代码搜索：Approximation
找到约 1,542 项符合「Approximation」的源代码
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www.eeworm.com/read/100601/6267396
txt sqrt.txt
Square Root
A simple iterative algorithm is used to compute the greatest integer
less than or equal to the square root. Essentially, this is Newton's
linear approximation, computed by finding succes
www.eeworm.com/read/485150/6566177
m fuzzyqi.m
function varargout = fuzzyqi(cfg)
% Approximate offline, model-based Q-iteration with fuzzy approximation [1]
% VARARGOUT = FUZZYQI(CFG)
% Inputs:
% CFG - structure with fields as comm
www.eeworm.com/read/485150/6566187
m contents.m
% Approximate reinforcement learning functions
%
% fuzzyqi - Implements model-based, offline Q-iteration with fuzzy approximation
% tilingqi - Tile-coding Q-iteration
% startupappro
www.eeworm.com/read/259886/11759857
m demorb1.m
%% Radial Basis Approximation
% This demo uses the NEWRB function to create a radial basis network that
% approximates a function defined by a set of data points.
%
% Copyright 1992-2002 The MathW
www.eeworm.com/read/259565/11782443
m cumquad.m
function ci = cumquad(y,x)
% Function computes the numerical approximation to the indefinite
% integral y dx (corresponding to cumsum)
% y ordinates
% x abscissas
% If only one input argume
www.eeworm.com/read/152580/12100929
m mregwav2.m
% Example of multiscale approximation using
% Regularization Networks
%
% Sin/Sinc frame are used for approximating a
% Sin + sinc functions.
%
%
% 30/10/2000 AR
%
%
close all
clear all
www.eeworm.com/read/151143/12232916
m cumquad.m
function ci = cumquad(y,x)
% Function computes the numerical approximation to the indefinite
% integral y dx (corresponding to cumsum)
% y ordinates
% x abscissas
% If only one input argume
www.eeworm.com/read/125476/14491803
cc cum_normal.cc
// numerical approximations to univariate N(z) cumulative normal distribution
#include // math functions.
using namespace std;
double N(double z) {
// This is a numerical approximation t
www.eeworm.com/read/215323/15065073
tm suave.tm
:Evaluate: BeginPackage["Cuba`"]
:Evaluate: Suave::usage =
"Suave[f, {x, xmin, xmax}..] computes a numerical approximation to the integral of the real scalar or vector function f.
The output is a l
www.eeworm.com/read/215323/15065185
tm cuhre.tm
:Evaluate: BeginPackage["Cuba`"]
:Evaluate: Cuhre::usage =
"Cuhre[f, {x, xmin, xmax}..] computes a numerical approximation to the integral of the real scalar or vector function f.
The output is a l