代码搜索：Non-linear

找到约 518 项符合「Non-linear」的源代码

代码结果 518
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m da_ga2.m

% % da_ga2.m % % Starts the Non-linear static GA model % % % Get the Parameters before clearing the screen % global stop; members=ceil(get(sl1,'value')); members=round(members/2)*2; pmuta
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www.eeworm.com/read/124842/14534513

m da_ga2.m

% % da_ga2.m % % Starts the Non-linear static GA model % % % Get the Parameters before clearing the screen % global stop; members=ceil(get(sl1,'value')); members=round(members/2)*2; pmuta
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www.eeworm.com/read/214740/15090330

m da_ga2.m

% % da_ga2.m % % Starts the Non-linear static GA model % % % Get the Parameters before clearing the screen % global stop; members=ceil(get(sl1,'value')); members=round(members/2)*2; pmuta
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www.eeworm.com/read/269755/11079330

h newmatnl.h

/// \ingroup newmat ///@{ /// \file newmatnl.h /// Header file for non-linear optimisation // Copyright (C) 1993,4,5: R B Davies #ifndef NEWMATNL_LIB #define NEWMATNL_LIB 0 #include "ne
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www.eeworm.com/read/202785/15373408

m da_ga2.m

% % da_ga2.m % % Starts the Non-linear static GA model % % % Get the Parameters before clearing the screen % global stop; members=ceil(get(sl1,'value')); members=round(members/2)*2; pmuta
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www.eeworm.com/read/446824/7564242

m test_2_non_bis.m

clc; clear; clf; % non-linear transforms % test_2_non with fucntions.. warning off; %the number of the input-output bits... nbits_in = 15; nbits_out = 7; % define the range x_min = -
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www.eeworm.com/read/482638/6620096

m dlsqrat.m

function [alpha, c] = dlsqrat(t,y,p,q,alpha) % [alpha] = dlsqrat(t,y,p,q,alpha) % % A Full Newton non-linear least-squares code for discrete % least-squares rational approximation. This code
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www.eeworm.com/read/402842/11527066

m frit_nla.m

function imrec = frit_nla(im, wname, ncoefs, plotflag) % FRIT_NLA FRIT non-linear approximation % % imrec = frit_nla(im, wname, ncoefs, [plotflag]) % % Input % im: Input image % wname: wavelet name u
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www.eeworm.com/read/344585/3208016

m laplacian_eigen.m

function mappedX = laplacian_eigen(X, no_dims, k, sigma, eig_impl) %LAPLACIAN_EIGEN Performs non-linear dimensionality reduction using Laplacian Eigenmaps % % mappedX = laplacian_eigen(X, no_dims, k
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www.eeworm.com/read/428608/8856222

m armals.m

function [a,b,V,FPE,C]=armals(x,p,q,maxiter,tol) % function [a,b,V,FPE,C]=armals(x,p,q,maxiter,tol) % ARMA modeling using non-linear LS optimization % % Programmed by: Dimitris Manolakis % Revi
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