代码搜索:Approximation

找到约 1,542 项符合「Approximation」的源代码

代码结果 1,542
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m stretch_const_fmincon.m

function [f,g] = ... stretch_const_fmincon(X,n_vector,C_matrix,d_vector,t0,tf) % Compute objective function for the optimization problem in the flow pipe % segment approximation procedure for
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c poly_l2.c

/* * poly_l2.c * * Compute the base 2 log of a FPU_REG, using a polynomial approximation. * * * Copyright (C) 1992,1993,1994 * W. Metzenthen, 22 Parker St, Ormond, Vic 31
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m wt09fig04.m

fprintf('\n'); disp('Figure 9.4') disp('Window 1: Non-linear approximation of a Lena image ') disp('of N^2=256^2 pixels, with M = N^2/16 wavelet coefficients.') disp('The relative norm of the erro
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m wt09fig04.m

fprintf('\n'); disp('Figure 9.4') disp('Window 1: Non-linear approximation of a Lena image ') disp('of N^2=256^2 pixels, with M = N^2/16 wavelet coefficients.') disp('The relative norm of the erro
www.eeworm.com/read/427864/1964745

m wt09fig04.m

fprintf('\n'); disp('Figure 9.4') disp('Window 1: Non-linear approximation of a Lena image ') disp('of N^2=256^2 pixels, with M = N^2/16 wavelet coefficients.') disp('The relative norm of the erro
www.eeworm.com/read/403190/2314039

svn-base batch_landmarks_error.m.svn-base

% batch test clear; name_list = {'constant','mountain','road2'}; for i=1:length(name_list) name = name_list{i}; % test_landmark_error; test_distance_approximation; end
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m wt09fig04.m

fprintf('\n'); disp('Figure 9.4') disp('Window 1: Non-linear approximation of a Lena image ') disp('of N^2=256^2 pixels, with M = N^2/16 wavelet coefficients.') disp('The relative norm of the erro
www.eeworm.com/read/414357/11119026

m nnd11fa.m

function nnd11fa(cmd,arg1) % NND11FA Function approximation demonstration. % This demonstration requires the Neural Network Toolbox. % Copyright 1994-2002 PWS Publishing Company and The MathWorks
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m func_myappcoef2.m

function a = func_Myappcoef2(c,s,varargin) %APPCOEF2 Extract 2-D approximation coefficients. % This code is by Jing Tian if errargn(mfilename,nargin,[3:5],nargout,[0:1]), error('*'), end rmax =
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m func_myappcoef2.m

function a = func_Myappcoef2(c,s,varargin) %APPCOEF2 Extract 2-D approximation coefficients. % This code is by Jing Tian if errargn(mfilename,nargin,[3:5],nargout,[0:1]), error('*'), end rmax =