LEADER 01308nam--2200421---450- 001 990003622070203316 005 20120213112735.0 010 $a88-500-0490-4 035 $a000362207 035 $aUSA01000362207 035 $a(ALEPH)000362207USA01 035 $a000362207 100 $a20120213d2011----km-y0itay50------ba 101 $aita 102 $aIT 105 $a||||||||001yy 200 1 $aOttocento romano$eNeoclassicismo, Realismo, Decadentismo, Divisionismo$fRenato Mammucari$gintroduzione Claudio Strinati$gpresentazione Laura Gigli$giconografia Giancarlo Belardi, Maurizio Berri 210 $aCittą di Castello$cEdimond$d2011 215 $a461 p.$d27 cm 225 2 $aImago 410 0$12001$aImago 454 1$12001 606 0 $aRoma nella pittura$zSec. 19. 676 $a758.745632 700 1$aMAMMUCARI,$bRenato$038173 702 1$aSTRINATI,$bClaudio 702 1$aGIGLI,$bLaura 702 1$aBELARDI,$bGiancarlo 702 1$aBERRI,$bMaurizio 801 0$aIT$bsalbc$gISBD 912 $a990003622070203316 951 $aXII.2.C. 2117$b233771 L.M.$cXII.2.C.$d00269673 959 $aBK 969 $aUMA 979 $aALESSANDRA$b90$c20120213$lUSA01$h1119 979 $aALESSANDRA$b90$c20120213$lUSA01$h1127 996 $aOttocento romano$9757090 997 $aUNISA LEADER 02391nam 2200565Ia 450 001 9910456000903321 005 20200520144314.0 010 $a1-280-47009-7 010 $a0-19-535386-2 010 $a0-585-21326-7 035 $a(CKB)111000211156182 035 $a(EBL)272925 035 $a(OCoLC)476013323 035 $a(SSID)ssj0000155464 035 $a(PQKBManifestationID)11162020 035 $a(PQKBTitleCode)TC0000155464 035 $a(PQKBWorkID)10113263 035 $a(PQKB)10963997 035 $a(MiAaPQ)EBC272925 035 $a(Au-PeEL)EBL272925 035 $a(CaPaEBR)ebr10279436 035 $a(CaONFJC)MIL47009 035 $a(OCoLC)466428571 035 $a(EXLCZ)99111000211156182 100 $a19970226d1998 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe first commentary on Mark$b[electronic resource] $ean annotated translation /$ftranslated and edited by Michael Cahill 210 $aNew York $cOxford University Press$dc1998 215 $a1 online resource (169 p.) 300 $aDescription based upon print version of record. 311 $a0-19-511601-1 320 $aIncludes bibliographical references (p. 139-145) and indexes. 327 $aContents; Abbreviations; Introduction; PROLOGUE; CHAPTER 1; CHAPTER 2; CHAPTER 3; CHAPTER 4; CHAPTER 5; CHAPTER 6; CHAPTER 7; CHAPTER 8; CHAPTER 9; CHAPTER 10; CHAPTER 11; CHAPTER 12; CHAPTER 13; CHAPTER 14; CHAPTER 15; CHAPTER 16; EPILOGUE; Appendix: An Interpolated Homily; Bibliography; Index of Biblical Texts; Select Index to Annotations; A; B; C; E; F; G; H; I; J; L; M; O; P; R; S; T; V 330 $aProbably written in Ireland in the first half of the seventh century, the commentary on Mark's Gospel was for almost 1000 years attributed to St Jerome and exercised incalculable influence on subsequent commentary, including Aquinas' ""Catena Aurea"". This is the English translation of the commentary on Mark's Gospel. 606 $aChristian literature, Early 608 $aElectronic books. 615 0$aChristian literature, Early. 676 $a226.307 701 $aCahill$b Michael$f1940-$0895414 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910456000903321 996 $aThe first commentary on Mark$92000355 997 $aUNINA LEADER 03829nam 22005415 450 001 9911035043003321 005 20251026120355.0 010 $a9783032011909$b(electronic bk.) 010 $z9783032011893 024 7 $a10.1007/978-3-032-01190-9 035 $a(MiAaPQ)EBC32376143 035 $a(Au-PeEL)EBL32376143 035 $a(CKB)41737812500041 035 $a(DE-He213)978-3-032-01190-9 035 $a(OCoLC)1551399922 035 $a(EXLCZ)9941737812500041 100 $a20251026d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLectures on Monte Carlo Theory /$fby Pawe? Lorek, Tomasz Rolski 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (1058 pages) 225 1 $aProbability Theory and Stochastic Modelling,$x2199-3149 ;$v108 311 08$aPrint version: Lorek, Pawe? Lectures on Monte Carlo Theory Cham : Springer,c2025 9783032011893 327 $aChapter 1. Introduction -- Chapter 2. The theory of generators -- Chapter 3. Generating random variables -- Chapter 4. Simulation Output Analysis: Independent Replications -- Chapter 5. Variance Reduction Techniques -- Chapter 6. Markov chain Monte Carlo methods -- Chapter 7. Stochastic optimization -- Chapter 8. Simulation of queues and related models. 330 $aThis book presents a broad range of computational techniques based on repeated random sampling, widely known as Monte Carlo methods and sometimes as stochastic simulation. These methods bring together ideas from probability theory, statistics, computer science, and statistical physics, providing tools for solving problems in fields such as operations research, biotechnology, and finance. Topics include the generation and analysis of pseudorandom numbers (which are intended to imitate truly random numbers on a computer), the design and justification of Monte Carlo algorithms, and advanced approaches such as Markov chain Monte Carlo and stochastic optimization. In contrast to deterministic numerical methods, the outcome of a Monte Carlo algorithm is itself random ? and one needs the tools of probability and statistics to interpret these results meaningfully. The theoretical foundations, particularly the law of large numbers and central limit theorem, are combined with practical algorithms that reveal both the strengths and subtleties of stochastic simulation. The book includes numerous exercises, both theoretical and computational. Each chapter features step-by-step algorithms, illustrated examples, and results presented through numerical computations, tables, and a variety of plots and figures. All Python code used to produce these results is publicly available, allowing readers to reproduce and explore simulations on their own. Intended primarily for graduate students and researchers, the exposition focuses on core concepts and intuitive understanding, avoiding excessive formalism. The book is suitable both for self-study and as a course text and offers a clear pathway from foundational principles to modern applications. 410 0$aProbability Theory and Stochastic Modelling,$x2199-3149 ;$v108 606 $aProbabilities 606 $aStochastic models 606 $aProbability Theory 606 $aStochastic Modelling 615 0$aProbabilities. 615 0$aStochastic models. 615 14$aProbability Theory. 615 24$aStochastic Modelling. 676 $a519.2 700 $aLorek$b Pawe?$01854143 701 $aRolski$b Tomasz$0103667 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911035043003321 996 $aLectures on Monte Carlo Theory$94451221 997 $aUNINA