Using Hard Problems to Create Pseudorandom Generators PDF Download

Author: Noam Nisan
Publisher: MIT Press (MA)
ISBN: 9780262140515
Category : Computers
Languages : en
Pages : 43

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Book Description
This thesis describes two methods of constructing pseudorandom generators from hard problems.

Author: B. Nisan
Publisher:
ISBN:
Category :
Languages : en
Pages : 43

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Book Description

Author: Prosenjit K. Bose
Publisher: Springer
ISBN: 3540361367
Category : Mathematics
Languages : en
Pages : 668

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Book Description
Annotation. This book constitutes the refereed proceedings of the 13th Annual International Symposium on Algorithms and Computation, ISAAC 2002, held in Vancouver, BC, Canada in November 2002. The 54 revised full papers presented together with 3 invited contributions were carefully reviewed and selected from close to 160 submissions. The papers cover all relevant topics in algorithmics and computation, in particular computational geometry, algorithms and data structures, approximation algorithms, randomized algorithms, graph drawing and graph algorithms, combinatorial optimization, computational biology, computational finance, cryptography, and parallel and distributedd algorithms.

Author: Lane A. Hemaspaandra
Publisher: Springer Science & Business Media
ISBN: 9780387949734
Category : Computers
Languages : en
Pages : 360

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Book Description
This volume provides a survey of the subject in the form of a collection of articles written by experts, that together provides a comprehensive guide to research. The editors'aim has been to provide an accessible description of the current stae of complexity theory, and to demonstrate the breadth of techniques and results that make this subject so exciting. Thus, papers run the gamut from sublogarithmic space to exponential time, and from new combinatorial techniques to interactive proof systems.

Author: Gheorghe Paun
Publisher: World Scientific
ISBN: 9814492051
Category : Computers
Languages : en
Pages : 881

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Book Description
The scientific developments at the end of the past millennium were dominated by the huge increase and diversity of disciplines with the common label “computer science”. The theoretical foundations of such disciplines have become known as theoretical computer science. This book highlights some key issues of theoretical computer science as they seem to us now, at the beginning of the new millennium.The text is based on columns and tutorials published in the Bulletin of the European Association for Theoretical Computer Science in the period 1995-2000. The columnists themselves selected the material they wanted for the book, and the editors had a chance to update their work. Indeed, much of the material presented here appears in a form quite different from the original. Since the presentation of most of the articles is reader-friendly and does not presuppose much knowledge of the area, the book constitutes suitable supplementary reading material for various courses in computer science.

Author: Oded Goldreich
Publisher: American Mathematical Soc.
ISBN: 0821851926
Category : Computers
Languages : en
Pages : 130

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Book Description
The primer assumes basic familiarity with the notion of efficient algorithms and with elementary probability theory, but provides a basic introduction to all notions that are actually used. as a result, the primer is essentially self-contained, although the interested reader is at times referred to other sources for more detail. --Book Jacket.

Author: John R. Koza
Publisher: MIT Press
ISBN: 9780262111706
Category : Computers
Languages : en
Pages : 856

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Book Description
In this ground-breaking book, John Koza shows how this remarkable paradigm works and provides substantial empirical evidence that solutions to a great variety of problems from many different fields can be found by genetically breeding populations of computer programs. Genetic programming may be more powerful than neural networks and other machine learning techniques, able to solve problems in a wider range of disciplines. In this ground-breaking book, John Koza shows how this remarkable paradigm works and provides substantial empirical evidence that solutions to a great variety of problems from many different fields can be found by genetically breeding populations of computer programs. Genetic Programming contains a great many worked examples and includes a sample computer code that will allow readers to run their own programs.In getting computers to solve problems without being explicitly programmed, Koza stresses two points: that seemingly different problems from a variety of fields can be reformulated as problems of program induction, and that the recently developed genetic programming paradigm provides a way to search the space of possible computer programs for a highly fit individual computer program to solve the problems of program induction. Good programs are found by evolving them in a computer against a fitness measure instead of by sitting down and writing them.

Author: Friedhelm Meyer auf der Heide
Publisher: Springer Science & Business Media
ISBN: 9783540614401
Category : Computers
Languages : en
Pages : 700

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Book Description
This volume constitutes the refereed proceedings of the 23rd International Colloquium on Automata, Languages and Programming (ICALP '96), held at Paderborn, Germany, in July 1996. ICALP is an annual conference sponsored by the European Association on Theoretical Computer Science (EATCS). The proceedings contain 52 refereed papers selected from 172 submissions and 4 invited papers. The papers cover the whole range of theoretical computer science; they are organized in sections on: Process Theory; Fairness, Domination, and the u-Calculus; Logic and Algebra; Languages and Processes; Algebraic Complexity; Graph Algorithms; Automata; Complexity Theory; Combinatorics on Words; Algorithms; Lower Bounds; Data Structures...

Author:
Publisher:
ISBN:
Category : Computer engineering
Languages : en
Pages : 164

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Book Description

Author: Balasubramanian, Kannan
Publisher: IGI Global
ISBN: 1522529160
Category : Computers
Languages : en
Pages : 321

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Book Description
Cryptography is a field that is constantly advancing, due to exponential growth in new technologies within the past few decades. Applying strategic algorithms to cryptic issues can help save time and energy in solving the expanding problems within this field. Algorithmic Strategies for Solving Complex Problems in Cryptography is an essential reference source that discusses the evolution and current trends in cryptology, and it offers new insight into how to use strategic algorithms to aid in solving intricate difficulties within this domain. Featuring relevant topics such as hash functions, homomorphic encryption schemes, two party computation, and integer factoring, this publication is ideal for academicians, graduate students, engineers, professionals, and researchers interested in expanding their knowledge of current trends and techniques within the cryptology field.