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/419697/10842995

c alg102.c

/* * BROYDEN ALGORITHM 10.2 * * To approximate the solution of the nonlinear system F(X) = 0 * given an initial approximation X. * * INPUT: Number n of equations and unknowns; initial
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c alg103.c

/* * STEEPEST DESCENT ALGORITHM 10.3 * * To approximate a solution P to the minimization problem * G(P) = MIN( G(X) : X in R(n) ) * given an initial approximation X: * *
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c alg101.c

/* * NEWTON'S METHOD FOR SYSTEMS ALGORITHM 10.1 * * To approximate the solution of the nonlinear system F(X)=0 given * an initial approximation X: * * INPUT: Number n of equations and
www.eeworm.com/read/469123/6977828

m binarylaplacegp.m

function varargout = binaryLaplaceGP(hyper, covfunc, lik, varargin) % binaryLaplaceGP - Laplace's approximation for binary Gaussian process % classification. Two modes are possible: training or testi
www.eeworm.com/read/450938/7474407

m siteinsert.m

% Given an LR image and the Delaunay triangulation used in creating % an HR image from some set of LR images, this function incorporates % the additional LR image into the approximation, to further
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svn-base siteinsert.m.svn-base

% Given an LR image and the Delaunay triangulation used in creating % an HR image from some set of LR images, this function incorporates % the additional LR image into the approximation, to further
www.eeworm.com/read/449504/7502854

m lndetint.m

function out=lndetint(wsw,rmin,rmax) % PURPOSE: computes Pace and Barry's spline approximation to log det(I-rho*W) % ----------------------------------------------------------------------- % USAGE: ou
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m ecgbeatfitter.m

function varargout = ECGBeatFitter(varargin) % % ECGBeatFitter(ECG,Phase,ExpParamName), % Graphical user interface for ECG approximation with Gaussian kernels. % % inputs: % ECG: a single ECG wa
www.eeworm.com/read/140701/13065716

ma alg075.ma

(* CONJUGATE GRADIENT ALGORITHM 7.5 * * To solve Ax = b given the preconditioning matrix C inverse * and an initial approximation x(0) * * Input: the number of equations and unknowns n;
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txt alg071.txt

> restart; > # JACOBI ITERATIVE ALGORITHM 7.1 > # > # To solve Ax = b given an initial approximation x(0). > # > # INPUT: the number of equations and unknowns n; the entries > # A(I,J