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Coordination Programming

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Coordination, considered abstractly, is an ubiquitous notion in computer science: for example, programming languages coordinate elementary instructions; operating systems coordinate accesses to hardware resources; database transaction schedulers coordinate accesses to shared data; etc. All these situations have some common features, which can be identified at the abstract level as “coordination mechanisms”. This book focuses on a class of coordination models where multiple pieces of software coordinate their activities through some shared dataspace. The book has three parts. Part 1 presents the main coordination models studied in this book (Gamma, LO, TAO, LambdaN). Part 2 focuses on various semantics aspects of coordination, applied mainly to Gamma. Part 3 presents actual implementations of coordination models and an application.
Category: Computers. ISBN: 9781860940231

Mathematical Programming

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Mathematical Programming provides information pertinent to the developments in mathematical programming. This book covers a variety of topics, including integer programming, dynamic programming, game theory, nonlinear programming, and combinatorial equivalence. Organized into nine chapters, this book begins with an overview of optimization of very large-scale planning problems that can be achieved on significant problems. This text then introduces non-stationary policies and determines certain operating characteristics of the optimal policy for a very long planning horizon. Other chapters consider the perfect graph theorem by defining some well-known integer-valued functions of an arbitrary graph. This book discusses as well integer programming that deals with the class of mathematical programming problems in which some or all of the variables are required to be integers. The final chapter deals with the basic theorem of game theory. This book is a valuable resource for readers who are interested in mathematical programming. Mathematicians will also find this book useful.
Category: Mathematics. ISBN: 9780123583505

Dynamic Programming

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Introduction to sequential decision processes covers use of dynamic programming in studying models of resource allocation, methods for approximating solutions of control problems in continuous time, production control, more. 1982 edition.
Category: Technology. ISBN: 9780486428109

Dynamic Programming

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Introduction to mathematical theory of multistage decision processes takes a "functional equation" approach. Topics include existence and uniqueness theorems, optimal inventory equation, bottleneck problems, multistage games, Markovian decision processes, and more. 1957 edition.
Category: Technology. ISBN: 9780486428093

Mathematical Programming

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First Published in 2018. Routledge is an imprint of Taylor & Francis, an Informa company.
Category: Business. ISBN: 9780824774783

Programming Logics

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This Festschrift volume, published in memory of Harald Ganzinger, contains 17 papers from colleagues all over the world and covers all the fields to which Harald Ganzinger dedicated his work during his academic career.The volume begins with a complete account of Harald Ganzinger's work and then turns its focus to the research of his former colleagues, students, and friends who pay tribute to him through their writing. Their individual papers span a broad range of topics, including programming language semantics, analysis and verification, first-order and higher-order theorem proving, unification theory, non-classical logics, reasoning modulo theories, and applications of automated reasoning in biology.
Category: Computers. ISBN: 9783642376504

Programming Languages

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This book constitutes the proceedings of the 19 th Brazilian Symposium on Progamming Languages, SBLP 2015, held in Belo Horizonte, Brazil, in September 2015. The 10 papers presented in this volume were carefully reviewed and selected from 26 submissions. They deal with fundamental principles and innovations in the design and implementation of programming languages and systems.
Category: Computers. ISBN: 9783319240114

Credibilistic Programming

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It provides fuzzy programming approach to solve real-life decision problems in fuzzy environment. Within the framework of credibility theory, it provides a self-contained, comprehensive and up-to-date presentation of fuzzy programming models, algorithms and applications in portfolio analysis.
Category: Business. ISBN: 9783642363757

Bayesian Programming

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Probability as an Alternative to Boolean Logic While logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to email filtering, are incomplete or uncertain in nature. Probability theory and Bayesian computing together provide an alternative framework to deal with incomplete and uncertain data. Decision-Making Tools and Methods for Incomplete and Uncertain Data Emphasizing probability as an alternative to Boolean logic, Bayesian Programming covers new methods to build probabilistic programs for real-world applications. Written by the team who designed and implemented an efficient probabilistic inference engine to interpret Bayesian programs, the book offers many Python examples that are also available on a supplementary website together with an interpreter that allows readers to experiment with this new approach to programming. Principles and Modeling Only requiring a basic foundation in mathematics, the first two parts of the book present a new methodology for building subjective probabilistic models. The authors introduce the principles of Bayesian programming and discuss good practices for probabilistic modeling. Numerous simple examples highlight the application of Bayesian modeling in different fields. Formalism and Algorithms The third part synthesizes existing work on Bayesian inference algorithms since an efficient Bayesian inference engine is needed to automate the probabilistic calculus in Bayesian programs. Many bibliographic references are included for readers who would like more details on the formalism of Bayesian programming, the main probabilistic models, general purpose algorithms for Bayesian inference, and learning problems. FAQs Along with a glossary, the fourth part contains answers to frequently asked questions. The authors compare Bayesian programming and possibility theories, discuss the computational complexity of Bayesian inference, cover the irreducibility of incompleteness, and address the subjectivist versus objectivist epistemology of probability. The First Steps toward a Bayesian Computer A new modeling methodology, new inference algorithms, new programming languages, and new hardware are all needed to create a complete Bayesian computing framework. Focusing on the methodology and algorithms, this book describes the first steps toward reaching that goal. It encourages readers to explore emerging areas, such as bio-inspired computing, and develop new programming languages and hardware architectures.
Category: Business. ISBN: 9781439880326

Linear Programming

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The 4th Edition of this book introduces theory and applications in optimization, from linear programming to convex analysis, network flows, integer programming, quadratic programming and convex optimization. A related web site offers C programs and JAVA tools.
Category: Business. ISBN: 9781461476290
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