代码搜索：Approximation

找到约 1,542 项符合「Approximation」的源代码

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m alg102.m

% 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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m alg075.m

% 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; the
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m alg104.m

% CONTINUATION METHOD FOR SYSTEMS ALGORITHM 10.4 % % To approximate the solution of the nonlinear system F(X)=0 given % an initial approximation X: % % INPUT: Number n of equations and unknowns
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m nonlin_taylor.m

function b = nonlin_taylor(a, nonlin) % TANH Hyperbolic tangent of a propability distribution % % The result is calculated using second order Taylor approximation % for expectation and first order for
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m test1.m

%% QMG test 1 %% This is an approximation to the mesh on the cover of Claes %% Johnson's book ``Numerical solutions of partial differential %% equations by the finite element method'' , Cambridge U.
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tcl test1.tcl

## QMG test 1 ## This is an approximation to the mesh on the cover of Claes ## Johnson's book ``Numerical solutions of partial differential ## equations by the finite element method'' , Cambridge U.
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cc mcmchierei.cc

// fits Wakefield's hierarchical model for ecological inference using // Wakefield's normal approximation to the binomial convolution likelihood // and slice sampling and Gibbs sampling to sample from
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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
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c alg073.c

/* * SOR ALGORITHM 7.3 * * To solve Ax = b given the parameter w and an initial approximation * x(0): * * INPUT: the number of equations and unknowns n; the entries * A(I,J
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c alg072.c

/* * GAUSS-SEIDEL ITERATAIVE TECHNIQUE ALGORITHM 7.2 * * To solve Ax = b given an initial approximation x(0). * * INPUT: the number of equations and unknowns n; the entries *
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