代码搜索:Approximation

找到约 1,542 项符合「Approximation」的源代码

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www.eeworm.com/read/192030/8410803

m example_mw.m

% Example calls to subroutines in mw % Copyright (c) 2004 by Fritz Keinert (keinert@iastate.edu), % Dept. of Mathematics, Iowa State University, Ames, IA 50011. % This software may be freely used
www.eeworm.com/read/188324/8549494

m splexmpl.m

%% Spline Toolbox Examples % Here are some simple examples that illustrate the use of the spline toolbox. % Copyright 1987-2005 The MathWorks, Inc. % $Revision: 1.16.4.2 $ $Date: 2005/06/21 19:46
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m example_mw.m

% Example calls to subroutines in mw % Copyright (c) 2004 by Fritz Keinert (keinert@iastate.edu), % Dept. of Mathematics, Iowa State University, Ames, IA 50011. % This software may be freely used
www.eeworm.com/read/181714/9240394

m rk4.m

function [x, y] = rk4(f, ab, y0, N) % Compute approximation of the solution of the initial value % problem y' = f(x,y), y(a) = y0 on the interval ab = [a,b]. % Classical Runge-Kutta method with
www.eeworm.com/read/179705/9344022

c lambert.c

/* specfunc/lambert.c * * Copyright (C) 1996, 1997, 1998, 1999, 2000, 2001 Gerard Jungman * * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU
www.eeworm.com/read/374411/9407234

m kld.m

function KLD = kld(p1,p2,type,varargin) %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % kld An estimate of the KL-Divergence between two density estimates % %
www.eeworm.com/read/168046/9940998

cpp lifting53.cpp

/* this program performs 1D and 2D wavelet decomposition and synthesis using lifting algorithm. the wavelet used here is a set of invertible wavelet that map integer to integer, namely 5/
www.eeworm.com/read/360606/10085289

m ex6_9.m

% % This program compares the saturation drain current % of a FET computed by using the exact formula versus % the quadratic law approximation % % Copyright (c) 1999 by P.Bretchko and R
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vestrum_test_ortho_output

Input C matrix: 16.85 7.88 6.81 0.07 -0.18 0.12 7.88 16.03 6.51 0 -0.26 -0.08 6.81 6.51 11.14