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This beginning graduate textbook describes both recent achievements and classical results of computational complexity theory. Requiring essentially no background apart from mathematical maturity, the book can be used as a reference for self-study for anyone interested in complexity, including physicists, mathematicians, and other scientists, as well as a textbook for a variety of courses and seminars. More than 300 exercises are included with a selected hint
Produkt Computational Complexity (Arora Sanjeev)(Pevná vazba) má přiřazen EAN kód 9780521424264.
Kategorie | Knihy |
EAN | 9780521424264 |
This beginning graduate textbook describes both recent achievements and classical results of computational complexity theory. Requiring essentially no background apart from mathematical maturity, the book can be used as a reference for self-study for anyone interested in complexity, including
Computational Complexity of Counting and Sampling provides readers with comprehensive and detailed coverage of the subject of computational complexity. It is primarily geared toward researchers in enumerative combinatorics, discrete mathematics, and theoretical computer science. The book covers
Computational complexity is one of the most beautiful fields of modern mathematics, and it is increasingly relevant to other sciences ranging from physics to biology. But this beauty is often buried underneath layers of unnecessary formalism, and exciting recent results like interactiveproofs,
Complexity science uses computation to explore the physical and social sciences. In Think Complexity, you'll use graphs, cellular automata, and agent-based models to study topics in physics, biology, and economics. Whether you're an intermediate-level Python programmer or a student of
The first introductory textbook in the emerging, fast-developing field of computational psychiatry.Computational psychiatry applies computational modeling and theoretical approaches to psychiatric questions, focusing on building mathematical models of neural or cognitive phenomena relevant to
Detailed and pedagogical account of computational statistical physics, this book covers both theoretical foundations of equilibrium and non-equilibrium statistical physics, and also modern, computational applications. The accessible and self-contained approach adopted by the authors makes this book
Cormac McCarthy: A complexity theory of literature offers the first sustained analysis of complexity science in McCarthy's literary works. McCarthy's fiction makes a significant case study demonstrating how literature can help us imagine and grapple with complex systems and crises, from global
Covers basic mathematical, statistical and programming problems in computational statisticsAddresses both univariate and multivariate statistical data analysis and applications in finance, the life sciences and other disciplines Features R sniplets in the text and computer programs on GitHub that
Encompasses the full range of computational science and engineering from modelling to solution, both analytical and numerical. It develops a framework for the equations and numerical methods of applied mathematics. Gilbert Strang has taught this material to thousands of engineers and scientists
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A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques.This textbook provides a technical perspective on natural language processing--methods
Autonomous AI systems need complex computational techniques for planning and performing actions. Planning and acting require significant deliberation because an intelligent system must coordinate and integrate these activities in order to act effectively in the real world. This book presents a
Presenting the standard computational aspects of linear algebra, Linear Algebra includes a variety of intriguing applications geared toward science and engineering
Ergodic theory is hard to study because it is based on measure theory, which is a technically difficult subject to master for ordinary students, especially for physics majors. Many of the examples are introduced from a different perspective than in other books and theoretical ideas can be gradually
A landmark volume that explores the interconnected nature of technologies and rhetorical practice Rhetorical Machines addresses new approaches to studying computational processes within the growing field of digital rhetoric. While computational code is often seen as value-neutral and mechanical,
Part I Numerical Methods.- Error Analysis.- Interpolation.- Numerical Differentiation.- Numerical Integration.- Systems of Inhomogeneous Linear Equations.- Roots and Extremal Points.- Fourier Transformation.- Random Numbers and Monte-Carlo Methods.- Eigenvalue Problems.- Data Fitting.-
Digital history is an emerging field that draws on digital technology and computational methods. A global enterprise that invites scholars worldwide to join forces, it presents exciting and novel ways we might explore, understand and represent the past. Hannu Salmi provides the most compelling
Essential topic in modern life science researchSelf-contained presentationAuthors are leading researchers in the
'Complexity and moral ambiguity enough to make this a serious, engrossing story'-Analog SF Reclaimed Earth Book 2 In the year 2737, Earth is mostly depopulated in the wake of a massive supervolcano, but civilization and culture are preserved in vast orbiting ringstations. Tem, the nine-year-old son
Astrology in Medieval Manuscripts explores the dazzling complexity of western medieval astrology and its place in society, as revealed by a wealth of illustrated manuscripts from the British Library's rich medieval
This is a story about hope overcoming evil, written with satisfying moral complexity. Ruth's devastation breaks apart time. She sees that her hopes and dreams are a visceral halo of rainbow colours spinning to white... and that evil dream thieves are severing these halos from sleeping victims, many
A textbook for students with limited background in mathematics and computer coding, emphasizing computer tutorials that guide readers in producing models of neural behavior.This introductory text teaches students to understand, simulate, and analyze the complex behaviors of individual neurons and