代码搜索:MATLAB LMD
找到约 10,000 项符合「MATLAB LMD」的源代码
代码结果 10,000
www.eeworm.com/read/222288/14697995
m difflim.m
function [L,n]=difflim(f,x,toler)
%Input - f is the function
% - x is the differentiation point
% - toler is the desired tolerance
%Output - L=[H' D' E']: H is the vector
www.eeworm.com/read/222288/14698010
m finedif.m
function U = finedif(f,g,a,b,c,n,m)
%Input - f=u(x,0)
% - g=ut(x,0)
% - a and b right endpoints of [0,a] and [0,b]
% - c the constant in the wave equation
%
www.eeworm.com/read/222288/14698016
m lagran.m
function [C,L]=lagran(X,Y)
%Input - X is a vector that contains a list of abscissas
% - Y is a vector that contains a list of ordinates
%Output - C is a matrix that contains the coeffic
www.eeworm.com/read/222288/14698029
m simprl.m
function s=simprl(f,a,b,M)
%Input - f is the integrand
% - a and b are upper and lower limits of integration
% - M is the number of subintervals
%Output - s is the simps
www.eeworm.com/read/222288/14698047
m traprl.m
function s=traprl(f,a,b,M)
%Input - f is the integrand
% - a and b are upper and lower limits of integration
% - M is the number of subintervals
%Output - s is the t
www.eeworm.com/read/122236/14712285
readme
Thursday, October 26, 1995
README for Neural Network Design Demonstrations
The book "Neural Network Design" is accompanied by 58 demonstrations which can be run from within MATLAB. References
www.eeworm.com/read/220928/14782566
dat bookinfo.dat
[General Information]
书名=精通 MATLAB 6.5版
作者=
页数=631
SS号=11119962
出版日期=
www.eeworm.com/read/218840/14904375
txt readme.txt
Higher-Order Spectral Analysis (HOSA) Toolbox.
Version 2.0.3 (R12 compliant) 27 Dec 2000
There are three steps to installing the HOSA toolbox.
(a) Download the SETUP.EXE file to your ma
www.eeworm.com/read/117561/14915710
c fdtd.c
/* FTDT - calculater - main program*/
#include
#include
#include
#include
#include
#include
#include "engine.h"
#define BUFSIZE 256
/
www.eeworm.com/read/217557/14958547
txt install instructions.txt
Install Intructions
**********************************************************
1. If you have installed a previous version of CheckMate, copy any CheckMate models you have created and saved in th