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cemil atakara complexity

Искать Ko Ker-I Theory of Computational Complexity
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Искать George Donald A.R. Nonlinearity, Complexity and Randomness in Economics. Towards Algorithmic Foundations for Economics
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Искать Curlee Wanda Complexity Theory and Project Management
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Curlee Wanda Complexity Theory and Project Management

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Искать Edgar Peters E. Complexity, Risk, and Financial Markets
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Edgar Peters E. Complexity, Risk, and Financial Markets

2009.69 рублей

Искать Armin Bunde Extreme Events and Natural Hazards. The Complexity Perspective
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Armin Bunde Extreme Events and Natural Hazards. The Complexity Perspective

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Искать Morel Mederic Managing Complexity of Information Systems. The Value of Simplicity
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Morel Mederic Managing Complexity of Information Systems. The Value of Simplicity

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Искать Mark Mason Complexity Theory and the Philosophy of Education
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Mark Mason Complexity Theory and the Philosophy of Education

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Искать Matthias Dehmer Advances in Network Complexity
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Искать Олег Варламов Mivar NETs and logical inference with the linear complexity
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Искать Denis Constales Kinetics of Chemical Reactions. Decoding Complexity
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Искать Gerard Ligozat Qualitative Spatial and Temporal Reasoning
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Искать Camilo Olaya Social Systems Engineering. The Design of Complexity
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cemil atakara complexity характеристики

Praise for the First Edition «…complete, up-to-date coverage of computational complexity theory…the book promises to become the standard reference on computational complexity.» -Zentralblatt MATH A thorough revision based on advances in the field of computational complexity and readers’ feedback, the Second Edition of Theory of Computational Complexity presents updates to the principles and applications essential to understanding modern computational complexity theory. The new edition continues to serve as a comprehensive resource on the use of software and computational approaches for solving algorithmic problems and the related difficulties that can be encountered. Maintaining extensive and detailed coverage, Theory of Computational Complexity, Second Edition, examines the theory and methods behind complexity theory, such as computational models, decision tree complexity, circuit complexity, and probabilistic complexity. The Second Edition also features recent developments on areas such as NP-completeness theory, as well as: A new combinatorial proof of the PCP theorem based on the notion of expander graphs, a research area in the field of computer science Additional exercises at varying levels of difficulty to further test comprehension of the presented material End-of-chapter literature reviews that summarize each topic and offer additional sources for further study Theory of Computational Complexity, Second Edition, is an excellent textbook for courses on computational theory and complexity at the graduate level. The book is also a useful reference for practitioners in the fields of computer science, engineering, and mathematics who utilize state-of-the-art software and computational methods to conduct research. A thorough revision based on advances in the field of computational complexity and readers’feedback, the Second Edition of Theory of Computational Complexity presents updates to theprinciples and applications essential to understanding modern computational complexitytheory. The new edition continues to serve as a comprehensive resource on the use of softwareand computational approaches for solving algorithmic problems and the related difficulties thatcan be encountered.Maintaining extensive and detailed coverage, Theory of Computational Complexity, SecondEdition, examines the theory and methods behind complexity theory, such as computationalmodels, decision tree complexity, circuit complexity, and probabilistic complexity. The SecondEdition also features recent dev

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