01021nam0-22003611i-450 99000171988040332120250324104657.00-387-96464-9000171988FED01000171988(Aleph)000171988FED0120030910d1987----km-y0itay50------baengUSCurrent topics in vector researchedited by Kerry F. HarrisNew YorkSpringer-Verlag1987v.25 cm4: 1987. XIV, 213 p.EntomologiaInsetti595.7614.4323itaHarris,Kerry F.ITUNINARICAUNIMARCBK990001719880403321A CHI 1873-303/2230/25FAGBC60 614.43 HARK 19871245FAGBCA CHI 1873-403/2231/25FAGBCA CHI 1873-503/2232/25FAGBCFAGBCCURRENT topics in vector research360376UNINA05378nam 22006255 450 991052008270332120251202165620.03-030-76908-910.1007/978-3-030-76908-6(MiAaPQ)EBC6865923(Au-PeEL)EBL6865923(CKB)20937256800041(OCoLC)1293258208(DE-He213)978-3-030-76908-6(PPN)272261572(EXLCZ)992093725680004120220119d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierIntroduction to Computation Haskell, Logic and Automata /by Donald Sannella, Michael Fourman, Haoran Peng, Philip Wadler1st ed. 2021.Cham :Springer International Publishing :Imprint: Springer,2021.1 online resource (371 pages)Undergraduate Topics in Computer Science,2197-1781Print version: Sannella, Donald Introduction to Computation Cham : Springer International Publishing AG,c2022 9783030769079 1. Sets -- 2. Types -- 3. Simple Computations -- 4. Venn Diagrams and Logical Connectives -- 5. Lists and Comprehensions -- 6. Features and Predicates -- 7. Testing Your Programs -- 8. Patterns of Reasoning -- 9. More Patterns of Reasoning -- 10. Lists and Recursion -- 11. More Fun with Recursion -- 12. Higher-Order Functions -- 13. Higher and Higher -- 14. Sequent Calculus -- 15. Algebraic Data Types -- 16. Expression Trees -- 17. Karnaugh Maps -- 18. Relations and Quantifiers -- 19. Checking Satisfiability -- 20. Data Representation -- 21. Data Abstraction -- 22. Efficient CNF Conversion -- 23. Counting Satisfying Valuations -- 24. Type Classes -- 25. Search in Trees -- 26. Combinatorial Algorithms -- 27. Finite Automata -- 28. Deterministic Finite Automata -- 29. Non-Deterministic Finite Automata -- 30. Input/Output and Monads -- 31. Regular Expressions -- 32 Non-Regular Languages -- Index.Computation is a process of calculation involving arithmetic and logical steps, following a given set of rules (an algorithm). This uniquely accessible textbook introduces students to computation using a very distinctive approach, quite rapidly leading them into essential topics with sufficient depth, yet in a highly intuitive manner. The work is anchored in coverage of functional programming (in Haskell), symbolic logic, and finite automata-- each a critical component of the foundations of Informatics, and together offering students a clear glimpse into an intellectual journey beyond mere mastery of technical skills. From core elements like types, Venn diagrams and logic, to patterns of reasoning, sequent calculus, recursion and algebraic data types, the book spans the breadth of key concepts and methods that will enable students to readily progress with their studies in Computer Science. Topics and features: Spans the key concepts and methods that underpin computation Develops symbolic logic, with a view toward honing clarity of thought; and automata, as a foundation for future study of both their applications and related theoretical topics Introduces powerful functional programming ideas that will be useful regardless which programming languages are used later Provides numerous exercises to support a clear and open, accessible approach Offers a dedicated website with resources for instructors and students, including code and links to online information Includes a wide array of marginal notes, empowering readers to "go beyond" the content presented Approaches logic and automata through Haskell code, to bring key concepts alive and foster understanding through experimentation Assuming no formal background in programming, this highly practical and accessible textbook provides the grounding fundamentals of computation for undergraduate students. Its flexible, yet clearexpository style also makes the book eminently suitable as a self-study instructional guide for professionals or nonspecialists interested in these topics. Prof. Donald Sannella, Prof. Michael Fourman, and Prof. Philip Wadler are each at the University of Edinburgh's School of Informatics, Edinburgh, UK. Mr. Haoran Peng will soon pursue research interests in machine learning and machine intelligence at Cambridge University, Cambridge, UK.Undergraduate Topics in Computer Science,2197-1781Computer scienceComputer scienceMathematicsAlgorithmsTheory of ComputationMathematics of ComputingComputer Science Logic and Foundations of ProgrammingDesign and Analysis of AlgorithmsComputer science.Computer scienceMathematics.Algorithms.Theory of Computation.Mathematics of Computing.Computer Science Logic and Foundations of Programming.Design and Analysis of Algorithms.004.015113004.015113Sannella Donald1074671MiAaPQMiAaPQMiAaPQBOOK9910520082703321Introduction to computation2784777UNINA