代码搜索:Approximation

找到约 1,542 项符合「Approximation」的源代码

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m approxep.m

function [alpha, sW, L, nlZ, dnlZ] = approxEP(hyper, covfunc, lik, x, y) % Expectation Propagation approximation to the posterior Gaussian Process. % The function takes a specified covariance functio
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pro fitexy.pro

;+ ; NAME: ; FITEXY ; PURPOSE: ; Best straight-line fit to data with errors in both coordinates ; EXPLANATION: ; Linear Least-squares approximation in one-dimension (y = a + b*x), ;
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m model.m

function model(ofile,navfile) %MODEL Receiver clock offset OS from kalclock is modeled; % first by a linear, next by a quadratic approximation. % The model is subtrated from OS. The auto
www.eeworm.com/read/198545/7929314

m expv.m

% w = expv( t, A, v ) % EXPV computes an approximation of w = exp(t*A)*v for a % general matrix A using Krylov subspace projection techniques. % It does not compute the matrix exponential in iso
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m mexpv.m

% w = mexpv( t, A, v ) % MEXPV computes an approximation of w = exp(t*A)*v using Krylov % subspace projection techniques. This is a customised version for % Markov Chains. This means that a check
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m cp0901_muiber_2ppm.m

% % Function 9.3 : "cp0901_MUIBER_2PPM" % % Evaluates the theoretical probability of error % for a 2PPM system in AWGN channels under the % Standard Gaussian Approximation % % 'ebno' is a v
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m fisher_nc_snn.m

function F = fisher_nc_snn(X, net, data) %FISHER_NC_SNN approximation of derivatives for costfunction with respect % to connection weights and biases (Fisher matrix). % % Syntax % % F
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h math_approx.h

/* Copyright (C) 2002 Jean-Marc Valin File: math_approx.c Various math approximation functions for Speex Redistribution and use in source and binary forms, with or without modification,
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cpp math_approx.cpp

/* Copyright (C) 2002 Jean-Marc Valin File: math_approx.c Various math approximation functions for Speex Redistribution and use in source and binary forms, with or without modification,
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ma alg072.ma

(* GAUSS-SEIDEL ITERATIVE TECHNIQUE ALGORITHM 7.2 * * To solve Ax = b given an initial approximation x(0) * * Input: the number of equations and unknowns n; * the entries A(i,J), 1