代码搜索：Particles
找到约 717 项符合「Particles」的源代码
代码结果 717
www.eeworm.com/read/203062/15366070
inp cstest.inp
CsTest.inp
{
High-energy electron bunch enters a neutral Cs gas in cylindrical geometry --
The purpose of this input file is to test the implementation of the
tunneling ionization for Cs.
Collision
www.eeworm.com/read/203062/15366119
inp uspas01.inp
uspas01
{
This input file, uspas01.inp, was written by David Bruhwiler
for "Object Oriented Computational Accelerator Physics," a
two week course presented at the University of Colorado for
the U.S.
www.eeworm.com/read/203062/15366140
inp uspas03.inp
uspas03
{
This input file, uspas03.inp, was written by David Bruhwiler
for "Object Oriented Computational Accelerator Physics," a
two week course presented at the University of Colorado for
the U.S.
www.eeworm.com/read/203062/15366143
inp uspas02.inp
uspas02
{
This input file, uspas02.inp, was written by David Bruhwiler
for "Object Oriented Computational Accelerator Physics," a
two week course presented at the University of Colorado for
the U.S.
www.eeworm.com/read/203062/15366813
h ptclgrp.h
/*
====================================================================
PARTICLEGROUP.H
This class defines a group of particles which are related by a common
charge to mass ratio and a common comp
www.eeworm.com/read/189641/8464226
m fastslam1_sim.m
function data= fastslam1_sim(lm, wp)
%function data= fastslam1_sim(lm, wp)
%
% INPUTS:
% lm - set of landmarks
% wp - set of waypoints
%
% OUTPUTS:
% data - set of particles representin
www.eeworm.com/read/431991/8640382
cpp mopso.cpp
//mopso con epsilon dominance y clusters
#include
#include
#include
#include
#include
#include "efile.h"
using namespace std;
MOPSO::~MOPSO(){
}
M
www.eeworm.com/read/431991/8640387
cpp~ mopso.cpp~
//mopso con epsilon dominance y clusters
#include
#include
#include
#include
#include
#include "efile.h"
using namespace std;
double h(double _f1,
www.eeworm.com/read/183015/9180936
m stdpf1.m
% 一维particle滤波
% Process function:
% x(t) = x(t-1)./2 + 25*x(t-1)./(1 + x(t-1).^2) + 8*cos(1.2*t) + w(t);
%
% Measurement function:
% y(t) = (x(t).^2)/20 + e(t)
%
% Date: 3/
www.eeworm.com/read/371851/9533274
m mcl.m
%Monte-carlo based localisation
%note this is not coded efficiently but rather to make the ideas clear
%all loops should be vectorized but that gets a little matlab-speak intensive
%and may obliter