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: Approximation and Online Algorithms; 16th International W Leah Epstein,Thomas Erlebach Conference proceedings 2018 Springer Nature Switzerl

[复制链接]
楼主: 烈酒
发表于 2025-4-1 03:24:10 | 显示全部楼层
发表于 2025-4-1 08:19:45 | 显示全部楼层
Advice Complexity of Priority Algorithmsorithms to have access to advice, i.e., side information precomputed by an all-powerful oracle. Obtaining lower bounds in the priority model without advice can be challenging and may involve intricate adversary arguments. Since the priority model with advice is even more powerful, obtaining lower bo
发表于 2025-4-1 13:52:27 | 显示全部楼层
Approximating Node-Weighted ,-MST on Planar Graphsation algorithm for this problem. We achieve this by utilizing the recent Lagrangian-multiplier preserving (LMP) primal-dual 3-approximation for the node-weighted prize-collecting Steiner tree problem by Byrka et al. (SWAT’16) and adopting an approach by Chudak et al. (Math. Prog. ’04) regarding Lag
发表于 2025-4-1 15:17:21 | 显示全部楼层
Exploring Sparse Graphs with Advice (Extended Abstract)ot of attention in the last decades and was analyzed in many different settings. The . is a theoretical and abstract model, where an algorithm has to decide how an agent, also called ., moves through a network with . vertices and . edges such that every point of interest is visited at least once. Fo
发表于 2025-4-1 22:19:58 | 显示全部楼层
 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, 2025-5-6 21:12
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