LEADER 01602nam 2200505 450 001 9910465860803321 005 20200520144314.0 010 $a1-4962-0142-6 010 $a1-4962-0144-2 035 $a(CKB)3710000001368988 035 $a(MiAaPQ)EBC4865009 035 $a(OCoLC)988028775 035 $a(MdBmJHUP)muse56652 035 $a(Au-PeEL)EBL4865009 035 $a(CaPaEBR)ebr11389613 035 $a(CaONFJC)MIL1012378 035 $a(EXLCZ)993710000001368988 100 $a20170620h20172017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 04$aThe native south $enew histories and enduring legacies /$fedited by Tim Alan Garrison and Greg O'Brien 210 1$aLincoln, [Nebraska] ;$aLondon, [England] :$cUniversity of Nebraska Press,$d2017. 210 4$dİ2017 215 $a1 online resource (279 pages) 311 $a1-4962-1663-6 311 $a0-8032-9690-8 320 $aIncludes bibliographical references at the end of each chapters and index. 606 $aIndians of North America$zSouthern States 606 $aIndians of North America$zSouthern States$xHistory 608 $aElectronic books. 615 0$aIndians of North America 615 0$aIndians of North America$xHistory. 676 $a975.004/97 702 $aGarrison$b Tim Alan$f1961- 702 $aO'Brien$b Greg$f1966- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910465860803321 996 $aThe native south$92257701 997 $aUNINA LEADER 04143nam 22006495 450 001 9910792478603321 005 20200706062055.0 010 $a1-4757-3124-8 024 7 $a10.1007/978-1-4757-3124-8 035 $a(CKB)2660000000022230 035 $a(SSID)ssj0001297489 035 $a(PQKBManifestationID)11775306 035 $a(PQKBTitleCode)TC0001297489 035 $a(PQKBWorkID)11367557 035 $a(PQKB)10449291 035 $a(DE-He213)978-1-4757-3124-8 035 $a(MiAaPQ)EBC3087178 035 $a(PPN)238044076 035 $a(EXLCZ)992660000000022230 100 $a20130107d1999 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMarkov Chains$b[electronic resource] $eGibbs Fields, Monte Carlo Simulation, and Queues /$fby Pierre Bremaud 205 $a1st ed. 1999. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d1999. 215 $a1 online resource (XVIII, 445 p. 3 illus.) 225 1 $aTexts in Applied Mathematics,$x0939-2475 ;$v31 300 $a"With 64 Illustrations." 311 $a0-387-98509-3 311 $a1-4419-3131-7 320 $aIncludes bibliographical references and indexes. 327 $a1 Probability Review -- 2 Discrete-Time Markov Models -- 3 Recurrence and Ergodicity -- 4 Long Run Behavior -- 5 Lyapunov Functions and Martingales -- 6 Eigenvalues and Nonhomogeneous Markov Chains -- 7 Gibbs Fields and Monte Carlo Simulation -- 8 Continuous-Time Markov Models -- 9 Poisson Calculus and Queues -- 1 Number Theory and Calculus -- 1.1 Greatest Common Divisor -- 1.2 Abel?s Theorem -- 1.3 Lebesgue?s Theorems for Series -- 1.4 Infinite Products -- 1.5 Tychonov?s Theorem -- 1.6 Subadditive Functions -- 2 Linear Algebra -- 2.1 Eigenvalues and Eigenvectors -- 2.2 Exponential of a Matrix -- 2.3 Gershgorin?s Bound -- 3 Probability -- 3.1 Expectation Revisited -- 3.2 Lebesgue?s Theorems for Expectation -- Author Index. 330 $aIn this book, the author begins with the elementary theory of Markov chains and very progressively brings the reader to the more advanced topics. He gives a useful review of probability that makes the book self-contained, and provides an appendix with detailed proofs of all the prerequisites from calculus, algebra, and number theory. A number of carefully chosen problems of varying difficulty are proposed at the close of each chapter, and the mathematics are slowly and carefully developed, in order to make self-study easier. The author treats the classic topics of Markov chain theory, both in discrete time and continuous time, as well as the connected topics such as finite Gibbs fields, nonhomogeneous Markov chains, discrete- time regenerative processes, Monte Carlo simulation, simulated annealing, and queuing theory. The result is an up-to-date textbook on stochastic processes. 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