找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Computations with Markov Chains; Proceedings of the 2 William J. Stewart Conference proceedings 1995 Springer Science+Business Media New Yo

[复制链接]
查看: 53265|回复: 64
发表于 2025-3-21 20:03:57 | 显示全部楼层 |阅读模式
书目名称Computations with Markov Chains
副标题Proceedings of the 2
编辑William J. Stewart
视频video
图书封面Titlebook: Computations with Markov Chains; Proceedings of the 2 William J. Stewart Conference proceedings 1995 Springer Science+Business Media New Yo
描述.Computations with Markov Chains. presents the edited andreviewed proceedings of the Second International Workshop on theNumerical Solution of Markov Chains, held January 16--18, 1995, inRaleigh, North Carolina. New developments of particular interestinclude recent work on stability and conditioning, Krylovsubspace-based methods for transient solutions, quadratic convergentprocedures for matrix geometric problems, further analysis of the GTHalgorithm, the arrival of stochastic automata networks at theforefront of modelling stratagems, and more. .An authoritative overview of the field for applied probabilists,numerical analysts and systems modelers, including computer scientistsand engineers. .
出版日期Conference proceedings 1995
关键词Analysis; Bernoulli process; Markov Chain; Markov Chains; Markov process; Sage; algorithms; automata; comput
版次1
doihttps://doi.org/10.1007/978-1-4615-2241-6
isbn_softcover978-1-4613-5943-2
isbn_ebook978-1-4615-2241-6
copyrightSpringer Science+Business Media New York 1995
The information of publication is updating

书目名称Computations with Markov Chains影响因子(影响力)




书目名称Computations with Markov Chains影响因子(影响力)学科排名




书目名称Computations with Markov Chains网络公开度




书目名称Computations with Markov Chains网络公开度学科排名




书目名称Computations with Markov Chains被引频次




书目名称Computations with Markov Chains被引频次学科排名




书目名称Computations with Markov Chains年度引用




书目名称Computations with Markov Chains年度引用学科排名




书目名称Computations with Markov Chains读者反馈




书目名称Computations with Markov Chains读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 22:04:09 | 显示全部楼层
发表于 2025-3-22 04:26:53 | 显示全部楼层
Molecular Basis of Thyroid Hormone Action, a product form for both complete-batch blocking and partial-batch blocking, and we derive the generating functions of the normalization constants for partial-batch blocking. We primarily focus on the Bernoulli-Poisson-Pascal (BPP) special case in which the batches have linear state-dependent arriva
发表于 2025-3-22 05:30:26 | 显示全部楼层
发表于 2025-3-22 12:22:27 | 显示全部楼层
Exact Methods for the Transient Analysis of Nonhomogeneous Continuous Time Markov Chains,lts of this analysis is, that for a certain class of useful nonhomogeneous CTMCs, a very simple method exists for transforming such a CTMC (and not just a periodic one) to an equivalent homogeneous CTMC that is then amenable to such homogeneous methods as Jensen’s method (also known as uniformizatio
发表于 2025-3-22 16:38:34 | 显示全部楼层
发表于 2025-3-22 19:13:50 | 显示全部楼层
Physiopathologie de la douleur chroniquemes for discrete time regular Markov chains. The algorithms are based on the GTH algorithm for computing a stationary vector. We show that although all of these quantities can easily be computed from any one of them, the standard algebraic relations do not produce algorithms that preserve low componentwise relative error in each of them.
发表于 2025-3-22 22:55:58 | 显示全部楼层
发表于 2025-3-23 01:50:35 | 显示全部楼层
http://image.papertrans.cn/c/image/233268.jpg
发表于 2025-3-23 06:56:33 | 显示全部楼层
https://doi.org/10.1007/978-1-4615-2241-6Analysis; Bernoulli process; Markov Chain; Markov Chains; Markov process; Sage; algorithms; automata; comput
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-7-3 09:48
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表