代码搜索:Approximation

找到约 1,542 项符合「Approximation」的源代码

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m psf2kron.m

function varargout = kronApprox2( varargin ) % % Compute a Kronecker product approximation of a psfMatrix, K: % K \approx A \otimes B % % On Entry: % PSF % g - the rig
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java gaussianwrapper.java

package statistics; public class GaussianWrapper { /** * Returns standard Gaussian cdf approximation based on algortihm for error function. * * @param value Value * @return Probabilit
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tex int.tex

\section{Introduction} %%%% The hyperbolic approximation of $P$-wave reflection traveltimes in common-midpoint gathers plays an important role in conventional seismic data processing and interpretatio
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java gaussianwrapper.java

package statistics; public class GaussianWrapper { /** * Returns standard Gaussian cdf approximation based on algortihm for error function. * * @param value Value * @return Probabilit
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m niceimag.m

function niceimag % The command niceimag generates a matrix for an ATLAST % exercise on the singular value decomposition and digital % imaging. The rank 1 svd approximation to the image is % gen
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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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m framekernelex1.m

% % Example of SVM approximation wavelet frame kernel % is compared to Gaussian kernel % % The conclusion of this test is that % both kernels seem to give equivalent results. % % 10/12/2000 A
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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 10.1 % % To approximate the solution of the nonlinear system F(X)=0 given % an initial approximation X: % % INPUT: Number n of equations and unknowns