代码搜索:Approximation

找到约 1,542 项符合「Approximation」的源代码

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m binarygp.m

function [out1, out2, out3, out4, alpha, sW, L] = binaryGP(hyper, approx, covfunc, lik, x, y, xstar) % Approximate binary Gaussian Process classification. Two modes are possible: % training or testin
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m approximations.m

% approximations: Exact inference for Gaussian process classification is % intractable, and approximations are necessary. Different approximation % techniques have been implemented, which all rely on
www.eeworm.com/read/458661/7291909

m kingfit.m

% kingfit.m - fits a sampled current to King's 2-term sinusoidal approximation % % Usage: A = kingfit(L,I,z,terms) % A = kingfit(L,I,z) (equivalent to terms=2) % % L = antenna le
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m pca.m

function [U,S,V] = pca(A,k,its,l) %PCA Low-rank approximation in SVD form. % % % [U,S,V] = PCA(A) constructs a nearly optimal rank-6 approximation % USV' to A, using 2 full iterations
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ma alg104.ma

(* CONTINUATION METHOD FOR SYSTEMS ALGORITHM 10.1 * * To approximate the solution to the nonlinear system * F(x) = 0 given an initail approximation X: * * INPUT: Number n of equations and
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m bound1d.m

%> This is This file calculates bound state eigenvalues/functions for a %> Schroedinger particle in 1D using the Fourier Grid Hamiltonian %> method in the function file . This
www.eeworm.com/read/315751/13536868

m kingfit.m

% kingfit.m - fits a sampled current to King's 2-term sinusoidal approximation % % Usage: A = kingfit(L,I,z,terms) % A = kingfit(L,I,z) (equivalent to terms=2) % % L = antenna le
www.eeworm.com/read/305390/13772323

m newdim.m

function [P,iter,err]=newdim(F,JF,P,delta,epsilon,max1) %Input -F is the system saved as the M-file F.m % -JF is the Jacobian of F saved as the M-file JF.M % -P is the inital
www.eeworm.com/read/303512/13813933

m kingfit.m

% kingfit.m - fits a sampled current to King's 2-term sinusoidal approximation % % Usage: A = kingfit(L,I,z,terms) % A = kingfit(L,I,z) (equivalent to terms=2) % % L = antenna le
www.eeworm.com/read/480836/6662438

m fixed_point_systems.m

function fixed_point_systems(x0, N) %Fixed_Point_Systems(x0, N) approximates the solution of a system of nonlinear %equations F(x) = 0 rewritten in the form x = G(x) starting with an initial %