代码搜索：Approximation

找到约 1,542 项符合「Approximation」的源代码

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java~1~ integrator.java~1~

package numbercruncher.mathutils; /** * Interface implemented by integrator classes. */ public interface Integrator { /** * Integrate the function from a to b, * and return an approxi
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java~1~ eulersdiffeqsolver.java~1~

package numbercruncher.mathutils; /** * Differential equation solver that implements Euler's algorithm. */ public class EulersDiffEqSolver extends DiffEqSolver { /** * Constructor. *
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m termreinit.m

function [ ydot, stepBound ] = termReinit(t, y, schemeData) % termReinit: a Godunov solver for the reinitialization HJ PDE. % % [ ydot, stepBound ] = termReinit(t, y, schemeData) % % Computes a G
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m termrestrictupdate.m

function [ ydot, stepBound ] = termRestrictSign(t, y, schemeData) % termRestrictSign: restrict the sign of a term to be positive or negative. % % [ ydot, stepBound ] = termRestrictSign(t, y, scheme
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m checkequivalentapprox.m

function [ relError, absError ] = checkEquivalentApprox(approx1, approx2,bound) % checkEquivalentApprox: Checks two derivative approximations for equivalence. % % [ relError, absError ] = checkEq
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m upwindfirstweno5a.m

function [ derivL, derivR ] = upwindFirstWENO5a(grid, data, dim, generateAll) % upwindFirstWENO5a: fifth order upwind approx of first deriv by divided diffs. % % [ derivL, derivR ] = upwindFirstW
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m laplaciansecond.m

function laplacian = laplacianSecond(grid, data) % laplacian: second order centered difference approx of the Laplacian. % % laplacian = laplacianSecond(grid, data) % % Computes a second order c
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s sqrt.s

#ifndef lint #static char *sccsid = "@(#)sqrt.s 4.1 (ULTRIX) 7/17/90"; #endif lint /************************************************************************ * * * Copyright (c) 1986 by
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m polyapproximation_1var.m

% % Ch 5: Numerical Techniques - 1 D optimization % Optimzation with MATLAB, Section 5.2.4 % Generic Polynomial Approximation Method - Single Variable % copyright Dr. P.Venkataraman % % An m-
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m fig4_4.m

% Illustration of the Taylor series for one variable % Optimization Using MATLAB % Dr. P.Venkataraman % % section 4.2.3 % The graphics are generated in the code syms x f= 12 + (x-1)*(x-1)*(x
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