Hugendubel.info - Die B2B Online-Buchhandlung 

Merkliste
Die Merkliste ist leer.
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.

Stochastic Learning and Optimization

A Sensitivity-Based Approach
BuchGebunden
566 Seiten
Englisch
Springererschienen am12.10.2007
Performance optimization is vital in the design and operation of modern engineering systems. This book provides a unified framework based on a sensitivity point of view. It introduces new approaches and proposes new research topics.mehr
Verfügbare Formate
BuchGebunden
EUR213,99
BuchKartoniert, Paperback
EUR213,99
E-BookPDF1 - PDF WatermarkE-Book
EUR213,99

Produkt

KlappentextPerformance optimization is vital in the design and operation of modern engineering systems. This book provides a unified framework based on a sensitivity point of view. It introduces new approaches and proposes new research topics.
Details
ISBN/GTIN978-0-387-36787-3
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2007
Erscheinungsdatum12.10.2007
Seiten566 Seiten
SpracheEnglisch
Gewicht1108 g
IllustrationenXX, 566 p. 119 illus. With 212 Problems.
Artikel-Nr.10747904

Inhalt/Kritik

Inhaltsverzeichnis
Four Disciplines in Learning and Optimization.- Perturbation Analysis.- Learning and Optimization with Perturbation Analysis.- Markov Decision Processes.- Sample-Path-Based Policy Iteration.- Reinforcement Learning.- Adaptive Control Problems as MDPs.- The Event-Based Optimization - A New Approach.- Event-Based Optimization of Markov Systems.- Constructing Sensitivity Formulas.mehr
Kritik
From the reviews:



"The book is written by known contributor to the theory of Markov decision problems and the theory of queueing systems and it is chiefly based on recent results obtained by the author. ... The book provide good introductory materials for graduate students and engineers who wish to have an overview of learning and optimization theory, the related methodologies in different disciplines and their relations. Moreover, the book is useful in finding new research topics and in practical applications." (Vladimir Sobolev, Zentralblatt MATH, Vol. 1130, 2008)

"The systems studied in this book are stochastic dynamic systems ... . The book is very well written, and ... they are often presented in an intuitive way so that the study is really enjoyable. ... the subject of the book is very important and very interesting. ... It is intended for teachers, researchers, and graduate students who can recognize the practical and theoretical value of the methods described ... . strongly recommended for scholars in engineering, mathematics, computer science, artificial intelligence, and machine learning." (Lefteris Angelis, ACM Computing Reviews, Vol. 49 (12), December, 2008)

"The key point of this monograph is perturbation analysis ... . The book has appendices on Markov processes, stochastic matrices and queueing theory. Every chapter contains a number of problems for self-study. Along with known/proved statements, the reader can find many open problems for future research. Finally, the book can become the basis for several undergraduate lecture courses." (Aleksey B. Piunovskiy, Mathematical Reviews, Issue 2009 f)
mehr

Schlagworte