代码搜索:Inversion
找到约 626 项符合「Inversion」的源代码
代码结果 626
www.eeworm.com/read/304909/13783534
m inversionmutation.m
function [child] = inversionMutation(par,bounds,genInfo,Ops)
% Inversion mutation inverts the bits or permutation between two
% cut points.
%
% function [newSol] = inversionMutation(parent,bounds
www.eeworm.com/read/482374/6623675
src cmlclim.src
/*
** cmlclim.src CMLClimits - confidence limits by inversion of
** Wald statistic
**
** (C) Copyright 1994-1996 Aptech Systems, Inc.
** All Rights Reserved.
**
www.eeworm.com/read/230811/14273507
m colortog.m
%This program changes the MATLAB default settings for plotting
% black type with white background and no inversion of colour on printing
set(0,'defaultfigurepapertype','a4letter')
disp('Paper type
www.eeworm.com/read/217301/14969619
m inversionmutation.m
function [child] = inversionMutation(par,bounds,genInfo,Ops)
% Inversion mutation inverts the bits or permutation between two
% cut points.
%
% function [newSol] = inversionMutation(parent,bounds
www.eeworm.com/read/303435/3813594
clean
#! /bin/sh
# Clean up residue from runs
demo=2
rm -f record
(cd model.dir; Clean)
(cd inversion.dir; Clean)
www.eeworm.com/read/303435/3813616
clean
#! /bin/sh
# Clean up residue from runs
demo=3
rm -f record
(cd model.dir; Clean)
(cd inversion.dir; Clean)
www.eeworm.com/read/303435/3813657
clean
#! /bin/sh
# Clean up residue from runs
demo=1
rm -f record
(cd model.dir; Clean)
(cd inversion.dir; Clean)
www.eeworm.com/read/388600/2548955
bib paper.bib
@book{cwp,
author = {N[orman] Bleistein and J[] W[] Stockwell and J[ack] K[] Cohen},
title = {Mathematics of Multidimensional Seismic Imaging,
Migration, and Inversion},
publisher = {Sprin
www.eeworm.com/read/388600/2549383
bib jfc.bib
@book{Claerbout.blackwell.92,
author = {J[on] F[] Claerbout},
publisher = {Blackwell Scientific Publications},
title = {{Earth Soundings Analysis: Processing Versus Inversion}},
year = {19
www.eeworm.com/read/236268/14023875
gga config-double.gga
# doubles all values in Falkenhauers paper
populationsize = 100
crossover = 24
mutation = 8
inversion = 8
allelemutationprob = 0.2
coloringalgorithm = firstfit
nodes = 1000
seed = 5
edgeprobability =