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找到约 10,000 项符合「MATLAB」的源代码
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www.eeworm.com/read/223154/14652414
m durlev.m
function [MX,res,arg3] = durlev(AutoCov);
% function [AR,RC,PE] = durlev(ACF);
% function [MX,PE] = durlev(ACF);
% estimates AR(p) model parameter by solving the
% Yule-Walker with the Durbin-Le
www.eeworm.com/read/222288/14697950
m gauss.m
function quad=gauss(f,a,b,A,W)
%Input - f is the integrand
% - a and b upper and lower limits of integration
% - A is the 1 x N vector of abscissas from Table 7.9
%
www.eeworm.com/read/222288/14697955
m linsht.m
function L=linsht(F1,F2,a,b,alpha,beta,M)
%Input - F1 and F2 are the systems of first-order equations
% representing the I.V.P.'s (9) and (10), respectively;
% input as
www.eeworm.com/read/222288/14697961
m trisys.m
function X=trisys (A,D,C,B)
%Input - A is the sub diagonal of the coefficient matrix
% - D is the main diagonal of the coefficient matrix
% - C is the super diagonal of the c
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