代码搜索：gradient
找到约 2,951 项符合「gradient」的源代码
代码结果 2,951
www.eeworm.com/read/216769/14992947
m diffunct.m
function y=diffunct(aa,p,k,a,b)
y=-a/sqrt(8*pi)*sqrt(b*aa(k)./p(k))*exp(-b*aa(k).*p(k)/2);
%y=gradient(a*Q(sqrt(b*aa(k)*p(k))));
www.eeworm.com/read/216768/14992965
m diffunct.m
function y=diffunct(aa,p,k,a,b)
y=-a/sqrt(8*pi)*sqrt(b*aa(k)./p(k))*exp(-b*aa(k).*p(k)/2);
%y=gradient(a*Q(sqrt(b*aa(k)*p(k))));
www.eeworm.com/read/216768/14992989
m diffunct.m
function y=diffunct(aa,p,k,a,b)
y=-a/sqrt(8*pi)*sqrt(b*aa(k)./p(k))*exp(-b*aa(k).*p(k)/2);
%y=gradient(a*Q(sqrt(b*aa(k)*p(k))));
www.eeworm.com/read/216767/14993009
m diffunct.m
function y=diffunct(aa,p,k,a,b)
y=-a/sqrt(8*pi)*sqrt(b*aa(k)./p(k))*exp(-b*aa(k).*p(k)/2);
%y=gradient(a*Q(sqrt(b*aa(k)*p(k))));
www.eeworm.com/read/212307/15160204
m demopt1.m
function demopt1(xinit)
%DEMOPT1 Demonstrate different optimisers on Rosenbrock's function.
%
% Description
% The four general optimisers (quasi-Newton, conjugate gradients,
% scaled conjugate gradien
www.eeworm.com/read/167728/5453198
texi multimin.texi
@cindex minimization, multidimensional
This chapter describes routines for finding minima of arbitrary
multidimensional functions. The library provides low level components
for a variety of iterativ
www.eeworm.com/read/368337/9701499
texi multimin.texi
@cindex minimization, multidimensional
This chapter describes routines for finding minima of arbitrary
multidimensional functions. The library provides low level components
for a variety of iter
www.eeworm.com/read/367236/9765676
m tfbss.m
function [Se,Ae]=tfbss(X,n,Nt,Nf,tol)
% TFBSS Blind Source Separation of (over)determined multiplicative mixtures
% of non-stationary real-valued sources.
%
% Usage: [Se,Ae]=tfbss(X,n,Nt,Nf,to
www.eeworm.com/read/170936/9779397
m demopt1.m
function demopt1(xinit)
%DEMOPT1 Demonstrate different optimisers on Rosenbrock's function.
%
% Description
% The four general optimisers (quasi-Newton, conjugate gradients,
% scaled conjugate gradien