MARC details
000 -LEADER |
fixed length control field |
04933cam a2200421Mi 4500 |
001 - CONTROL NUMBER |
control field |
ocn830162389 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OCoLC |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240726105342.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
130316s2012 si o 000 0 eng d |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
EBLCP |
Language of cataloging |
eng |
Description conventions |
pn |
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rda |
Transcribing agency |
EBLCP |
Modifying agency |
OCLCO |
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YDXCP |
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NT |
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DEBSZ |
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OCLCQ |
-- |
OCLCF |
-- |
OCLCQ |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781848167940 |
Qualifying information |
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050 04 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA274 |
Item number |
.E936 2012 |
049 ## - LOCAL HOLDINGS (OCLC) |
Holding library |
MAIN |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Piunovskiy, A. B. |
Relator term |
Author |
245 10 - TITLE STATEMENT |
Title |
Examples in Markov Decision Processes |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
Singapore : |
Name of publisher, distributor, etc. |
World Scientific Publishing Company, |
Date of publication, distribution, etc. |
(c)2012. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
1 online resource (308 pages). |
336 ## - CONTENT TYPE |
Content type term |
text |
Content type code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
computer |
Media type code |
c |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
online resource |
Carrier type code |
cr |
Source |
rdacarrier |
347 ## - DIGITAL FILE CHARACTERISTICS |
File type |
data file |
Source |
rda |
490 1# - SERIES STATEMENT |
Series statement |
Imperial College Press Optimization Series ; |
Volume # |
v. 2 |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Includes bibliographies and index. |
505 00 - FORMATTED CONTENTS NOTE |
Formatted contents note |
Preface; 1. Finite-Horizon Models; 1.1 Preliminaries; 1.2 Model Description; 1.3 Dynamic Programming Approach; 1.4 Examples; 1.4.1 Non-transitivity of the correlation; 1.4.2 The more frequently used control is not better; 1.4.3 Voting; 1.4.4 The secretary problem; 1.4.5 Constrained optimization; 1.4.6 Equivalent Markov selectors in non-atomic MDPs; 1.4.7 Strongly equivalent Markov selectors in nonatomic MDPs; 1.4.8 Stock exchange; 1.4.9 Markov or non-Markov strategy? Randomized or not? When is the Bellman principle violated?; 1.4.10 Uniformly optimal, but not optimal strategy. |
505 00 - FORMATTED CONTENTS NOTE |
Formatted contents note |
1.4.11 Martingales and the Bellman principle1.4.12 Conventions on expectation and infinities; 1.4.13 Nowhere-differentiable function vt(x); discontinuous function vt(x); 1.4.14 The non-measurable Bellman function; 1.4.15 No one strategy is uniformly -optimal; 1.4.16 Semi-continuous model; 2. Homogeneous Infinite-Horizon Models: Expected Total Loss; 2.1 Homogeneous Non-discounted Model; 2.2 Examples; 2.2.1 Mixed Strategies; 2.2.2 Multiple solutions to the optimality equation; 2.2.3 Finite model: multiple solutions to the optimality equation; conserving but not equalizing strategy. |
505 00 - FORMATTED CONTENTS NOTE |
Formatted contents note |
2.2.4 The single conserving strategy is not equalizing and not optimal2.2.5 When strategy iteration is not successful; 2.2.6 When value iteration is not successful; 2.2.7 When value iteration is not successful: positive model I; 2.2.8 When value iteration is not successful: positive model II; 2.2.9 Value iteration and stability in optimal stopping problems; 2.2.10 A non-equalizing strategy is uniformly optimal; 2.2.11 A stationary uniformly -optimal selector does not exist (positive model); 2.2.12 A stationary uniformly -optimal selector does not exist (negative model). |
505 00 - FORMATTED CONTENTS NOTE |
Formatted contents note |
2.2.13 Finite-action negative model where a stationary uniformly -optimal selector does not exist2.2.14 Nearly uniformly optimal selectors in negative models; 2.2.15 Semi-continuous models and the blackmailer's dilemma; 2.2.16 Not a semi-continuous model; 2.2.17 The Bellman function is non-measurable and no one strategy is uniformly -optimal; 2.2.18 A randomized strategy is better than any selector (finite action space); 2.2.19 The fluid approximation does not work; 2.2.20 The fluid approximation: refined model; 2.2.21 Occupation measures: phantom solutions. |
505 00 - FORMATTED CONTENTS NOTE |
Formatted contents note |
2.2.22 Occupation measures in transient models2.2.23 Occupation measures and duality; 2.2.24 Occupation measures: compactness; 2.2.25 The bold strategy in gambling is not optimal (house limit); 2.2.26 The bold strategy in gambling is not optimal (inflation); 2.2.27 Search strategy for a moving target; 2.2.28 The three-way duel ("Truel"); 3. Homogeneous Infinite-Horizon Models: Discounted Loss; 3.1 Preliminaries; 3.2 Examples; 3.2.1 Phantom solutions of the optimality equation; 3.2.2 When value iteration is not successful: positive model. |
500 ## - GENERAL NOTE |
General note |
3.2.3 A non-optimal strategy for which v x solves the optimality equation. |
520 0# - SUMMARY, ETC. |
Summary, etc. |
This invaluable book provides approximately eighty examples illustrating the theory of controlled discrete-time Markov processes. Except for applications of the theory to real-life problems like stock exchange, queues, gambling, optimal search etc, the main attention is paid to counter-intuitive, unexpected properties of optimization problems. Such examples illustrate the importance of conditions imposed in the theorems on Markov Decision Processes. Many of the examples are based upon examples published earlier in journal articles or textbooks while several other examples are new. The aim was. |
530 ## - COPYRIGHT INFORMATION: |
COPYRIGHT INFORMATION |
COPYRIGHT NOT covered - Click this link to request copyright permission: |
Uniform Resource Identifier |
<a href="b">b</a> |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Markov processes. |
655 #1 - INDEX TERM--GENRE/FORM |
Genre/form data or focus term |
Electronic Books. |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=545467&site=eds-live&custid=s3260518">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=545467&site=eds-live&custid=s3260518</a> |
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Click to access digital title | log in using your CIU ID number and my.ciu.edu password |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) |
DONATED BY: |
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VENDOR |
EBSCO |
Classification part |
QA. |
PUBLICATION YEAR |
2012 |
LOCATION |
ONLINE |
REQUESTED BY: |
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NFIC |
Source of classification or shelving scheme |
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994 ## - |
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92 |
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NT |
902 ## - LOCAL DATA ELEMENT B, LDB (RLIN) |
a |
1 |
b |
Cynthia Snell |
c |
1 |
d |
Cynthia Snell |