LEADER 01379nam 2200409 450 001 9910548185403321 005 20221002143938.0 010 $a9783030908041$b(electronic bk.) 010 $z9783030908034 035 $a(MiAaPQ)EBC6893533 035 $a(Au-PeEL)EBL6893533 035 $a(CKB)21282053700041 035 $a(PPN)260831719 035 $a(EXLCZ)9921282053700041 100 $a20221002d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEconomics of renewable energy $ean assessment of innovations with statistical data /$fYoram Krozer 210 1$aCham, Switzerland :$cSpringer International Publishing,$d[2022] 210 4$dİ2022 215 $a1 online resource (233 pages) 311 08$aPrint version: Krozer, Yoram Economics of Renewable Energy Cham : Springer International Publishing AG,c2022 9783030908034 606 $aRenewable energy sources 606 $aRenewable energy sources$xData processing 615 0$aRenewable energy sources. 615 0$aRenewable energy sources$xData processing. 676 $a333.794 700 $aKrozer$b Yoram$0906128 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910548185403321 996 $aEconomics of Renewable Energy$92787497 997 $aUNINA LEADER 04799nam 2200637 a 450 001 9910780054003321 005 20211002000611.0 010 $a1-282-15923-2 010 $a9786612159237 010 $a1-4008-2509-1 010 $a1-4008-1458-8 024 7 $a10.1515/9781400825097 035 $a(CKB)111056486505724 035 $a(EBL)457739 035 $a(OCoLC)609845343 035 $a(SSID)ssj0000123090 035 $a(PQKBManifestationID)11136012 035 $a(PQKBTitleCode)TC0000123090 035 $a(PQKBWorkID)10132340 035 $a(PQKB)10252470 035 $a(DE-B1597)446455 035 $a(OCoLC)979741914 035 $a(DE-B1597)9781400825097 035 $a(Au-PeEL)EBL457739 035 $a(CaPaEBR)ebr10312511 035 $a(CaONFJC)MIL215923 035 $a(MiAaPQ)EBC457739 035 $a(EXLCZ)99111056486505724 100 $a20020211d2002 uy 0 101 0 $aeng 135 $aurnn#---|u||u 181 $ctxt 182 $cc 183 $acr 200 10$aClassical theory of gauge fields$b[electronic resource] /$fValery Rubakov ; translated by Stephen S. Wilson 205 $aCourse Book 210 $aPrinceton, N.J. $cPrinceton University Press$dc2002 215 $a1 online resource (457 p.) 300 $aDescription based upon print version of record. 311 0 $a0-691-05927-6 320 $aIncludes bibliographical references (p. 429-439) and index. 327 $tFront matter --$tContents --$tPreface --$tPart I --$tChapter 1. Gauge Principle In Electrodynamics --$tChapter 2. Scalar And Vector Fields --$tChapter 3. Elements of the Theory of Lie Groups and Algebras --$tChapter 4. Non-Abelian Gauge Fields --$tChapter 5. Spontaneous Breaking of Global Symmetry --$tChapter 6. Higgs Mechanism --$tSupplementary Problems for Part I --$tPart II --$tChapter 7. The Simplest Topological Solitons --$tChapter 8. Elements of Homotopy Theory --$tChapter 9. Magnetic Monopoles --$tChapter 10. Non-Topological Solitons --$tChapter 11. Tunneling and Euclidean Classical Solutions in Quantum Mechanics --$tChapter 12. Decay of a False Vacuum in Scalar Field Theory --$tChapter 13. Instantons and Sphalerons in Gauge Theories --$tSupplementary Problems for Part II --$tPart III --$tChapter 14. Fermions in Background Fields --$tChapter 15. Fermions and Topological External Fields in Two-dimensional Models --$tChapter 16. Fermions in Background Fields of Solitons and Strings in Four-Dimensional Space-Time --$tChapter 17. Non-Conservation of Fermion Quantum Numbers in Four-dimensional Non-Abelian Theories --$tSupplementary Problems for Part III --$tAppendix Classical Solutions and the Functional Integral --$tBibliography --$tIndex 330 $aBased on a highly regarded lecture course at Moscow State University, this is a clear and systematic introduction to gauge field theory. It is unique in providing the means to master gauge field theory prior to the advanced study of quantum mechanics. Though gauge field theory is typically included in courses on quantum field theory, many of its ideas and results can be understood at the classical or semi-classical level. Accordingly, this book is organized so that its early chapters require no special knowledge of quantum mechanics. Aspects of gauge field theory relying on quantum mechanics are introduced only later and in a graduated fashion--making the text ideal for students studying gauge field theory and quantum mechanics simultaneously. The book begins with the basic concepts on which gauge field theory is built. It introduces gauge-invariant Lagrangians and describes the spectra of linear perturbations, including perturbations above nontrivial ground states. The second part focuses on the construction and interpretation of classical solutions that exist entirely due to the nonlinearity of field equations: solitons, bounces, instantons, and sphalerons. The third section considers some of the interesting effects that appear due to interactions of fermions with topological scalar and gauge fields. Mathematical digressions and numerous problems are included throughout. An appendix sketches the role of instantons as saddle points of Euclidean functional integral and related topics. Perfectly suited as an advanced undergraduate or beginning graduate text, this book is an excellent starting point for anyone seeking to understand gauge fields. 606 $aGauge fields (Physics) 615 0$aGauge fields (Physics) 676 $a530.14/35 686 $aUO 4060$2rvk 700 $aRubakov$b V. A$0532660 701 $aWilson$b Stephen S$0154107 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910780054003321 996 $aClassical theory of gauge fields$93674499 997 $aUNINA LEADER 05195oam 2200565 450 001 9910807277403321 005 20190911112729.0 010 $a981-4458-84-8 035 $a(OCoLC)869343252 035 $a(MiFhGG)GVRL8RCZ 035 $a(EXLCZ)992550000001191455 100 $a20130930h20142014 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aComputational models of cognitive processes $eproceedings of the 13th Neural Computation and Psychology Workshop, San Sebastian, Spain, 12-14 July 2012 /$feditors, Julien Mayor, University of Geneva, Switzerland, Pablo Gomez, De Paul University, USA 210 1$aNew Jersey :$cWorld Scientific,$d[2014] 210 4$d?2014 215 $a1 online resource (ix, 276 pages) $cillustrations (some color) 225 1 $aProgress in neural processing ;$vvolume 21 300 $aDescription based upon print version of record. 311 $a981-4458-83-X 311 $a1-306-39627-1 320 $aIncludes bibliographical references and index. 327 $aPreface; Contents; Language; Modelling Language - Vision Interactions in the Hub and Spoke Framework; 1. Introduction; 2. Virtues of the Hub & Spoke Framework; 3. A Hub & Spoke Model of Language Mediated Visual Attention; 3.1. Language Mediated Visual Attention & The Visual World Paradigm; 3.2. Method; 3.2.1. Network; 3.2.2. Artificial Corpus; 3.2.3. Training; 3.2.4. Pre-Test; 3.3. Results; 3.3.1. Simulation of Phonological Effects; 3.3.2. Simulation of Visual Effects; 3.3.3. Simulation of Semantic Effects; 4. Discussion; References 327 $aModelling Letter Perception: The Effect of Supervision and Top-Down Information on Simulated Reaction Times1. Introduction; 2. Method; 2.1. Simulations; 2.2. Neural Network Algorithms; 2.2.1. Restricted Boltzmann Machines; 2.2.2. Training a Deep-Belief Network; 2.2.3. Delta-Rule and Back-Propagation; 2.2.4. Simulating Reaction Times; 2.3. Human Reaction Time Data; 3. Results; 4. Conclusions; References; Encoding Words into a Potts Attractor Network; 1. Introduction; 2. BLISS: The Training Language; 3. Potts Attractor Network: a Simplified Model of the Cortex 327 $a4. Implementation of Word Representation in the Potts Network4.1. Semantic Representation; 4.2. Syntactic Representation; 5. Discussion; References; Unexpected Predictability in the Hawaiian Passive; 1. Introduction; 2. Data; 3. Methods; 3.1. Pre-processing; 3.2. The model; 3.3. Error measures; 3.3.1. Mean Squared Error; 3.3.2. Classification Error; 3.4. Baseline estimates; 3.4.1. Random guess: adaptation to the range of target values; 3.4.2. Weighted guess: adaptation to the distribution of target values; 4. Results; 5. Conclusion; Acknowledgements; References 327 $aDifference Between Spoken and Written Language Based on Zipf 's Law Analysis1. Introduction; 2. Methods; 3. Results; 3.1. Log- log frequency vs. rank plots; 3.2. Five most frequent words in 1-, 2-, and 3-grams; 3.3. Exponent of rank; 4. Discussion; Acknowledgments; References; Reading Aloud is Quicker than Reading Silently: A Study in the Japanese Language Demonstrating the Enhancement of Cognitive Processing by Action; 1. Introduction; 2. Material and Methods; 3. Results; 4. Discussion; References; Development; Testing a Dynamic Neural Field Model of Children's Category Labelling 327 $a1. Introduction2. Simulation; 2.1. Dynamic Neural Fields; 2.2. Categorisation by Shared Features; 2.3. Method; 2.3.1. Architecture; 2.3.2. Stimuli; 2.3.3. Design and Procedure; 2.3.4. Results and Discussion; 3. Experiment; 3.1. Method; 3.1.1. Participants; 3.1.2. Stimuli; 3.1.3. Procedure and Design; 3.2. Results and Discussion; 4. General Discussion; References; Theoretical and Computational Limitations in Simulating 3- to4-Month-Old Infants' Categorization Processes; 1. Introduction; 2. Simulation 1. Reproduction of the asymmetric categorization effect; 2.1. Stimuli 327 $a2.2. Neural network procedure 330 $aComputational Models of Cognitive Processes collects refereed versions of papers presented at the 13th Neural Computation and Psychology Workshop (NCPW13) that took place July 2012, in San Sebastian (Spain). This workshop series is a well-established and unique forum that brings together researchers from such diverse disciplines as artificial intelligence, cognitive science, computer science, neurobiology, philosophy and psychology to discuss their latest work on models of cognitive processes. 410 0$aProgress in neural processing ;$vvol. 21. 606 $aNeural networks (Neurobiology)$vCongresses 606 $aCognition$vCongresses 606 $aNeural stimulation$vCongresses 615 0$aNeural networks (Neurobiology) 615 0$aCognition 615 0$aNeural stimulation 676 $a612.8/233 702 $aMayor$b Julien 702 $aGomez$b Pablo$g(Pablo Alegria), 712 12$aNeural Computation and Psychology Workshop 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910807277403321 996 $aComputational models of cognitive processes$93932897 997 $aUNINA