代码搜索：Approximation

找到约 1,542 项符合「Approximation」的源代码

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m burgers_main.m

%... %... Burgers equation %... %... Authors: A. Vande Wouwer, P. Saucez, W.E. Schiesser (2003) %... %... The well known Burgers equation: %... %... x = -(0.5x^2) + mu*x = -x*x + mu*x
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www.eeworm.com/read/381109/9109786

h agg_vcgen_stroke.h

//---------------------------------------------------------------------------- // Anti-Grain Geometry (AGG) - Version 2.5 // A high quality rendering engine for C++ // Copyright (C) 2002-2006 Maxim
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www.eeworm.com/read/124283/14580403

changelog

2004-10-26 Brian Gough * exppow.c: added exppow distribution 2004-10-01 Brian Gough * beta.c (gsl_cdf_beta_P, gsl_cdf_beta_P): return con
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m five_point_centered_uni_d1.m

function [D]=five_point_centered_uni_D1(z0,zL,n) %... %... A. Vande Wouwer, P. Saucez and W.E. Schiesser (2002) %... %... function five_point_centered_uni_D1 returns the differentiation ma
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www.eeworm.com/read/201006/15418398

m quadratic_search.m

function [s, net, t2] = quadratic_search(s0, net0, basekls, restc, smstep, netmstep, fs, data, params, t0, status) % QUADRATIC_SEARCH Line search by method of quadratic approximation % Copyright (C)
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www.eeworm.com/read/296142/8119736

pdf nonlinear approximation based image recovery using adaptive sparse reconstructions and iterated denoising-part i theory.pdf

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www.eeworm.com/read/345039/11845564

pdf harmonic analysis and approximation on the unit sphere(球面上的调和分析与逼近)（wang kunyang, li luoqing）.pdf

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www.eeworm.com/read/295545/8155092

pdf nonlinear approximation based image recovery using adaptive sparse reconstructions and iterated denoising-part i theory.pdf

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www.eeworm.com/read/365862/9842952

m gmm_covariance_intersect.m

function [gr, alpha] = gmm_covariance_intersect(g1, g2, alpha) % Conservative approx: Generalised covariance intersect % TODO: confirm this algorithms correctness. Does it make sense??? % Is there
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www.eeworm.com/read/351998/10588959

m gmm_covariance_intersect.m

function [gr, alpha] = gmm_covariance_intersect(g1, g2, alpha) % Conservative approx: Generalised covariance intersect % TODO: confirm this algorithms correctness. Does it make sense??? % Is there
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