Online Stochastic Combinatorial Optimization pdf epub mobi txt 电子书 下载 2024


Online Stochastic Combinatorial Optimization

简体网页||繁体网页
Hentenryck, Pascal Van/ Bent, Russell
Mit Pr
2006-10
236
$ 39.55
HRD
9780262220804

图书标签: 随机过程  计算机科学  组合优化  在线算法   


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发表于2024-12-25

Online Stochastic Combinatorial Optimization epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Online Stochastic Combinatorial Optimization epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Online Stochastic Combinatorial Optimization pdf epub mobi txt 电子书 下载 2024



图书描述

This title offers a framework for online decision making under uncertainty and time constraints, with online stochastic algorithms for implementing the framework, performance guarantees, and demonstrations of a variety of applications. Online decision making under uncertainty and time constraints represents one of the most challenging problems for robust intelligent agents. In an increasingly dynamic, interconnected, and real-time world, intelligent systems must adapt dynamically to uncertainties, update existing plans to accommodate new requests and events, and produce hight-quality decisions under severe time constraints. Such online decision-making applications are becoming increasingly common: ambulance dispatching and emergency city-evacuation routing, for example, are inherently online decision-making problems; other applications include packet scheduling for Internet communications and reservation systems. This book presents a novel framework, online stochastic optimization, to address this challenge. This framework assumes that the distribution of future requests, or an approximation thereof, is available for sampling, as is the case in many applications that make either historical data or predictive models available. It assumes additionally that the distribution of future requests is independent of current decisions, which is also the case in a variety of applications and holds significant computational advantages. The book presents several online stochastic algorithms implementing the framework, provides performance guarantees, and demonstrates a variety of applications. It discusses how to relax some of the assumptions in using historical sampling and machine learning and analyzes different underlying algorithmic problems. And finally, the book discusses the framework's possible limitations and suggests directions for future research.

Online Stochastic Combinatorial Optimization 下载 mobi epub pdf txt 电子书

著者简介

Pascal Van Hentenryck is Professor in the Department of Computer Science at Brown University. He is the author or editor of several MIT Press books.

Russell Bent is a Ph.D. graduate of Brown University, where he worked on online optimization. He recently joined the technical staff of Los Alamos National Laboratories.


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