Randomized Relaxation Methods for the Maximum Feasible Subsystem Problem

Author:

Amaldi Edoardo,Belotti Pietro,Hauser Raphael

Publisher

Springer Berlin Heidelberg

Reference23 articles.

1. Amaldi, E.: The maximum feasible subsystem problem and some applications. In: Agnetis, A., Di Pillo, G. (eds.) Modelli e Algoritmi per l’ottimizzazione di sistemi complessi, Pitagora Editrice Bologna (2003)

2. Amaldi, E., Hauser, R.: Boundedness theorems for the relaxation method. Under minor revision for Mathematics of Oper. Res., available from Optimization Online

3. Amaldi, E., Kann, V.: The complexity and approximability of finding maximum feasible subsystems of linear relations. Theoretical Computer Science 147, 181–210 (1995)

4. Amaldi, E., Pfetsch, M.E., Trotter Jr., L.E.: On the maximum feasible subsystem problem, IISs and IIS-hypergraphs. Math. Programming A 95, 533–554 (2003)

5. Bennett, K.P., Bredensteiner, E.: A parametric optimization method for machine learning. INFORMS Journal on Computing 9, 311–318 (1997)

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Randomized projections for corrupted linear systems;AIP Conference Proceedings;2018

2. The Maximum Consensus Problem: Recent Algorithmic Advances;Synthesis Lectures on Computer Vision;2017-02-27

3. A deterministic rescaled perceptron algorithm;Mathematical Programming;2015-01-17

4. Column Generation for the Minimum Hyperplanes Clustering Problem;INFORMS Journal on Computing;2013-08

5. A relaxable service selection algorithm for QoS-based web service composition;Information and Software Technology;2011-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3