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Exercices Dalgebre Et De Probabilites Pc Psi
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Book Synopsis An Introduction to Lie Groups and Lie Algebras by : Alexander A. Kirillov
Download or read book An Introduction to Lie Groups and Lie Algebras written by Alexander A. Kirillov and published by Cambridge University Press. This book was released on 2008-07-31 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an introduction to semisimple Lie algebras. It is concise and informal, with numerous exercises and examples.
Book Synopsis From China to Paris by : Yvonne Dold-Samplonius
Download or read book From China to Paris written by Yvonne Dold-Samplonius and published by Franz Steiner Verlag. This book was released on 2002 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: The reports of a conference of 11 scholars who began the task of examing together primary sources that might shed som elight on exactly how and in what fomrs mathematical problems, concepts, and techniques may have been transmitted between various civilizations, from antiquity down to the European Renaissance following more or less the legendary silk routes between China and Western Europe.
Author :Neural Information Processing Systems Foundation Publisher :MIT Press ISBN 13 :0262026171 Total Pages :361 pages Book Rating :4.2/5 (62 download)
Book Synopsis Predicting Structured Data by : Neural Information Processing Systems Foundation
Download or read book Predicting Structured Data written by Neural Information Processing Systems Foundation and published by MIT Press. This book was released on 2007 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.
Book Synopsis Complex Semisimple Lie Algebras by : Jean-Pierre Serre
Download or read book Complex Semisimple Lie Algebras written by Jean-Pierre Serre and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: These notes are a record of a course given in Algiers from lOth to 21st May, 1965. Their contents are as follows. The first two chapters are a summary, without proofs, of the general properties of nilpotent, solvable, and semisimple Lie algebras. These are well-known results, for which the reader can refer to, for example, Chapter I of Bourbaki or my Harvard notes. The theory of complex semisimple algebras occupies Chapters III and IV. The proofs of the main theorems are essentially complete; however, I have also found it useful to mention some complementary results without proof. These are indicated by an asterisk, and the proofs can be found in Bourbaki, Groupes et Algebres de Lie, Paris, Hermann, 1960-1975, Chapters IV-VIII. A final chapter shows, without proof, how to pass from Lie algebras to Lie groups (complex-and also compact). It is just an introduction, aimed at guiding the reader towards the topology of Lie groups and the theory of algebraic groups. I am happy to thank MM. Pierre Gigord and Daniel Lehmann, who wrote up a first draft of these notes, and also Mlle. Franr,:oise Pecha who was responsible for the typing of the manuscript.
Book Synopsis An Introduction to Computational Learning Theory by : Michael J. Kearns
Download or read book An Introduction to Computational Learning Theory written by Michael J. Kearns and published by MIT Press. This book was released on 1994-08-15 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning. Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs. The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam's Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation.
Book Synopsis The Nature of Statistical Learning Theory by : Vladimir Vapnik
Download or read book The Nature of Statistical Learning Theory written by Vladimir Vapnik and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.
Book Synopsis Toward the United Front by : Communistische Internationale
Download or read book Toward the United Front written by Communistische Internationale and published by BRILL. This book was released on 2011-10-14 with total page 1323 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers, for the first time in English, the proceedings and decisions of the last congress of the Communist International held in Lenin’s lifetime. With an analytic introduction, detailed footnotes, 500 biographic notes, glossary, chronology, and index.
Book Synopsis Philostratus by : Philostratus (the Athenian)
Download or read book Philostratus written by Philostratus (the Athenian) and published by . This book was released on 1912 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Inverse Spectra by : Alex Chigogidze
Download or read book Inverse Spectra written by Alex Chigogidze and published by North Holland. This book was released on 1996-03-29 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Invited to translate his 1992 book from the Russian, Chigogidze chose instead to produce an updated version. He introduces a powerful method used in various branches of topology and also being applied to functional analysis and algebra. He surveys the Hilbert cube and Hilbert space manifold theories, recent developments of the Menger and Nobeling manifold theories, infinite-dimensional manifolds, cohomological dimensions, the general theory of absolute extensors in dimension n and n-soft mappings, the topology of non-metrizable manifolds, and applications in a number of areas. Annotation copyrighted by Book News, Inc., Portland, OR
Book Synopsis Numerical Methods for Least Squares Problems by : Ake Bjorck
Download or read book Numerical Methods for Least Squares Problems written by Ake Bjorck and published by SIAM. This book was released on 1996-01-01 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: The method of least squares was discovered by Gauss in 1795. It has since become the principal tool to reduce the influence of errors when fitting models to given observations. Today, applications of least squares arise in a great number of scientific areas, such as statistics, geodetics, signal processing, and control. In the last 20 years there has been a great increase in the capacity for automatic data capturing and computing. Least squares problems of large size are now routinely solved. Tremendous progress has been made in numerical methods for least squares problems, in particular for generalized and modified least squares problems and direct and iterative methods for sparse problems. Until now there has not been a monograph that covers the full spectrum of relevant problems and methods in least squares. This volume gives an in-depth treatment of topics such as methods for sparse least squares problems, iterative methods, modified least squares, weighted problems, and constrained and regularized problems. The more than 800 references provide a comprehensive survey of the available literature on the subject.
Book Synopsis Parallel Scientific Computing by : Frédéric Magoules
Download or read book Parallel Scientific Computing written by Frédéric Magoules and published by John Wiley & Sons. This book was released on 2016-01-26 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific computing has become an indispensable tool in numerous fields, such as physics, mechanics, biology, finance and industry. For example, it enables us, thanks to efficient algorithms adapted to current computers, to simulate, without the help of models or experimentations, the deflection of beams in bending, the sound level in a theater room or a fluid flowing around an aircraft wing. This book presents the scientific computing techniques applied to parallel computing for the numerical simulation of large-scale problems; these problems result from systems modeled by partial differential equations. Computing concepts will be tackled via examples. Implementation and programming techniques resulting from the finite element method will be presented for direct solvers, iterative solvers and domain decomposition methods, along with an introduction to MPI and OpenMP.
Book Synopsis Reinforcement Learning, second edition by : Richard S. Sutton
Download or read book Reinforcement Learning, second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Book Synopsis Graph Colouring and Applications by : Pierre Hansen
Download or read book Graph Colouring and Applications written by Pierre Hansen and published by American Mathematical Soc.. This book was released on 1999 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the CRM workshop on graph coloring and applications. The articles span a wide spectrum of topics related to graph coloring, including: list-colorings, total colorings, colorings and embeddings of graphs, chromatic polynomials, characteristic polynomials, chromatic scheduling, and graph coloring problems related to frequency assignment. Outstanding researchers in combinatorial optimization and graph theory contributed their work. A list of open problems is included.
Book Synopsis Model-Based Systems Engineering with OPM and SysML by : Dov Dori
Download or read book Model-Based Systems Engineering with OPM and SysML written by Dov Dori and published by Springer. This book was released on 2016-06-01 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model-Based Systems Engineering (MBSE), which tackles architecting and design of complex systems through the use of formal models, is emerging as the most critical component of systems engineering. This textbook specifies the two leading conceptual modeling languages, OPM—the new ISO 19450, composed primarily by the author of this book, and OMG SysML. It provides essential insights into a domain-independent, discipline-crossing methodology of developing or researching complex systems of any conceivable kind and size. Combining theory with a host of industrial, biological, and daily life examples, the book explains principles and provides guidelines for architecting complex, multidisciplinary systems, making it an indispensable resource for systems architects and designers, engineers of any discipline, executives at all levels, project managers, IT professional, systems scientists, and engineering students.
Download or read book Food Fray written by Lisa H. WEASEL Ph.D. and published by AMACOM Div American Mgmt Assn. This book was released on 2008-12-10 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: More than ten years ago, the first genetically modified foods took their place on the shelves of American supermarkets. But while American consumers remained blissfully unconcerned with the new products that suddenly filled their kitchens, Europeans were much more wary of these “Frankenfoods.” When famine struck Africa in 2002, several nations refused shipments of genetically modified foods, fueling a controversy that put the issue on the world's political agenda for good. In Food Fray, esteemed molecular biologist Dr. Lisa H. Weasel brings readers into the center of this debate, capturing the real-life experiences of the scientists, farmers, policymakers and grassroots activists on the front lines. Here she combines solid scientific knowledge and a gripping narrative to tell the real story behind the headlines and the hype. Seminal and cutting-edge, Food Fray enlightens and informs and will allow readers to make up their own minds about one of the most important issues facing us today.
Book Synopsis A Practical Guide to SysML by : Sanford Friedenthal
Download or read book A Practical Guide to SysML written by Sanford Friedenthal and published by Morgan Kaufmann. This book was released on 2009-08-25 with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Practical Guide to SysML: The Systems Modeling Language is a comprehensive guide to SysML for systems and software engineers. It provides an advanced and practical resource for modeling systems with SysML. The source describes the modeling language and offers information about employing SysML in transitioning an organization or project to model-based systems engineering. The book also presents various examples to help readers understand the OMG Systems Modeling Professional (OCSMP) Certification Program. The text is organized into four parts. The first part provides an overview of systems engineering. It explains the model-based approach by comparing it with the document-based approach and providing the modeling principles. The overview of SYsML is also discussed. The second part of the book covers a comprehensive description of the language. It discusses the main concepts of model organization, parametrics, blocks, use cases, interactions, requirements, allocations, and profiles. The third part presents examples that illustrate how SysML supports different model-based procedures. The last part discusses how to transition and deploy SysML into an organization or project. It explains the integration of SysML into a systems development environment. Furthermore, it describes the category of data that are exchanged between a SysML tool and other types of tools, and the types of exchange mechanisms that can be used. It also covers the criteria that must be considered when selecting a SysML. Software and systems engineers, programmers, IT practitioners, experts, and non-experts will find this book useful.*The authoritative guide for understanding and applying SysML*Authored by the foremost experts on the language*Language description, examples, and quick reference guide included
Download or read book Work 1961-73 written by Yvonne Rainer and published by . This book was released on 1974 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt:
