MARC Record from marc_columbia

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035 $a(OCoLC)on1058835840
035 $a(NNC)15135412
040 $aAU@$beng$erda$epn$cAU@$dUKMGB$dOCLCO$dAU@$dUAB$dZCU$dK6U$dNLW$dOCLCO
066 $c(S
015 $aGBB8H8388$2bnb
016 7 $a019051152$2Uk
020 $a9781351433495
020 $a1351433490
020 $z9780412314100
020 $a9781351433488
020 $a1351433482
020 $z041231410X
024 8 $a10.1007/978-1-4899-4483-2$2doi
035 $a(OCoLC)1058835840
037 $a9781351433488$bIngram Content Group
050 4 $aQA274.7.D34 1993
072 7 $aSCI$x064000$2bisacsh
072 7 $aTEC$x029000$2bisacsh
082 04 $a519.233
049 $aZCUA
100 1 $aDavis, M. H. A.
245 10 $aMarkov Models and Optimization.
264 1 $aBoca Raton$bRoutledge,$c2018.
264 4 $c©2018.
300 $a1 online resource (317 pages).
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aChapman and Hall/CRC Monographs on Statistics and Applied Probability ;$vv.49
588 $aDescription based on publisher supplied metadata and other sources.
504 $aIncludes bibliographical references and indexes.
650 0 $aMarkov processes.
650 0 $aMathematical optimization.
650 0 $aControl theory.
650 6 $aProcessus de Markov.
650 6 $aOptimisation mathématique.
650 6 $aThéorie de la commande.
650 7 $aSCIENCE / System Theory.$2bisacsh
650 7 $aTECHNOLOGY & ENGINEERING / Operations Research.$2bisacsh
650 7 $aMéthodes statistiques.$2eclas
650 7 $aProbabilités.$2eclas
650 7 $aControl theory.$2fast$0(OCoLC)fst00877085
650 7 $aMarkov processes.$2fast$0(OCoLC)fst01010347
650 7 $aMathematical optimization.$2fast$0(OCoLC)fst01012099
650 7 $aMarkov-Prozess$2gnd
650 7 $aOptimierung$2gnd
650 17 $aMarkov-processen.$2gtt
650 17 $aOptimaliseren.$2gtt
650 17 $aRegeltheorie.$2gtt
650 17 $aDynamische systemen.$2gtt
650 7 $aMarkov, Processus de.$2ram
650 7 $aOptimisation mathématique.$2ram
650 7 $aProbabilités.$2ram
650 7 $aCommande, Théorie de la.$2ram
655 0 $aElectronic books.
655 4 $aElectronic books.
776 08 $iPrint version$aDavis, M. H. A.$tMarkov Models and Optimization$dBoca Raton : Routledge,c2018$z9780412314100
830 0 $aChapman and Hall/CRC Monographs on Statistics and Applied Probability.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15135412$zTaylor & Francis eBooks
880 0 $6505-00$aCover -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- 1: Analysis, probability and stochastic processes -- 11 Analysis -- 12 Probability theory -- 13 Stochastic processes -- 14 Markov processes -- 15 Notes and references -- 2: Piecewise-deterministic Markov processes -- 21 Markov models and supplementary variables -- 22 Ordinary differential equations and vector fields -- 23 Simulation -- 24 Definition of the PDP -- 25 The strong Markov property -- 26 The extended generator of the PDP -- 27 Further Markov properties of the PDP -- 28 Notes and references -- 3: Distributions and expectations -- 31 The differential formula and transformations of PDPs -- 32 Expectations -- 33 Applications -- 34 Stationary distributions -- 35 Notes and references -- 4: Control theory -- 41 Feedback control of PDPs -- 42 Naïve dynamic programming -- 43 Relaxed controls -- 44 Control via discrete-time dynamic programming -- 45 Non-smooth analysis and deterministic optimal control -- 46 Necessary and sufficient conditions for optimality: the generalized Bellman equation -- 47 Discrete-stage Markov decision models -- 48 Notes and references -- 5: Control by intervention -- 51 Optimal stopping -- 52 Randomized stopping -- 53 Variational inequalities and the penalty method -- 54 Impulse control -- 55 Computational methods -- 56 Notes and references -- Appendix: Jump processes and their martingales -- A1 Definition of the jump process -- A2 Structure of stopping times and stopped σ-fields -- A3 Predictability -- A4 The single-jump process -- A5 Local martingale representation for the general jump process -- Bibliography -- Index of notation -- Subject index.
852 8 $blweb$hEBOOKS