代码搜索:Approximation

找到约 1,542 项符合「Approximation」的源代码

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m rbflpeval.m

function values = rbfLPeval (evalpoints, intpoints, bndpoints, coeff) % evaluate Laplacian at evalpoints of % an RBF approximation to a Poisson problem defined by centers in intpoints and bndpoints
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m mregwav3.m

% % Example of multiscale approximation % Hyperparameters adjustments by CrossValidation % % Wavelet frame are used for approximating a % Sin + sinc functions. % % % 13/11/2000 AR % %
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cpp cmac.cpp

/* Reinforcement Learning Implementation of CMAC funcltion approximation In this implementation, function CMAC::learn(...) implements learning using eligibility traces. There are functions i
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m rsm_learn.m

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Response surface method for finding optimal approximator size p % and data set G size M for a function approximation problem. % Progr
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m rbfpeval.m

function values = rbfPeval (evalpoints, intpoints, bndpoints, coeff) % evaluate at evalpoints % an RBF approximation to a Poisson problem defined by centers in intpoints and bndpoints, % using coe
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c alg094.c

/* * WIELANDT'S DEFLATION ALGORITHM 9.4 * * To approximate the second most dominant eigenvalue and an * associated eigenvector of the n by n matrix A given an * approximation LAMBDA to th
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m dembcm.m

function dembcm() % dembcm - Demo program for BCM approximation for large scale GP regression % % Synopsis: % dembcm; % % Description: % This routine demonstrates how the provided routines for the
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txt alg094.txt

> restart; > # WIELANDT'S DEFLATION ALGORITHM 9.4 > # > # To approximate the second most dominant eigenvalue and an > # associated eigenvector of the n by n matrix A given an > # approximation LA
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txt alg094.txt

> restart; > # WIELANDT'S DEFLATION ALGORITHM 9.4 > # > # To approximate the second most dominant eigenvalue and an > # associated eigenvector of the n by n matrix A given an > # approximation LA
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c alg094.c

/* * WIELANDT'S DEFLATION ALGORITHM 9.4 * * To approximate the second most dominant eigenvalue and an * associated eigenvector of the n by n matrix A given an * approximation LAMBDA to th