000 | 03731nam a22004815i 4500 | ||
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001 | 978-3-319-22750-4 | ||
003 | DE-He213 | ||
005 | 20200420220220.0 | ||
007 | cr nn 008mamaa | ||
008 | 151116s2015 gw | s |||| 0|eng d | ||
020 |
_a9783319227504 _9978-3-319-22750-4 |
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024 | 7 |
_a10.1007/978-3-319-22750-4 _2doi |
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050 | 4 | _aQA8.9-QA10.3 | |
072 | 7 |
_aUYA _2bicssc |
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072 | 7 |
_aMAT018000 _2bisacsh |
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072 | 7 |
_aCOM051010 _2bisacsh |
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082 | 0 | 4 |
_a005.131 _223 |
100 | 1 |
_aDoberkat, Ernst-Erich. _eauthor. |
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245 | 1 | 0 |
_aSpecial Topics in Mathematics for Computer Scientists _h[electronic resource] : _bSets, Categories, Topologies and Measures / _cby Ernst-Erich Doberkat. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015. |
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300 |
_aXX, 719 p. 124 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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505 | 0 | _aPreface -- 1 The Axiom of Choice and Some of Its Equivalents -- 2 Categories -- 3 Topological Spaces -- 4 Measures for Probabilistic Systems -- List of Examples -- References -- Index. | |
520 | _aThis textbook addresses the mathematical description of sets, categories, topologies and measures, as part of the basis for advanced areas in theoretical computer science like semantics, programming languages, probabilistic process algebras, modal and dynamic logics and Markov transition systems. Using motivations, rigorous definitions, proofs and various examples, the author systematically introduces the Axiom of Choice, explains Banach-Mazur games and the Axiom of Determinacy, discusses the basic constructions of sets and the interplay of coalgebras and Kripke models for modal logics with an emphasis on Kleisli categories, monads and probabilistic systems. The text further shows various ways of defining topologies, building on selected topics like uniform spaces, G�odel's Completeness Theorem and topological systems. Finally, measurability, general integration, Borel sets and measures on Polish spaces, as well as the coalgebraic side of Markov transition kernels along with applications to probabilistic interpretations of modal logics are presented. Special emphasis is given to the integration of (co-)algebraic and measure-theoretic structures, a fairly new and exciting field, which is demonstrated through the interpretation of game logics. Readers familiar with basic mathematical structures like groups, Boolean algebras and elementary calculus including mathematical induction will discover a wealth of useful research tools. Throughout the book, exercises offer additional information, and case studies give examples of how the techniques can be applied in diverse areas of theoretical computer science and logics. References to the relevant mathematical literature enable the reader to find the original works and classical treatises, while the bibliographic notes at the end of each chapter provide further insights and discussions of alternative approaches. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aMathematical logic. | |
650 | 0 | _aCategory theory (Mathematics). | |
650 | 0 | _aHomological algebra. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aMathematical Logic and Formal Languages. |
650 | 2 | 4 | _aMathematical Logic and Foundations. |
650 | 2 | 4 | _aCategory Theory, Homological Algebra. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319227498 |
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-22750-4 |
912 | _aZDB-2-SCS | ||
942 | _cEBK | ||
999 |
_c51858 _d51858 |