LEADER 00939nam0-22003251i-450- 001 990008100660403321 005 20050502102151.0 020 $aIT$b719867 035 $a000810066 035 $aFED01000810066 035 $a(Aleph)000810066FED01 035 $a000810066 100 $a20050428d1970----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aStruttura capitalista, lotte sociali e prassi di chiesa$fAlfonso Carlos Comin 210 $aMilano$cJaca book$d1970 215 $a315 p.$d21 cm 225 1 $aPiccola serie 300 $aTrad. di Luca Lambertini, Gianna Paglia 676 $a282.46$v21$zita 700 1$aComin,$bAlfonso Carlos$0497566 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008100660403321 952 $aXI G C 20$bs.i.$fDFD 959 $aDFD 996 $aStruttura capitalista, lotte sociali e prassi di chiesa$9753774 997 $aUNINA LEADER 01050nam0-2200301 --450 001 9910275658303321 005 20180703121303.0 017 70$a288723$2U 020 $aIT$b1935 843 100 $a20180703d1934----km y0itay50 ba 101 0 $aita 102 $aIT 105 $aa 001yy 200 1 $a<>merceologia applicata ai trasporti$enozioni di carattere generale sulle merci con particolare riguardo al loro trasporto per ferrovia$edalle lezioni tenute al Personale delle Ferrovie dello Stato ...$fRomolo Guasco 210 $a[S.l.]$ca cura del Collegio nazionale degli Ingegneri ferroviari italiani$d1934 215 $a435 p.$cill.$d19 cm 300 $aSuppl. n. 4 a "La tecnica professionale". 610 0 $aMerceologia 610 0 $aMerci$aTrasporto 676 $a338.02$v19 700 1$aGuasco,$bRomolo$0750495 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910275658303321 952 $aF4/2$b747$fDINTR 959 $aDINTR 996 $aMerceologia applicata ai trasporti$91509884 997 $aUNINA LEADER 05401oam 2200565 450 001 9910779883803321 005 20190911112729.0 010 $a981-4513-01-6 035 $a(OCoLC)852150965 035 $a(MiFhGG)GVRL8RHC 035 $a(EXLCZ)992550000001096053 100 $a20130514h20132013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 00$aStochastic simulation optimization for discrete event systems $eperturbation analysis, ordinal optimization and beyond /$feditors, Chun-Hung Chen, George Mason University, USA, Qing-Shan Jia, Tsinghua University, China, Loo Hay Lee, National University of Singapore, Singapore 210 $aHackensack, NJ $cWorld Scientific$dc2013 210 1$aNew Jersey :$cWorld Scientific,$d[2013] 210 4$d?2013 215 $a1 online resource (xxviii, 245 pages) $cillustrations 225 0 $aGale eBooks 300 $aDescription based upon print version of record. 311 $a981-4513-00-8 311 $a1-299-71377-7 320 $aIncludes bibliographical references. 327 $aPreface; Foreword: A Tribute to a Great Leader in Perturbation Analysis and Ordinal Optimization; Foreword: The Being and Becoming of Perturbation Analysis; Foreword: Remembrance of Things Past; Contents; Part I: Perturbation Analysis; Chapter 1. The IPA Calculus for Hybrid Systems; 1.1. Introduction; 1.2. Perturbation Analysis of Hybrid Systems; 1.2.1. Infinitesimal Perturbation Analysis (IPA): The IPA calculus; 1.3. IPA Properties; 1.4. General Scheme for Abstracting DES to SFM; 1.5. Conclusions and FutureWork; References 327 $aChapter 2. Smoothed Perturbation Analysis: A Retrospective and Prospective Look2.1. Introduction; 2.2. Brief History of SPA; 2.3. Another Example; 2.4. Overview of a General SPA Framework; 2.5. Applications; 2.5.1. Queueing; 2.5.2. Inventory; 2.5.3. Finance; 2.5.4. Stochastic Activity Networks (SANs); 2.5.5. Others; 2.6. Random Retrospective and Prospective Concluding Remarks; Acknowledgements; References; Chapter 3. Perturbation Analysis and Variance Reduction in Monte Carlo Simulation; 3.1. Introduction; 3.2. Systematic and Generic Control Variate Selection 327 $a3.2.1. Control variate technique: a brief review3.2.2. Parametrized estimation problems; 3.2.3. Deterministic function approximation and generic CV selection; 3.3. Control Variates for Sensitivity Estimation; 3.3.1. A parameterized estimation formulation of sensitivity estimation; 3.3.2. Finite difference based controls; 3.3.3. Illustrating example; 3.4. Database Monte Carlo (DBMC) Implementation; 3.5. Conclusions; Acknowledgements; References; Chapter 4. Adjoints and Averaging; 4.1. Introduction; 4.2. Adjoints: Classical Setting; 4.3. Adjoints: Waiting Times; 4.4. Adjoints: Vector Recursions 327 $a4.5. Averaging4.6. Concluding Remarks; References; Chapter 5. Infinitesimal Perturbation Analysis and Optimization Algorithms; 5.1. Preliminary Remarks; 5.2. Motivation; 5.3. Single-server Queues; 5.3.1. Controlled single-server queue; 5.3.2. Infinitesimal perturbation analysis; 5.3.3. Optimization algorithm; 5.4. Convergence; 5.4.1. Stochastic approximation convergence theorem; 5.4.2. Updating after every busy period; 5.4.3. Updating after every service time; 5.4.4. Example; 5.5. Final Remarks; References; Chapter 6. Simulation-based Optimization of Failure-prone Continuous Flow Lines 327 $a6.1. Introduction6.2. Two-machine Continuous Flow Lines; 6.3. Gradient Estimation of a Two-machine Line; 6.4. Modeling Assembly/Disassembly Networks Subject to TDF Failures with Stochastic Fluid Event Graphs; 6.5. Evolution Equations and Sample Path Gradients; 6.6. Optimization of Stochastic Fluid Event Graphs; 6.7. Conclusion; References; Chapter 7. Perturbation Analysis, Dynamic Programming, and Beyond; 7.1. Introduction; 7.2. Perturbation Analysis of Queueing Systems Based on Perturbation Realization Factors; 7.2.1. Performance gradient; 7.2.2. Policy iteration 327 $a7.3. Performance Optimization of Markov Systems Based on Performance Potentials 330 $aDiscrete event systems (DES) have become pervasive in our daily lives. Examples include (but are not restricted to) manufacturing and supply chains, transportation, healthcare, call centers, and financial engineering. However, due to their complexities that often involve millions or even billions of events with many variables and constraints, modeling these stochastic simulations has long been a ""hard nut to crack"". The advance in available computer technology, especially of cluster and cloud computing, has paved the way for the realization of a number of stochastic simulation optimization f 606 $aDiscrete-time systems$xMathematical models 606 $aPerturbation (Mathematics) 606 $aSystems engineering$xComputer simulaton 615 0$aDiscrete-time systems$xMathematical models. 615 0$aPerturbation (Mathematics) 615 0$aSystems engineering$xComputer simulaton. 676 $a003/.83 702 $aChen$b Chun-Hung$f1964- 702 $aJia$b Qing-Shan$f1980- 702 $aLee$b Loo Hay 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910779883803321 996 $aStochastic simulation optimization for discrete event systems$93870987 997 $aUNINA LEADER 01362nam0 22003251i 450 001 UON00379483 005 20231205104520.399 010 $a978-88-625-0016-6 100 $a20100325d2009 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aOltre l'orientalismo e l'occidentalismo$ela rappresentazione dell'Altro nello spazio euro-mediterraneo$fa cura di Roberto Gritti, Marco Bruno e Patrizia Laurano 205 $a1 ed 210 $aMilano$cGuerini e Associati$d2009 215 $a301 p. $d21 cm 410 1$1001UON00067431$12001 $aFrontiere. Democrazia e alterità$fCollana diretta da Renzo Guolo, Enzo Pace$v29 606 $aORIENTALISMO$xRelazioni con l'Occidente$3UONC025083$2FI 620 $aIT$dMilano$3UONL000005 676 $a950$cSTORIA DELL'ASIA$v21 702 1$aBRUNO$bMarco$3UONV183610 702 1$aGRITTI$bRoberto$3UONV115060 702 1$aLAURANO$bPatrizia$3UONV196155 712 $aGuerini e Associati$3UONV249795$4650 801 $aIT$bSOL$c20240220$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00379483 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI VO Afr IV 428 $eSI AA 30098 5 428 996 $aOltre l'orientalismo e l'occidentalismo$91356750 997 $aUNIOR