LEADER 02288nam 2200361 450 001 996214858003316 005 20231108232944.0 010 $a0-674-99246-6 035 $a(CKB)3820000000012063 035 $a(NjHacI)993820000000012063 035 $a(EXLCZ)993820000000012063 100 $a20231108d1929 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGeography$hVolume VI, /$fStrabo 210 1$aCambridge :$cHarvard University Press,$d1929. 215 $a1 online resource (406 pages) 330 $aAnnotation Strabo (ca. 64 BCE to ca. 25 CE), an Asiatic Greek of Amasia in Pontus, studied at Nysa and after 44 BCE at Rome. He became a keen traveller who saw a large part of Italy, various near eastern regions including the Black Sea, various parts of Asia Minor, Egypt as far as Ethiopia, and parts of Greece. He was a long time in Alexandria where he no doubt studied mathematics, astronomy, and history. Strabo's historical work is lost, but his most important Geography in seventeen books has survived. After two introductory books, numbers 3 and 4 deal with Spain and Gaul, 5 and 6 with Italy and Sicily, 7 with north and east Europe, 8A?-10 with Greek lands, 11A?-14 with the main regions of Asia and with Asia Minor, 15 with India and Iran, 16 with Assyria, Babylonia, Syria, and Arabia, 17 with Egypt and Africa. In outline he follows the great mathematical geographer Eratosthenes, but adds general descriptions of separate countries including physical, political, and historical details. A sequel to his historical memoirs, Geography is planned apparently for public servants rather than studentsA?--hence the accounts of physical features and of natural products. On the mathematical side it is an invaluable source of information about Eratosthenes, Hipparchus, and Posidonius. The Loeb Classical Library edition of Strabo is in eight volumes. 606 $aGeography 606 $aGeography$vBibliography 615 0$aGeography. 615 0$aGeography 676 $a910 700 $aStrabo$0169725 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a996214858003316 996 $aGeography$91044073 997 $aUNISA LEADER 01016nam0 22002771i 450 001 UON00218800 005 20231205103405.654 010 $a84-7888-277-4 100 $a20030730d1999 |0itac50 ba 101 $aspa 102 $aES 105 $a|||| ||||| 200 1 $aˆLa ‰mujer habitada$fGioconda Belli 210 $aBarcelona$cEmecé$d1999 215 $a458 p.$d19 cm 410 1$1001UON00174495$12001 $aLetras de Bolsillo$1210 $aBarcelona$cEmecé 620 $aES$dBarcelona$3UONL003004 676 $aNi863$cLetteratura nicaraguese. Narrativa.$v21 700 1$aBELLI$bGioconda$3UONV126998$0545250 712 $aEmece Editores$3UONV267010$4650 801 $aIT$bSOL$c20240220$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00218800 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI Isp.A Ni 860 a 0009 bis $eSI LO 65715 7 0009 bis $sBuono 996 $aMujer habitada$9889269 997 $aUNIOR LEADER 03923nam 22007095 450 001 9910483831603321 005 20250505001825.0 010 $a981-13-2971-0 024 7 $a10.1007/978-981-13-2971-5 035 $a(CKB)4100000010480199 035 $a(DE-He213)978-981-13-2971-5 035 $a(MiAaPQ)EBC6122025 035 $a(PPN)24297760X 035 $a(EXLCZ)994100000010480199 100 $a20200224d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMonte Carlo Methods /$fby Adrian Barbu, Song-Chun Zhu 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (XVI, 422 p. 250 illus., 185 illus. in color.) 311 08$a981-13-2970-2 320 $aIncludes bibliographical references and index. 327 $a1 Introduction to Monte Carlo Methods -- 2 Sequential Monte Carlo -- 3 Markov Chain Monte Carlo - the Basics -- 4 Metropolis Methods and Variants -- 5 Gibbs Sampler and its Variants -- 6 Cluster Sampling Methods -- 7 Convergence Analysis of MCMC -- 8 Data Driven Markov Chain Monte Carlo -- 9 Hamiltonian and Langevin Monte Carlo -- 10 Learning with Stochastic Gradient -- 11 Mapping the Energy Landscape. 330 $aThis book seeks to bridge the gap between statistics and computer science. It provides an overview of Monte Carlo methods, including Sequential Monte Carlo, Markov Chain Monte Carlo, Metropolis-Hastings, Gibbs Sampler, Cluster Sampling, Data Driven MCMC, Stochastic Gradient descent, Langevin Monte Carlo, Hamiltonian Monte Carlo, and energy landscape mapping. Due to its comprehensive nature, the book is suitable for developing and teaching graduate courses on Monte Carlo methods. To facilitate learning, each chapter includes several representative application examples from various fields. The book pursues two main goals: (1) It introduces researchers to applying Monte Carlo methods to broader problems in areas such as Computer Vision, Computer Graphics, Machine Learning, Robotics, Artificial Intelligence, etc.; and (2) it makes it easier for scientists and engineers working in these areas to employ Monte Carlo methods to enhance their research. 606 $aMathematics$xData processing 606 $aComputer science$xMathematics 606 $aMathematical statistics 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aStatistics 606 $aStatistics 606 $aComputational Mathematics and Numerical Analysis 606 $aProbability and Statistics in Computer Science 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aStatistical Theory and Methods 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 615 0$aMathematics$xData processing. 615 0$aComputer science$xMathematics. 615 0$aMathematical statistics. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aStatistics. 615 0$aStatistics. 615 14$aComputational Mathematics and Numerical Analysis. 615 24$aProbability and Statistics in Computer Science. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aStatistical Theory and Methods. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 676 $a519.282 700 $aBarbu$b Adrian$4aut$4http://id.loc.gov/vocabulary/relators/aut$01002774 702 $aZhu$b Song-Chun$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483831603321 996 $aMonte Carlo Methods$92301695 997 $aUNINA