LEADER 02389nam0 22005293i 450 001 VAN0249418 005 20231207100401.541 017 70$2N$a9783030459826 100 $a20220831d2020 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aMarkov Chains$eGibbs Fields, Monte Carlo Simulation and Queues$fPierre Brémaud 205 $a2. ed 210 $aCham$cSpringer$d2020 215 $axvi, 557 p.$cill.$d24 cm 410 1$1001VAN0033353$12001 $aTexts in applied mathematics$1210 $aNew York [etc.]$cSpringer$v31 500 1$3VAN0249419$aMarkov Chains : Gibbs Fields, Monte Carlo Simulation and Queues$92905469 606 $a60J10$xMarkov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020]$3VANC020036$2MF 606 $a60-XX$xProbability theory and stochastic processes [MSC 2020]$3VANC020428$2MF 606 $a60J27$xContinuous-time Markov processes on discrete state spaces [MSC 2020]$3VANC021553$2MF 606 $a60G60$xRandom fields [MSC 2020]$3VANC023477$2MF 606 $a60K10$xApplications of renewal theory (reliability, demand theory, etc.) [MSC 2020]$3VANC029272$2MF 610 $aElectrical Engineering$9KW:K 610 $aErgodicity$9KW:K 610 $aGibbs Fields$9KW:K 610 $aLinear optimization$9KW:K 610 $aMarkov Chains$9KW:K 610 $aMarkov Fields$9KW:K 610 $aMartingales$9KW:K 610 $aMonte-Carlo Simulation$9KW:K 610 $aOperations Research$9KW:K 610 $aQueueing Theory$9KW:K 610 $aR egenerative process$9KW:K 610 $aRenewal theory$9KW:K 610 $aStochastic models$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aBrémaud$bPierre$3VANV042101$056619 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-45982-6$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0249418 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 4730 $e08eMF4730 20220831 996 $aMarkov Chains : Gibbs Fields, Monte Carlo Simulation and Queues$92905469 997 $aUNICAMPANIA