代码搜索：factor
找到约 6,651 项符合「factor」的源代码
代码结果 6,651
www.eeworm.com/read/441402/7671017
m ltdl.m
function [L, D] = ltdl(Q, n)
% LTDL factorization of Q into L^T D L
% Q symmetric n by n matrix to be factored
% L n by n factor matrix (strict lower triangular)
% D diagonal n-vect
www.eeworm.com/read/397477/8043441
m expand.m
function te = expand(t,f)
% Expand spatially an image t in a factor f
% in X and in Y.
% t may be complex.
% It fills in with zeros in the Fourier domain.
% te = expand(t, f)
% See also: shrink.m
%
www.eeworm.com/read/243870/12911160
h smallfilter.h
/* Included by resamplesubs.c */
#define SMALL_FILTER_NMULT ((HWORD)13)
#define SMALL_FILTER_SCALE 13128 /* Unity-gain scale factor */
#define SMALL_FILTER_NWING 1536 /* Filter table length */
static
www.eeworm.com/read/311368/13631669
m rls.m
function [e,h]=rls(y,fl,lambda,sigma);
% [e,h]=rls(y,fl,lambda,sigma)
% y = input signal
% fl = filter length
% lambda = forgetting factor (0
www.eeworm.com/read/304266/13797070
m diff_grating1.m
clear all ;close all;clc;
% wavelength
lambda=0.000632;
%the distance from grating to the image plane,in general it's focus length
f=1000;
%modulate factor
m=1;
f0=2;% grating period
L=5;% gra
www.eeworm.com/read/140847/5779116
m mfa.m
% function [Lh,Ph,Mu,Pi,LL]=mfa(X,M,K,cyc,tol);
%
% Maximum Likelihood Mixture of Factor Analysis using EM
%
% X - data matrix
% M - number of mixtures (default 1)
% K - number of factors in each mix
www.eeworm.com/read/133943/5897302
m mfa.m
% function [Lh,Ph,Mu,Pi,LL]=mfa(X,M,K,cyc,tol);
%
% Maximum Likelihood Mixture of Factor Analysis using EM
%
% X - data matrix
% M - number of mixtures (default 1)
% K - number of factors in each mix
www.eeworm.com/read/108165/6185026
java resourcemapfactorybean.java
package org.springframework.context.support;
import java.util.Enumeration;
import java.util.HashMap;
import java.util.Map;
import java.util.Properties;
import org.springframework.beans.factor
www.eeworm.com/read/101083/6240265
cpp normtest.cpp
#include
#include
#define ANGLE_FACTOR (180.0 / 3.141592654)
struct Plane {
double a, b, c, d;
};
struct Vertex {
double x, y, z;
};
struct Matrix {
double M11,
www.eeworm.com/read/347943/11626598
c symfctmex.c
/*
L = symfctmex(X, perm)
Computes sparse symbolic factor L.L, updated permutation L.perm,
super-node partition L.xsuper.
Invokes SPARSPAK-A (ANSI FORTRAN) RELEASE III,
by Joseph L