LEADER 05074nam 2200637 450 001 996466807803316 005 20211012125429.0 010 $a3-662-14148-5 024 7 $a10.1007/978-3-662-14148-9 035 $a(CKB)2560000000154821 035 $a(SSID)ssj0000323300 035 $a(PQKBManifestationID)12124914 035 $a(PQKBTitleCode)TC0000323300 035 $a(PQKBWorkID)10299752 035 $a(PQKB)11483788 035 $a(DE-He213)978-3-662-14148-9 035 $a(MiAaPQ)EBC5584762 035 $a(MiAaPQ)EBC6525841 035 $a(Au-PeEL)EBL5584762 035 $a(OCoLC)1066180309 035 $a(Au-PeEL)EBL6525841 035 $a(OCoLC)1245667589 035 $a(PPN)237998025 035 $a(EXLCZ)992560000000154821 100 $a20211012d1997 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aFourth Granada lectures in computational physics $eproceedings of the 4th Granada Seminar on Computational Physics held at Granada, Spain, 9-14 September 1996 /$fedited by Pedro L. Garrido, Joacqui?n Marro 205 $a1st ed. 1997. 210 1$aBerlin, Germany ;$aNew York, New York :$cSpringer,$d[1997] 210 4$dİ1997 215 $a1 online resource (XIV, 322 p. 66 illus.) 225 1 $aLecture Notes in Physics,$x0075-8450 ;$v493 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-63086-4 311 $a3-662-14150-7 320 $aIncludes bibliographical references and index. 327 $aA variational approach to exciton-phonon coupling -- The power of cooperation -- Microscopic computer simulation of fluids -- Nonequilibrium potential in reaction-diffusion systems -- An introduction to the mathematical theory of neural networks -- The statistical mechanics of absorbing states -- On the self-organization of migrating individuals -- Recent progress in the study of irreversible transitions in reaction systems -- Critical behavior of an evolution model -- Simulation of phase behavior of fluids in gels -- Mesoscopic descriptions of fluids -- Description of growth models with density equations -- Langevin approach to synthetic turbulence and applications -- Irreversible adsorption of colloidal particles -- Probability distribution function for the random sequential adsorption of aligned and unaligned hard-squares -- Resonance phenomena induced by correlated parametric noise -- Magnetic relaxation via competing dynamics -- Atomic dynamics in liquid alkali metals. A theoretical study -- Electronic structure of delta-doped quantum well as a function of temperature -- Neural networks with fluctuating synapses -- Local field distribution in attractor neural networks: Effect of the stimulus -- A field theoretical study of a lattice gas in two planes -- A regularization of the nonstationary two-body problem under the Maneff perturbing potential -- Pattern formation in catalytic processes: Phase-field model. 330 $aThe methods developed to deal with the computational aspects of physi­ cal problems are useful in an increasing number of situations, from chem­ istry, biology and geology to engineering, communications and economics. In fact, computational physics has evolved into a trans-disciplinary field now concerned with the creative use of computers in scientific research. More­ over, computational methods often help students to develop a deeper under­ standing of key concepts, and enhance their problem-solving abilities. There­ fore, computational physics is recognized as having an important educational value, and educators face the task of outlining appropriate curricula to take advantage of these unique features. This is an important motivation for the publication of the contents of the Seminar on Computational Physics which is held in Granada every two years. The seminar aims at bringing together small groups of students and active researchers on different aspects of computational physics. It is part of the doctoral programme of the University of Granada. The proceedings of the previous editions were published as II Granada Lectures in Computational Physics (World Scientific, Singapore 1993) and Third Granada Lectures in Computational Physics (Lecture Notes in Physics, vol. 448, Springer, Berlin 1995) by the same editors. The present book contains the invited lecture notes and a very brief account of contributions by participants at the 4th Granada Seminar on Computational Physics (Granada, Spain, 9-14 September 1996). 410 0$aLecture Notes in Physics,$x0075-8450 ;$v493 606 $aPhysics$xData processing$vCongresses 615 0$aPhysics$xData processing 676 $a530.0113 702 $aMarro$b Joaqui?n$f1945- 702 $aGarrido$b Pedro L. 712 12$aGranada Seminar on Computational Physics 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466807803316 996 $aFourth Granada lectures in computational physics$91897178 997 $aUNISA LEADER 03807nam 22007575 450 001 996213650903316 005 20200702222202.0 010 $a3-319-11662-2 024 7 $a10.1007/978-3-319-11662-4 035 $a(CKB)3710000000269663 035 $a(SSID)ssj0001372527 035 $a(PQKBManifestationID)11734861 035 $a(PQKBTitleCode)TC0001372527 035 $a(PQKBWorkID)11303757 035 $a(PQKB)11570217 035 $a(DE-He213)978-3-319-11662-4 035 $a(MiAaPQ)EBC6300811 035 $a(MiAaPQ)EBC5586907 035 $a(Au-PeEL)EBL5586907 035 $a(OCoLC)893104712 035 $a(PPN)182097579 035 $a(EXLCZ)993710000000269663 100 $a20141001d2014 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAlgorithmic Learning Theory$b[electronic resource] $e25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014, Proceedings /$fedited by Peter Auer, Alexander Clark, Thomas Zeugmann, Sandra Zilles 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (XVIII, 351 p. 22 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v8776 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-11661-4 327 $aInductive Inference -- Exact Learning from Queries -- Reinforcement Learning -- Online Learning and Learning with Bandit Information -- Statistical Learning Theory -- Privacy, Clustering, MDL, and Kolmogorov Complexity. 330 $aThis book constitutes the proceedings of the 25th International Conference on Algorithmic Learning Theory, ALT 2014, held in Bled, Slovenia, in October 2014, and co-located with the 17th International Conference on Discovery Science, DS 2014. The 21 papers presented in this volume were carefully reviewed and selected from 50 submissions. In addition the book contains 4 full papers summarizing the invited talks. The papers are organized in topical sections named: inductive inference; exact learning from queries; reinforcement learning; online learning and learning with bandit information; statistical learning theory; privacy, clustering, MDL, and Kolmogorov complexity. 410 0$aLecture Notes in Artificial Intelligence ;$v8776 606 $aArtificial intelligence 606 $aComputers 606 $aData mining 606 $aPattern recognition 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 615 0$aArtificial intelligence. 615 0$aComputers. 615 0$aData mining. 615 0$aPattern recognition. 615 14$aArtificial Intelligence. 615 24$aTheory of Computation. 615 24$aData Mining and Knowledge Discovery. 615 24$aPattern Recognition. 676 $a005.1 702 $aAuer$b Peter$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aClark$b Alexander$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZeugmann$b Thomas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZilles$b Sandra$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996213650903316 996 $aAlgorithmic Learning Theory$9771965 997 $aUNISA