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Algorithmic Principles of Mathematical Programming, Ulrich Faigle; W. Kern; G. Still


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Автор: Ulrich Faigle; W. Kern; G. Still
Название:  Algorithmic Principles of Mathematical Programming
ISBN: 9789048161171
Издательство: Springer
Классификация:


ISBN-10: 9048161177
Обложка/Формат: Paperback
Страницы: 339
Вес: 0.49 кг.
Дата издания: 07.12.2010
Серия: Texts in the Mathematical Sciences
Язык: English
Размер: 234 x 156 x 19
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Algorithmic Principles of Mathematical Programming investigates the mathematical structures and principles underlying the design of efficient algorithms for optimization problems. Recent advances in algorithmic theory have shown that the traditionally separate areas of discrete optimization, linear programming, and nonlinear optimization are closely linked. This book offers a comprehensive introduction to the whole subject and leads the reader to the frontiers of current research. The prerequisites to use the book are very elementary. All the tools from numerical linear algebra and calculus are fully reviewed and developed. Rather than attempting to be encyclopedic, the book illustrates the important basic techniques with typical problems. The focus is on efficient algorithms with respect to practical usefulness. Algorithmic complexity theory is presented with the goal of helping the reader understand the concepts without having to become a theoretical specialist. Further theory is outlined and supplemented with pointers to the relevant literature.
The book is equally suited for self-study for a motivated beginner and for a comprehensive course on the principles of mathematical programming within an applied mathematics or computer science curriculum at advanced undergraduate or graduate level. The presentation of the material is such that smaller modules on discrete optimization, linear programming, and nonlinear optimization can easily be extracted separately and used for shorter specialized courses on these subjects.


Algorithmic Learning Theory - ALT `92

Автор: Shuji Doshita; Koichi Furukawa; Klaus P. Jantke; T
Название: Algorithmic Learning Theory - ALT `92
ISBN: 3540573690 ISBN-13(EAN): 9783540573692
Издательство: Springer
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Цена: 65210.00 T
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Описание: This volume contains the research papers presented at the 3rd Workshop on Algorithmic Learning Theory, held in Tokyo, Japan, in October 1992. It is organized into sections on neural networks, learning via query, inductive inference, analogical reasoning and approximate learning.

Algorithmic Learning Theory

Автор: Klaus P. Jantke; Shigenobu Kobayashi; Etsuji Tomit
Название: Algorithmic Learning Theory
ISBN: 3540573704 ISBN-13(EAN): 9783540573708
Издательство: Springer
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Цена: 81050.00 T
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Описание: This volume contains all the papers that were presented at the Fourth Workshop on Algorithmic Learning Theory, held in Tokyo in November 1993. It is organized into parts on inductive logic and inference; approximate learning; query learning; explanation-based learning; and new learning paradigms.

Algebraic and Algorithmic Aspects of Differential and Integral Operators

Автор: Moulay Barkatou; Thomas Cluzeau; Georg Regensburge
Название: Algebraic and Algorithmic Aspects of Differential and Integral Operators
ISBN: 3642544789 ISBN-13(EAN): 9783642544781
Издательство: Springer
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Цена: 44720.00 T
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Описание: Constructions of Free Commutative Integro-Differential Algebras.- Basic Module Theory over Non-commutative Rings with Computational Aspects of Operator Algebras.- Operational Calculi for Nonlocal Cauchy Problems in Resonance Cases.- Intertwining Laplace Transformations of Linear Partial Differential Equations.- Composing and Factoring Generalized Green's Operators and Ordinary Boundary Problems.- Relativistic Coulomb Integrals and Zeilberger's Holonomic Systems Approach II.- Multivariate Dimension Polynomials of Inversive Difference Field Extensions.- Differential (Monoid) Algebra and More.- Exact Solution of Local and Nonlocal BVPs for the Laplace Equation in a Rectangle.

Algorithmic Game Theory

Автор: Vittorio Bil?; Michele Flammini
Название: Algorithmic Game Theory
ISBN: 3319666991 ISBN-13(EAN): 9783319666990
Издательство: Springer
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Цена: 60550.00 T
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Описание: This book constitutes the refereed proceedings of the 10th International Symposium on Algorithmic Game Theory, SAGT 2017, held in L`Aquila, Italy, in September 2017. The 30 full papers presented were carefully reviewed and selected from 66 submissions.

Extended Cognition and the Dynamics of Algorithmic Skills

Автор: Simone Pinna
Название: Extended Cognition and the Dynamics of Algorithmic Skills
ISBN: 3319518402 ISBN-13(EAN): 9783319518404
Издательство: Springer
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Цена: 83850.00 T
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Описание: This book describes a novel methodology for studying algorithmic skills, intended as cognitive activities related to rule-based symbolic transformation, and argues that some human computational abilities may be interpreted and analyzed as genuine examples of extended cognition.

Geometric and Algorithmic of Computer-Aided Design and Manufacturing

Название: Geometric and Algorithmic of Computer-Aided Design and Manufacturing
ISBN: 0821836285 ISBN-13(EAN): 9780821836286
Издательство: Oxford Academ
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Цена: 118270.00 T
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Описание: Computer-Aided Design and Manufacturing (CAD/CAM) is concerned with all aspects of the process of designing, prototyping, manufacturing, inspecting, and maintaining complex geometric objects under computer control. As such, there is a natural synergy between this field and Computational Geometry (CG), which involves the design, analysis, implementation, and testing of efficient algorithms and data representation techniques for geometric entities such as points, polygons, polyhedra, curves, and surfaces. The DIMACS Center (Piscataway, NJ) sponsored a workshop to further promote the interaction between these two fields. Attendees from academia, research laboratories, and industry took part in the invited talks, contributeresentations, and informal discussions. This volume is an outgrowth of that meeting. Topics covered in this volume include geometric modeling, computational topology, computational metrology, geometric constraint solving, part immobilization, geometric aspects of machining, layered manufacturing, and algebraic methods. The book is suitable for graduate students and researchers interested in geometric and algorithmic aspects of computer-aided design and manufacturing.

Algorithmic Game Theory

Автор: Gairing
Название: Algorithmic Game Theory
ISBN: 3662533537 ISBN-13(EAN): 9783662533536
Издательство: Springer
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Цена: 54040.00 T
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Описание: This book constitutes the refereed proceedings of the 9th International Symposium on Algorithmic Game Theory, SAGT 2016, held in Liverpool, UK, in September 2016.

The 26 full papers presented together with 2 one-page abstracts were carefully reviewed and selected from 62 submissions.
The accepted submissions cover various important aspects
of algorithmic game theory such as computational aspects of games, congestion games and networks, matching and voting, auctions and markets, and mechanism design.

Report of Algorithmic Language ALGOL 68

Автор: Adriaan van van Wijngaarden
Название: Report of Algorithmic Language ALGOL 68
ISBN: 366238647X ISBN-13(EAN): 9783662386477
Издательство: Springer
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Цена: 77320.00 T
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Twenty Lectures on Algorithmic Game Theory

Автор: Roughgarden
Название: Twenty Lectures on Algorithmic Game Theory
ISBN: 1107172667 ISBN-13(EAN): 9781107172661
Издательство: Cambridge Academ
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Цена: 81310.00 T
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Описание: This book gives students a quick and accessible introduction to many of the most important concepts in the field of algorithmic game theory. It demonstrates these concepts through case studies in online advertising, wireless spectrum auctions, kidney exchange, and network management.

Recent Advances in Algorithmic Differentiation

Автор: Shaun Forth; Paul Hovland; Eric Phipps; Jean Utke;
Название: Recent Advances in Algorithmic Differentiation
ISBN: 3642439918 ISBN-13(EAN): 9783642439919
Издательство: Springer
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Цена: 153720.00 T
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Описание: The proceedings represent the state of knowledge in the area of algorithmic differentiation (AD). The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineering as well as aspects of AD theory and its implementation in tools.

Algorithmic Learning Theory

Автор: Michael M. Richter; Carl H. Smith; Rolf Wiehagen;
Название: Algorithmic Learning Theory
ISBN: 354065013X ISBN-13(EAN): 9783540650133
Издательство: Springer
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Цена: 69870.00 T
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Описание: A collection of papers from the 9th International Conference on Algorithmic Learning Theory. They are organized in sections on inductive logic programming and data mining, inductive inference, learning via queries, prediction algorithms, inductive logic programming and learning formal languages.

Algorithmic Learning Theory

Автор: Klaus P. Jantke; Takeshi Shinohara; Thomas Zeugman
Название: Algorithmic Learning Theory
ISBN: 3540604545 ISBN-13(EAN): 9783540604549
Издательство: Springer
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Цена: 65210.00 T
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Описание: These conference proceedings cover current areas related to algorithmic learning theory, in particular the theory of machine learning, design and analysis of learning algorithms, computational logic aspects, inductive inference, learning via queries, and pattern recognition.


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