Dynamic Programming and Optimal Control: (in 2 volumes) (Record no. 10663)

MARC details
000 -LEADER
fixed length control field 02261nam#a2200181ua#4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 950330s1995 maua b 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number v.1: 9781886529434
International Standard Book Number v.2: 9781886529441
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.703
Item number B462D
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Bertsekas, Dimitri P.
9 (RLIN) 12937
245 ## - TITLE STATEMENT
Title Dynamic Programming and Optimal Control: (in 2 volumes)
Statement of responsibility, etc. by Dimitri P. Bertsekas.
250 ## - EDITION STATEMENT
Edition statement 4th ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Belmont, Mass.
Name of publisher, distributor, etc. Athena Scientific
Date of publication, distribution, etc. 1995.
300 ## - PHYSICAL DESCRIPTION
Extent v.1: xx. 555p.; v.2: xxi, 695p.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note This book provides a very gentle introduction to basics of dynamic programming. I have never seen a book in mathematics or engineering which is more reader-friendly with respect to the presentation of theorems and examples. Most proofs cover almost every case without notorious "this is left to the reader as an exercise", and every example is accompanied with detailed steps for computation. Although this book is targeted for first-year graduate students, undergraduate students would not have much difficulty understanding most of the material. I can't say much about the coverage of the breadth since I am not an expert on dynamic programming, but the book seems to cover a good range of topics, from basic discrete finite-horizon problems to infinite-horizon problems, continuous-time problems, and approximate control. Unfortunately, the chapter on approximate control, which is the most fashionable topic today and a matter of fact the primary motivation for me to read this book, is focused mostly on delivering very basic intuitions and defers most of serious discussions to Volume II. I would've loved this book more if it contained numerical exercises as well. Although computational considerations are discussed time to time, most of the examples and exercise problems are analytical ones. This is unfortunate, because implementing an algorithm is often a very good way of understanding it. Since that dynamic programming has a lot of fascinating applications, implementing algorithms for such problems and seeing them work would help students gain interest on this topic. Sutton and Barto's reinforcement learning book certainly does a very good job on this aspect.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Dynamic programming.
9 (RLIN) 12938
Topical term or geographic name entry element Control theory.
9 (RLIN) 12939
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type Date due Date last checked out
        S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub   2022-12-13   519.703 B462D 11838 2022-12-13 2022-12-13 Book    
        S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub   2022-12-13   519.703 B462D 11882 2022-12-13 2022-12-13 Book    
        S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub   2022-12-13   519.703 B462D 11839 2022-12-13 2022-12-13 Book    
        S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub   2022-12-13 1 519.703 B462D 11883 2024-09-18 2022-12-13 Book 2024-12-05 2024-09-18