Computational Complexity And Statistical Physics PDF Download
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Author | : Allon Percus |
Publisher | : OUP USA |
Total Pages | : 386 |
Release | : 2006-02-23 |
Genre | : Computers |
ISBN | : 9780195177381 |
Download Computational Complexity and Statistical Physics Book in PDF, ePub and Kindle
Computer science and physics have been closely linked since the birth of modern computing. In recent years, an interdisciplinary area has blossomed at the junction of these fields, connecting insights from statistical physics with basic computational challenges. Researchers have successfully applied techniques from the study of phase transitions to analyze NP-complete problems such as satisfiability and graph coloring. This is leading to a new understanding of the structure of these problems, and of how algorithms perform on them. Computational Complexity and Statistical Physics will serve as a standard reference and pedagogical aid to statistical physics methods in computer science, with a particular focus on phase transitions in combinatorial problems. Addressed to a broad range of readers, the book includes substantial background material along with current research by leading computer scientists, mathematicians, and physicists. It will prepare students and researchers from all of these fields to contribute to this exciting area.
Author | : James Sethna |
Publisher | : OUP Oxford |
Total Pages | : 374 |
Release | : 2006-04-07 |
Genre | : Science |
ISBN | : 0191566217 |
Download Statistical Mechanics Book in PDF, ePub and Kindle
In each generation, scientists must redefine their fields: abstracting, simplifying and distilling the previous standard topics to make room for new advances and methods. Sethna's book takes this step for statistical mechanics - a field rooted in physics and chemistry whose ideas and methods are now central to information theory, complexity, and modern biology. Aimed at advanced undergraduates and early graduate students in all of these fields, Sethna limits his main presentation to the topics that future mathematicians and biologists, as well as physicists and chemists, will find fascinating and central to their work. The amazing breadth of the field is reflected in the author's large supply of carefully crafted exercises, each an introduction to a whole field of study: everything from chaos through information theory to life at the end of the universe.
Author | : Allon Percus |
Publisher | : Oxford University Press, USA |
Total Pages | : 394 |
Release | : 2006 |
Genre | : Computers |
ISBN | : 9780195177374 |
Download Computational Complexity and Statistical Physics Book in PDF, ePub and Kindle
Computer science and physics have been closely linked since the birth of modern computing. In recent years, an interdisciplinary area has blossomed at the junction of these fields, connecting insights from statistical physics with basic computational challenges. Researchers have successfully applied techniques from the study of phase transitions to analyze NP-complete problems such as satisfiability and graph coloring. This is leading to a new understanding of the structure of these problems, and of how algorithms perform on them. Computational Complexity and Statistical Physics will serve as a standard reference and pedagogical aid to statistical physics methods in computer science, with a particular focus on phase transitions in combinatorial problems. Addressed to a broad range of readers, the book includes substantial background material along with current research by leading computer scientists, mathematicians, and physicists. It will prepare students and researchers from all of these fields to contribute to this exciting area.
Author | : Werner Krauth |
Publisher | : Oxford University Press |
Total Pages | : 355 |
Release | : 2006-09-14 |
Genre | : Computers |
ISBN | : 0198515367 |
Download Statistical Mechanics: Algorithms and Computations Book in PDF, ePub and Kindle
CD-ROM contains more than one hundred pseudocode programs and close to 300 figures, line drawings, and tables contained in the book.
Author | : Marc Mézard |
Publisher | : Oxford University Press |
Total Pages | : 584 |
Release | : 2009-01-22 |
Genre | : Computers |
ISBN | : 019857083X |
Download Information, Physics, and Computation Book in PDF, ePub and Kindle
A very active field of research is emerging at the frontier of statistical physics, theoretical computer science/discrete mathematics, and coding/information theory. This book sets up a common language and pool of concepts, accessible to students and researchers from each of these fields.
Author | : Michael J. Kearns |
Publisher | : MIT Press |
Total Pages | : 194 |
Release | : 1990 |
Genre | : Computers |
ISBN | : 9780262111522 |
Download The Computational Complexity of Machine Learning Book in PDF, ePub and Kindle
We also give algorithms for learning powerful concept classes under the uniform distribution, and give equivalences between natural models of efficient learnability. This thesis also includes detailed definitions and motivation for the distribution-free model, a chapter discussing past research in this model and related models, and a short list of important open problems."
Author | : Sanjeev Arora |
Publisher | : Cambridge University Press |
Total Pages | : 609 |
Release | : 2009-04-20 |
Genre | : Computers |
ISBN | : 0521424267 |
Download Computational Complexity Book in PDF, ePub and Kindle
New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.
Author | : Florent Krzakala |
Publisher | : Oxford University Press |
Total Pages | : 319 |
Release | : 2016 |
Genre | : Science |
ISBN | : 0198743734 |
Download Statistical Physics, Optimization, Inference, and Message-Passing Algorithms Book in PDF, ePub and Kindle
This text gathers the lecture notes of the Les Houches Summer School that was held in October 2013 for an audience of advanced graduate students and post-doctoral fellows in statistical physics, theoretical physics, machine learning, and computer science.
Author | : P. Grassberger |
Publisher | : Springer Science & Business Media |
Total Pages | : 351 |
Release | : 2012-12-06 |
Genre | : Science |
ISBN | : 9401110689 |
Download From Statistical Physics to Statistical Inference and Back Book in PDF, ePub and Kindle
Physicists, when modelling physical systems with a large number of degrees of freedom, and statisticians, when performing data analysis, have developed their own concepts and methods for making the `best' inference. But are these methods equivalent, or not? What is the state of the art in making inferences? The physicists want answers. More: neural computation demands a clearer understanding of how neural systems make inferences; the theory of chaotic nonlinear systems as applied to time series analysis could profit from the experience already booked by the statisticians; and finally, there is a long-standing conjecture that some of the puzzles of quantum mechanics are due to our incomplete understanding of how we make inferences. Matter enough to stimulate the writing of such a book as the present one. But other considerations also arise, such as the maximum entropy method and Bayesian inference, information theory and the minimum description length. Finally, it is pointed out that an understanding of human inference may require input from psychologists. This lively debate, which is of acute current interest, is well summarized in the present work.
Author | : K.D. Sen |
Publisher | : Springer Science & Business Media |
Total Pages | : 304 |
Release | : 2011-08-27 |
Genre | : Science |
ISBN | : 9048138906 |
Download Statistical Complexity Book in PDF, ePub and Kindle
The understanding of electron density as the carrier of all the information of a multielectronic system is implicit in the theorems of density functional theory. Information theoretical based measures giving a quantitative understanding of statistical complexity of such systems is shaping up as a new area of research in chemical physics. This book is the first monograph of its kind covering the aspects of complexity measure in atoms and molecules.