代码搜索：Approximation
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www.eeworm.com/read/424059/2019984
java cdf_normal.java
package statistics;
//Gaussian CDF Taylor approximation
//Code borrowed from http://www1.fpl.fs.fed.us/distributions.html 19/9 2006
/**
*
*This class contains routines to calculate the
*normal cumul
www.eeworm.com/read/373026/2767652
m ex_5_33.m
% Exercise 5.33: Parametrized l1-norm approximation
% Boyd & Vandenberghe "Convex Optimization"
% Jo雔le Skaf - 08/29/05
% (a figure is generated)
%
% Let p_star(epsilon) be the optimal value of the fo
www.eeworm.com/read/373026/2767655
m norm_approx.m
% Examples 5.6,5.8: An l_p norm approximation problem
% Boyd & Vandenberghe "Convex Optimization"
% Jo雔le Skaf - 08/23/05
%
% The goal is to show the following problem formulations give all the same
%
www.eeworm.com/read/259059/4346739
java cdf_normal.java
package statistics;
//Gaussian CDF Taylor approximation
//Code borrowed from http://www1.fpl.fs.fed.us/distributions.html 19/9 2006
/**
*
*This class contains routines to calculate the
*normal cumul
www.eeworm.com/read/294886/8195764
m nnd11fa.m
function nnd11fa(cmd,arg1)
%NND11FA Function approximation demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%==============================
www.eeworm.com/read/173932/9629729
m que_func.m
function fofx = que_func(x)
% This function computes the value of the Q-function
% listed in Eq.(2.16). It uses the approximation in Eq.s (2.17) and (2.18)
if (x >= 0)
denom = 0.661 * x + 0.339
www.eeworm.com/read/414357/11118997
m nnd17no.m
function nnd17no(cmd,arg1)
% nnd17no Function approximation demonstration.
% This demonstration requires the Neural Network Toolbox.
% Copyright 1994-2002 PWS Publishing Company and The MathWorks
www.eeworm.com/read/414357/11119149
asv nnd17no.asv
function nnd17no(cmd,arg1)
% nnd17no Function approximation demonstration.
% This demonstration requires the Neural Network Toolbox.
% Copyright 1994-2002 PWS Publishing Company and The MathWorks
www.eeworm.com/read/237896/13921338
m que_func.m
function fofx = que_func(x)
% This function computes the value of the Q-function
% listed in Eq.(2.16). It uses the approximation in Eq.s (2.17) and (2.18)
if (x >= 0)
denom = 0.661 * x + 0.339
www.eeworm.com/read/134893/13972081
m nnd11fa.m
function nnd11fa(cmd,arg1)
%NND11FA Function approximation demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%==============================