An Introduction to Proof Theory下载

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An Introduction to Proof Theory
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An Introduction to Proof Theory

A first Course in An Introduction To Model Theory Proof Theory

An Introduction to Formal Language Theory that Integrates Experimentation and Proof

目录: 01. A first Course in Logic An Introduction To Model Theory Proof Theory Computability And Complexity - Shawn Hedman(djvu) 02. Advanced Complexity Theory Lctn - Madhu Sudan(pdf) 03. Algorithm and Complexity Lctn - Herbert S. Wilf(pdf) 04. Algorithms and Theory of Computation Handbook - Mikhail J. Atallah(djvu) 05. An Introduction to Formal Language Theory that Integrates Experimentation and Proof - Allen Stoughton(pdf) 06. An Introduction To Recursive Function Theory -Nigel Cutland(pdf) 07. An Introduction to the Theory of Computation - Eitan Gurari(pdf) 08. CLASSICAL RECURSION THEORY The Theory of Functions and Sets of Natural Numbers - Piergiorgio Odifreddi(djvu) 09. Complexity of Algorithms Lctn - Peter Gacs(pdf) 10. Computation Complexity Lctn - Laszlo Lovasz(pdf) 11. Computational Complexity - Christos Papadimitriou(djvu) 12. Computational Complexity A Conceptual Perspective - Oded Goldreich(pdf) 13. Computational Complexity A Modern Approach - Sanjeev Arora(pdf) 14. Computers And Intractability A Guide To The Theory Of Np-Completeness - Michael Garey(djvu) 15. Elementary Recursion Theory and its Applications to Formal Systems - Saul Kripke(pdf) 16. Elemnts Of The Theory Of Computation 2d ed - Harry Lewis(djvu) 17. Essentials of Theoretical Computer Science - F. D. Lewis(pdf) 18. Goldreich O. Introduction to Complexity Theory (lectures, 1999)(T)(375s)(djvu) 19. Goldreich O. Introduction to complexity theory, lecture notes (1999)(375s)(pdf) 20. Introduction To Automata Theory Languages , and Computation - John Hopcroft(djvu) 21. Introduction to Complexity Theory Lecture Notes - Oded Goldreich(pdf) 22. Introduction To The Theory Of Computation - Michael Sipser(djvu) 23. Kolmogorov Complexity and Computational Complexity - Osamu Watanabe(djvu) 24. Lecture Notes for Introduction to Theory of Computation - Robert Daley(pdf) 25. Lecture Notes On Algorithm Analysis And Computation Complexity 4th ed - Ian Parberry(pdf) 26. Lewis H.R., Papadimitriou C.H. Elements of the Theory of Computation (2ed., PH, 1998)(ISBN 0132624788)(K)(T)(375s)(djvu) 27. Models of Computation - An Introduction to Computability Theory (Undergrad Topics in CS), Springer (2009)(pdf) 28. Oxford University Press - A First Course in Logic - An Introduction to Model, Proof Theory, Computability, and Complexity - 2006(pdf) 29. Parallel Complexity Theory - Ian Parberry(pdf) 30. Recursion Theory for Metamathematics - RAYMOND M. SMULLYAN(djvu) 31. Rothe J. Complexity theory and cryptology.. an introduction to cryptocomplexity (TTCS, Springer, 2005)(ISBN 3540221476)(487s)(pdf) 32. Springer - Computational Probability - Algorithms and Applications in the Mathematical Sciences - 2008(pdf) 33. The Complexity of Boolean Functions - Ingo Wegener(pdf) 34. The Computational Complexity of Machine Learning - Michael J. Kearns(pdf) 35. Theory of Computation Lecture Notes - Abhijat Vichare(pdf)

by Maarten van Steen (Author) ============================= This book aims to explain the basics of graph theory that are needed at an introductory level for students in computer or information sciences. To motivate students and to show that even these basic notions can be extremely useful, the book also aims to provide an introduction to the modern field of network science. Mathematics is often unnecessarily difficult for students, at times even intimidating. For this reason, explicit attention is paid in the first chapters to mathematical notations and proof techniques, emphasizing that the notations form the biggest obstacle, not the mathematical concepts themselves. This approach allows to gradually prepare students for using tools that are necessary to put graph theory to work: complex networks. In the second part of the book the student learns about random networks, small worlds, the structure of the Internet and the Web, peer-to-peer systems, and social networks. Again, everything is discussed at an elementary level, but such that in the end students indeed have the feeling that they: 1.Have learned how to read and understand the basic mathematics related to graph theory.

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