代码搜索:M

找到约 10,000 项符合「M」的源代码

代码结果 10,000
www.eeworm.com/read/253219/12239438

m4 m4.m4

# Copyright 2000 Free Software Foundation, Inc. # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Fr
www.eeworm.com/read/339251/12245907

m data16m.m

% data16m.m (16 Machine System Data) % This is a 16-machine system with 86 transmission lines and % 68 buses. Data are extracted from the GE final report % entitled "Singular Perturbations, Coheren
www.eeworm.com/read/339239/12248233

m my_yprime_m.m

function yp = yprime(t,y) % Differential equation system for restricted three body problem. % Think of a small third body in orbit about the earth and moon. % The coordinate system moves with the e
www.eeworm.com/read/252458/12281795

m gen_m_seq.m

function [seq] = gen_m_seq(connections); %***************************************** % connections:反馈系数 % 寄存器初始化为[0......0 1] %***************************************** m = length(connections); %
www.eeworm.com/read/150080/12316731

m m6_12.m

%m6_12.m clc clf clear num=[2]; den=poly([0 -3.5 -10.34]); sys=tf(num,den) pos=input('Please type POS '); z=(-log(pos/100))/(
www.eeworm.com/read/250122/12429887

m my_yprime_m.m

function yp = yprime(t,y) % Differential equation system for restricted three body problem. % Think of a small third body in orbit about the earth and moon. % The coordinate system moves with the e
www.eeworm.com/read/336521/12439612

m m2htmlpwd.m

%M2HTMLPWD - create html documentation of files in current directory % % M2HTML must be on the matlab path % available from http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=
www.eeworm.com/read/336314/12451326

m nnd12m.m

function nnd12m(cmd,arg1) %NND12M Marquardt backpropagation demonstration. % % This demonstration requires the Neural Network Toolbox. % First Version, 8-31-95. %=============================
www.eeworm.com/read/130698/14177435

m nnd12m.m

function nnd12m(cmd,arg1) %NND12M Marquardt backpropagation demonstration. % % This demonstration requires the Neural Network Toolbox. % First Version, 8-31-95. %=============================
www.eeworm.com/read/231340/14238650

m modeplot.1m.m

function modeplot1(FILE,arg1,arg2) % [phi,lambda,fb]=modeplot1(FILE,W1,W2,N,P5) % % % INPUTS: % FILE: input file, can be template.m (Script) or template.mtx (*.mat) % W: speed of rotatio