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Derivation and Computation

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Release : 2000-05-18
Genre : Computers
Kind : eBook
Book Rating : 733/5 ( reviews)

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Book Synopsis Derivation and Computation by : H. Simmons

Download or read book Derivation and Computation written by H. Simmons. This book was released on 2000-05-18. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to simple type theory, containing 200 exercises with complete solutions.

Mathematics and Computation

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Release : 2019-10-29
Genre : Computers
Kind : eBook
Book Rating : 137/5 ( reviews)

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Book Synopsis Mathematics and Computation by : Avi Wigderson

Download or read book Mathematics and Computation written by Avi Wigderson. This book was released on 2019-10-29. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to computational complexity theory, its connections and interactions with mathematics, and its central role in the natural and social sciences, technology, and philosophy Mathematics and Computation provides a broad, conceptual overview of computational complexity theory—the mathematical study of efficient computation. With important practical applications to computer science and industry, computational complexity theory has evolved into a highly interdisciplinary field, with strong links to most mathematical areas and to a growing number of scientific endeavors. Avi Wigderson takes a sweeping survey of complexity theory, emphasizing the field’s insights and challenges. He explains the ideas and motivations leading to key models, notions, and results. In particular, he looks at algorithms and complexity, computations and proofs, randomness and interaction, quantum and arithmetic computation, and cryptography and learning, all as parts of a cohesive whole with numerous cross-influences. Wigderson illustrates the immense breadth of the field, its beauty and richness, and its diverse and growing interactions with other areas of mathematics. He ends with a comprehensive look at the theory of computation, its methodology and aspirations, and the unique and fundamental ways in which it has shaped and will further shape science, technology, and society. For further reading, an extensive bibliography is provided for all topics covered. Mathematics and Computation is useful for undergraduate and graduate students in mathematics, computer science, and related fields, as well as researchers and teachers in these fields. Many parts require little background, and serve as an invitation to newcomers seeking an introduction to the theory of computation. Comprehensive coverage of computational complexity theory, and beyond High-level, intuitive exposition, which brings conceptual clarity to this central and dynamic scientific discipline Historical accounts of the evolution and motivations of central concepts and models A broad view of the theory of computation's influence on science, technology, and society Extensive bibliography

Minimal Computation

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Author :
Release : 1997
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Minimal Computation by : Charles D. Yang

Download or read book Minimal Computation written by Charles D. Yang. This book was released on 1997. Available in PDF, EPUB and Kindle. Book excerpt:

Program Derivation by Fixed Point Computation

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Author :
Release : 1988
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Program Derivation by Fixed Point Computation by : International Business Machines Corporation. Research Division

Download or read book Program Derivation by Fixed Point Computation written by International Business Machines Corporation. Research Division. This book was released on 1988. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Derivative-Free Optimization

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Release : 2009-04-16
Genre : Mathematics
Kind : eBook
Book Rating : 683/5 ( reviews)

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Book Synopsis Introduction to Derivative-Free Optimization by : Andrew R. Conn

Download or read book Introduction to Derivative-Free Optimization written by Andrew R. Conn. This book was released on 2009-04-16. Available in PDF, EPUB and Kindle. Book excerpt: The first contemporary comprehensive treatment of optimization without derivatives. This text explains how sampling and model techniques are used in derivative-free methods and how they are designed to solve optimization problems. It is designed to be readily accessible to both researchers and those with a modest background in computational mathematics.

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