代码搜索：evaluate
找到约 3,619 项符合「evaluate」的源代码
代码结果 3,619
www.eeworm.com/read/261074/11667375
m fnewt.m
function [f,D] = fnewt(x,a)
% Function used by the N-variable Newton's method
% Inputs
% x State vector [x y z]
% a Parameters [r sigma b]
% Outputs
% f Lorenz model r.h.
www.eeworm.com/read/251851/12315036
m model_check.m
function spec = model_check(ACTLspec)
% Perform `model checking` on the global transition system given the
% specification.
%
% Syntax:
% "spec = model_check(ACTLspec)"
%
% Description:
% Given
www.eeworm.com/read/250393/12409393
cls myfunction.cls
VERSION 1.0 CLASS
BEGIN
MultiUse = -1 'True
Persistable = 0 'NotPersistable
DataBindingBehavior = 0 'vbNone
DataSourceBehavior = 0 'vbNone
MTSTransactionMode = 0 'NotAnMTSObject
www.eeworm.com/read/216806/14991757
m sample_proposal.m
function particle= sample_proposal(particle, z,idf, R)
% Compute proposal distribution, then sample from it, and compute new
% particle weight.
xv= particle.xv;
Pv= particle.Pv;
xv0= xv;
Pv0=
www.eeworm.com/read/393504/8281474
m sample_proposal.m
function particle= sample_proposal(particle, z,idf, R)
% Compute proposal distribution, then sample from it, and compute new
% particle weight.
xv= particle.xv;
Pv= particle.Pv;
xv0= xv;
Pv0=
www.eeworm.com/read/203062/15366811
h spemit.h
/*
====================================================================
SPEMIT
Emits a single particle as specified.
0.999 (PeterM 08-13-97) Inception.
============================================
www.eeworm.com/read/370635/9589705
extra entries.extra
D/mex///
/compile_mex.m///
/compute_quadrant_selection.m///
/evaluate_nbr_bits.m///
/evaluate_nbr_bits_wavelets.m///
/keep_above.m///
/keep_biggest.m///
/l2error.m///
/load_image.m///
/perfor
www.eeworm.com/read/287166/8714854
c t_spec.c
// Emacs style mode select -*- C++ -*-
//----------------------------------------------------------------------------
//
// $Id: t_spec.c,v 1.3 2001/03/13 22:14:20 stroggonmeth Exp $
//
// Copyright(C
www.eeworm.com/read/365862/9842918
m gmm_counting_algorithm.m
function w = gmm_counting_algorithm(g, prob, N)
%function w = gmm_counting_algorithm(g, prob, N)
%
% INPUTS:
% g - Gaussian mixture
% prob - probability mass to enclose [0, 1]
% N - numbe
www.eeworm.com/read/365862/9843012
m kernel_distance_bhattacharyya.m
function [Bc,Bd] = kernel_distance_bhattacharyya(g1, g2, N)
s = kernel_samples(g1, N); % use g1 as proposal
w1 = kernel_evaluate(g1, s);
w2 = kernel_evaluate(g2, s);
Bc = sum(sqrt(w1.*w2)./w1