代码搜索：evaluate
找到约 3,619 项符合「evaluate」的源代码
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www.eeworm.com/read/140701/13065609
ma alg046.ma
(*GAUSSIAN TRIPLE INTEGRAL ALGORITHM
*
* To approximate I = triple integral ( ( f(x,y,z,) dz dy dx ) )
* with limits of integration from a to b for x, from c(x) to
* d(x) for y, and from alp
www.eeworm.com/read/140701/13065682
ma alg104.ma
(* CONTINUATION METHOD FOR SYSTEMS ALGORITHM 10.1
*
* To approximate the solution to the nonlinear system
* F(x) = 0 given an initail approximation X:
*
* INPUT: Number n of equations and
www.eeworm.com/read/137233/13337556
cc eval.cc
// eval.cc
/* -------------------------------------------------------------------
gpc++ - The Genetic Programming Kernel
This program is free software; you can redistribute it and/or modify
it und
www.eeworm.com/read/265037/11284748
m normal.m
% [ll, f, cl, P] = normal(data, alpha, mu, sigma)
%
% This function serves several purposes:
% - evaluate PDF of normal mixture at each of the data points
% - evaluate log-likelihood of the data
www.eeworm.com/read/251835/12317485
m contents.m
% Schwarz-Christoffel Toolbox
% Version 2.3 January 15, 2003
% Copyright (c) 1994-2003 by Toby Driscoll (driscoll@math.udel.edu).
%
% This is a selective listing of functions.
% See the user's
www.eeworm.com/read/210675/15193502
ma alg046.ma
(*GAUSSIAN TRIPLE INTEGRAL ALGORITHM
*
* To approximate I = triple integral ( ( f(x,y,z,) dz dy dx ) )
* with limits of integration from a to b for x, from c(x) to
* d(x) for y, and from alp
www.eeworm.com/read/210675/15193540
ma alg104.ma
(* CONTINUATION METHOD FOR SYSTEMS ALGORITHM 10.1
*
* To approximate the solution to the nonlinear system
* F(x) = 0 given an initail approximation X:
*
* INPUT: Number n of equations and
www.eeworm.com/read/172012/9726717
m xemx.m
function y = xemx(x)
% xemx Evaluate x*exp(-x), where x is a scalar or vector
y = x.*exp(-x);
www.eeworm.com/read/334229/12616558
cc eval.cc
// eval.cc
/* -------------------------------------------------------------------
gpc++ - The Genetic Programming Kernel
This program is free software; you can redistribute it and/or modify
it und
www.eeworm.com/read/192030/8410821
m mpolyval.m
function Y = mpolyval(P,X)
% MPOLYVAL - evaluate matrix polynomial
%
% Y = mpolyval(P,X)
%
% If X is a numerical or symbolic array, evaluate the matrix polynomial P
% at these values.