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: System Modelling and Optimization; Proceedings of the 1 Masao Iri,Keiji Yajima Conference proceedings 1988 Springer-Verlag London 1988 Sess

[复制链接]
楼主: DUCT
发表于 2025-3-25 06:02:08 | 显示全部楼层
Lecture Notes in Control and Information Scienceshttp://image.papertrans.cn/t/image/884492.jpg
发表于 2025-3-25 10:50:01 | 显示全部楼层
发表于 2025-3-25 13:59:04 | 显示全部楼层
发表于 2025-3-25 18:32:58 | 显示全部楼层
System Modelling and Optimization978-3-540-39164-7Series ISSN 0170-8643 Series E-ISSN 1610-7411
发表于 2025-3-25 20:19:05 | 显示全部楼层
发表于 2025-3-26 00:57:31 | 显示全部楼层
发表于 2025-3-26 07:48:52 | 显示全部楼层
Newton-type algorithms with nonmonotone line search for large-scale unconstrained optimization,sed employ a nonmonotone steplength selection rule along the search direction which is determined by means of a Truncated-Newton algorithm. Numerical results obtained for a set of test problems are reported.
发表于 2025-3-26 10:02:30 | 显示全部楼层
Conference proceedings 1988and Optimization, Tokyo, Japan, August 31 - September 4, 1987, as well as 4 papers for the plenary sessions of the Conference. The aim of the conference was to discuss recent advances in the mathematical representation of engineering, sociotechnical, socioeconomic systems as well as in the optimization of their performances."
发表于 2025-3-26 14:30:16 | 显示全部楼层
Chandrasekahr filtering and smoothing methods given covariance model and properties of X and Y funcon. In addition, another type of Chandrasekhar‘s X- and Y-functions that is different from the original ones in terms of numerical stability and accuracy and the corresponding Riccati differential equations systems are presented. Similar formulas are also given for this type of Chandrasekhar‘s X- and Y-functions.
发表于 2025-3-26 18:10:48 | 显示全部楼层
Centered newton method for mathematical programming,lso given by applying the Newton method to a projected system of the complementarity equations. These two directions guide the generated sequence of the approximations towards the solution and the center variety respectively. A class of ‘penalized norms’ and ‘guiding cones’ is also introduced for choosing step lengths in bivariate search.
 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, 2025-5-28 01:06
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