代码搜索:Approximation

找到约 1,542 项符合「Approximation」的源代码

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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
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m~ contents.m~

% Kernel machines. % % cvkfd - Computes cross validation error for given KFD model. % diagker - Returns diagonal of kernel matrix of given data. % dualcov - Dual representation of cova
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m acfeedfw.m

function x = acfeedfw(s0, tnet, approximation) % ACFEEDFW Do feedforward with acprobdist_alpha sources % % Usage: % x = acfeedfw(s, tnet, approximation) % where sources should be acprobd
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dat funtc267b.dat

#include #include int main(void) { char buffer[80]; sprintf(buffer, "An approximation of Pi is %f ", M_PI); puts(buffer); return 0; }
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m~ contents.m~

% Kernel machines. % % cvkfd - Computes cross validation error for given KFD model. % diagker - Returns diagonal of kernel matrix of given data. % dualcov - Dual representation of cova
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m~ contents.m~

% Kernel machines. % % cvkfd - Computes cross validation error for given KFD model. % diagker - Returns diagonal of kernel matrix of given data. % dualcov - Dual representation of cova
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vestrum_test_ti_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
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m mieab_1.m

function result = Mieab_1(m, x) % Computation of Mie coefficients a_n(z), b_n(z) for order 1, % complex refractive index m=m'+im", and size parameter x=k0*a
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m nelsondemo.m

% Example 1. Nelson-Siegel function: a sample shape par.beta = [.05 -.1 .15]'; par.tau = 1; x = [.125 .25 .5 1 2 3 5 7 10 20 30]; y = nelsonfun(x,par); figure set(gcf,'Color','w') plot(x,y)
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c qf.c

/********************** * * Computes Q(x) = \int_x^\infty \exp(-t*t/2)/\sqrt(2*\pi) * using a rational approximation * (See Abramowitz Stegun, Handbook of Mathematical Functions, * p 932, formu