代码搜索：APPROXIMATION
找到约 1,542 项符合「APPROXIMATION」的源代码
代码结果 1,542
www.eeworm.com/read/469123/6977827
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
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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
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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
%