๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Stochastic Processes, Optimization, and Control Theory: Applications in Financial Engineering, Queueing Networks, and Manufacturing Systems: A Volume in ... in Operations Research & Management Science)

โœ Scribed by Houmin Yan, George Yin, Qing Zhang


Publisher
Springer
Year
2006
Tongue
English
Leaves
396
Edition
1
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


This edited volume contains 16 research articles. It presents recent and pressing issues in stochastic processes, control theory, differential games, optimization, and their applications in finance, manufacturing, queueing networks, and climate control. One of the salient features is that the book is highly multi-disciplinary. The book is dedicated to Professor Suresh Sethi on the occasion of his 60th birthday, in view of his distinguished career.


๐Ÿ“œ SIMILAR VOLUMES


Stochastic Processes, Optimization, and
โœ K. E. Avrachenkov, L. D. Finlay (auth.), Houmin Yan, George Yin, Qing Zhang (eds ๐Ÿ“‚ Library ๐Ÿ“… 2006 ๐Ÿ› Springer US ๐ŸŒ English

<p><P>This edited volume contains sixteen research articles and presents recent and pressing issues in stochastic processes, control theory, differential games, optimization, and their applications in finance, manufacturing, queueing networks, and climate control. One of the salient features is that

Stochastic Modeling and Optimization: Wi
โœ David D. Yao, Hanqin Zhang, Xun Yu Zhou ๐Ÿ“‚ Library ๐Ÿ“… 2003 ๐Ÿ› Springer ๐ŸŒ English

This books covers the broad range of research in stochastic models and optimization. Applications presented include networks, financial engineering, production planning, and supply chain management. Each contribution is aimed at graduate students working in operations research, probability, and stat

Stochastic Optimization Methods: Applica
โœ Kurt Marti ๐Ÿ“‚ Library ๐Ÿ“… 2024 ๐Ÿ› Springer ๐ŸŒ English

<p><span>This book examines optimization problems that in practice involve random model parameters. It outlines the computation of robust optimal solutions, i.e., optimal solutions that are insensitive to random parameter variations, where appropriate deterministic substitute problems are needed. Ba

Stochastic Optimization Methods: Applica
โœ Kurt Marti ๐Ÿ“‚ Library ๐Ÿ“… 2015 ๐Ÿ› Springer ๐ŸŒ English

Features optimization problems that in practice involve random model parameters Provides applications from the fields of robust optimal control / design in case of stochastic uncertainty Includes numerous references to stochastic optimization, stochastic programming and its applications to enginee

Stochastic Optimization Methods: Applica
โœ Kurt Marti (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2015 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

<p><p>This book examines optimization problems that in practice involve random model parameters. It details the computation of robust optimal solutions, i.e., optimal solutions that are insensitive with respect to random parameter variations, where appropriate deterministic substitute problems are n