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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-012.mrc:116324278:2929
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-012.mrc:116324278:2929?format=raw

LEADER: 02929cam a22003614a 4500
001 5625586
005 20221121195127.0
008 060331t20062006nyu b 001 0 eng c
010 $a 2005938212
016 7 $a97754267X$2GyFmDB
020 $a0387304096
024 3 $a9780387304090
035 $a(OCoLC)ocm65427502
035 $a(NNC)5625586
035 $a5625586
040 $aOHX$cOHX$dBAKER$dZCU$dOrLoB-B
042 $apcc
050 4 $aQA274$b.C47 2006
072 7 $aQA$2lcco
100 1 $aChornei, Ruslan K.$0http://id.loc.gov/authorities/names/nb2006009543
245 10 $aControl of spatially structured random processes and random fields with applications /$cby Ruslan K. Chornei, Hans Daduna, Pavel S. Knopov.
260 $aNew York, N.Y. :$bSpringer,$c[2006], ©2006.
300 $axi, 261 pages ;$c25 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aNonconvex optimization and its applications ;$vv. 86
505 00 $g1.$tIntroduction -- $g2.$tPrerequisites from the theory of stochastic processes and stochastic dynamic optimization -- $g3.$tLocal control of discrete time interacting Markov processes with graph structured state space -- $g4.$tSequential stochastic games with distributed players on graphs -- $g5.$tLocal control of continuous time interacting Markov and semi-Markov processes with graph structured state space -- $g6.$tConnections with optimization of random field in different areas.
520 1 $a"This book is devoted to the study and optimization of spatiotemporal stochastic processes, that is, processes which develop simultaneously in space and time under random influences. These processes are seen to occur almost everywhere when studying the global behavior of complex systems." "Classical stochastic dynamic optimization forms the framework of the book. Taken as a whole, the project undertaken in the book is to establish optimality or near-optimality for Markovian policies in the control of spatiotemporal Markovian processes. The authors apply this general principle to different frameworks of Markovian systems and processes. Depending on the structure of the systems and the surroundings of the model classes, the authors arrive at different levels of simplicity for the policy classes which encompass optimal or nearly optimal policies. A set of examples accompanies the theoretical findings, and these examples should demonstrate some important application areas for the theorems discussed."--BOOK JACKET.
650 0 $aStochastic processes.$0http://id.loc.gov/authorities/subjects/sh85128181
700 1 $aDaduna, Hans,$d1947-$0http://id.loc.gov/authorities/names/n86849140
700 1 $aKnopov, Pavel S.$q(Pavel Solomonovich)$0http://id.loc.gov/authorities/names/n80124344
830 0 $aNonconvex optimization and its applications ;$vv. 86.$0http://id.loc.gov/authorities/names/n94023244
852 00 $boff,eng$hQA274$i.C47 2006g