The Nature Of Computation Logic Algorithms Applications


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The Nature of Computation: Logic, Algorithms, Applications


The Nature of Computation: Logic, Algorithms, Applications

Author: Paola Bonizzoni

language: en

Publisher: Springer

Release Date: 2013-06-03


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This book constitutes the refereed proceedings of the 9th Conference on Computability in Europe, CiE 2013, held in Milan, Italy, in July 2013. The 48 revised papers presented together with 1 invited lecture and 2 tutorials were carefully reviewed and selected with an acceptance rate of under 31,7%. Both the conference series and the association promote the development of computability-related science, ranging over mathematics, computer science and applications in various natural and engineering sciences such as physics and biology, and also including the promotion of related non-scientific fields such as philosophy and history of computing.

Proofs and Algorithms


Proofs and Algorithms

Author: Gilles Dowek

language: en

Publisher: Springer Science & Business Media

Release Date: 2011-01-11


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Logic is a branch of philosophy, mathematics and computer science. It studies the required methods to determine whether a statement is true, such as reasoning and computation. Proofs and Algorithms: Introduction to Logic and Computability is an introduction to the fundamental concepts of contemporary logic - those of a proof, a computable function, a model and a set. It presents a series of results, both positive and negative, - Church's undecidability theorem, Gödel’s incompleteness theorem, the theorem asserting the semi-decidability of provability - that have profoundly changed our vision of reasoning, computation, and finally truth itself. Designed for undergraduate students, this book presents all that philosophers, mathematicians and computer scientists should know about logic.

Computational Complexity


Computational Complexity

Author: Sanjeev Arora

language: en

Publisher: Cambridge University Press

Release Date: 2009-04-20


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New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.