB,J,DM] = KCENTRES(D,K,N,FID)
%
% INPUT
% D Distance matrix between, e.g. M objects (may be a dataset)
% K Number of center