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4 edition of Algebraic theory of processes found in the catalog.

Algebraic theory of processes

Matthew Hennessy

Algebraic theory of processes

  • 120 Want to read
  • 4 Currently reading

Published by MIT Press in Cambridge, MA, London .
Written in English


Edition Notes

StatementMatthew Hennessy.
SeriesMIT Press series in the foundations of computing
The Physical Object
PaginationsM6.272.
Number of Pages272
ID Numbers
Open LibraryOL18309716M
ISBN 100262580934
OCLC/WorldCa456033547

  Using a simple yet rigorous approach, Algebraic and Stochastic Coding Theory makes the subject of coding theory easy to understand for readers with a thorough knowledge of digital arithmetic, Boolean and modern algebra, and probability theory. It explains the underlying principles of coding theory and offers a clear, detailed description of Cited by: 2. In The Algebraic Mind, Gary Marcus attempts to integrate two theories about how the mind works, one that says that the mind is a computer-like manipulator of symbols, and another that says that the mind is a large network of neurons working together in parallel. Resisting the conventional wisdom that says that if the mind is a large neural network it cannot simultaneously be a manipulator of.


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Algebraic theory of processes by Matthew Hennessy Download PDF EPUB FB2

Chapter 4, “Recursive Processes,” is the most elaborate in the book and provides the theory of recursive processes using the language of continuous algebras.

The third part of the book, “Communicating Processes,” is dedicated to the study of the EPL language. @article{osti_, title = {Algebraic theory of processes}, author = {Hennessy, M.}, abstractNote = {This book provides general and systematic introduction to the semantics of concurrent systems.

The author presents his own theory of the behavioral semantics of processes (testing equivalence) and original results in example languages for distributed processes. Algebraic Theory Of Processes book.

Read reviews from world’s largest community for readers. (paperback not available in U.S. and Canada)Reviews: 1. Algebraic Theory of Processes provides the first general and systematic introduction to the semantics of concurrent systems, a relatively new research area in computer science.

Rating: (not yet rated) 0 with reviews - Be the first. Algebraic Theory of Processes provides the first general and systematic introduction to the semantics of concurrent systems, a relatively new research area in computer. Algebraic Theory of Processes (Foundations of Computing Series) Hardcover – June 1, by Matthew Hennessy (Author) › Visit Amazon's Matthew Hennessy Page.

Find all the books, read about the author, and more. See search results for this author. Are you an author. Cited by: Print book: EnglishView all editions and formats: Summary: Algebraic Theory of Processes provides the first general and systematic introduction to the semantics of concurrent systems, a relatively new research area in computer science.

Rating: (not yet rated) 0 with reviews - Be the first. Algebraic Theory of Processes by Matthew Hennessy (Author) › Visit Amazon's Matthew Hennessy Page. Find all the books, read about the author, and more. See search results for this author. Are you an author. Learn about Author Central.

Matthew Hennessy (Author) out of 5 stars 1 rating. ISBN 4/5(1). Algebraic Theory of Processes provides the first general and systematic introduction to the semantics of concurrent systems, a relatively new research area in computer science.

Algebraic Theory of Processes is a valuable source of information for theoretical computer scientists, not only as an elegant and comprehensive introduction to the field but also in its discussion of the author's own theory of the behavioral semantics of processes ("testing equivalence") and original results in example languages for distributed.

Part 1, consisting of four chapters, covers a broad swath of the basic theory of process algebra. Part 2 contains two chapters devoted to the sub-specialization of process algebra known as finite-state processes, while the three chapters of Part 3 look at infinite-state processes, value-passing processes and mobile processes in particular.

Welcome to Algebraic Processes, Module 4 of Teaching Junior Secondary Mathematics. This series of six modules is designed to help you to strengthen your knowledge of mathematics topics and to acquire more instructional strategies for teaching mathematics in the classroom.

The guiding principles of these modules are to help make the connection. Title: Algebraic Theory of Processes (Foundations of Computing Series) Author Name: Matthew Hennessy Categories: Math, Computer & Technical, Publisher: Mit Algebraic theory of processes book ISBN Number: ISBN Number Binding: Hard Cover Book Condition: Very Good Jacket Condition: Very Good Type: Hard Cover Seller ID: Algebraic Theory of Processes provides the first general and systematic introduction to the semantics of concurrent systems, a relatively new research area in computer science.

Year: You can write a book review and share your experiences. Other readers will always be interested in your opinion of the books you've read. Informal interpretation. An algebraic theory consists of a collection of n-ary functional terms with additional rules (axioms).

E.g. a group theory is an algebraic theory because it has three functional terms: a binary operation a * b, a nullary operation 1 (neutral element), and a unary operation x → x −1 with the rules of associativity, neutrality and inversion respectively.

Process algebra An algebraic approach to the study of concurrent processes. Its tools are algebraical languages for the specification of processes and the formulation of statements about them, together with calculi for the verification of these statements.

[Van Glabbeek, ] The term "process algebra" was coined in by Bergstra & Klop [BK82]. Using a simple yet rigorous approach, Algebraic and Stochastic Coding Theory makes the subject of coding theory easy to understand for readers with a thorough knowledge of digital arithmetic, Boolean and modern algebra, and probability theory.

The major outlook in coding theory seems to be geared toward stochastic processes, and this book. Algebraic theory of processes This book should go a long way to do the perniciously inaccurate Romantic image of the superior-to-all, universal, “genius,” an image which is still inculcated, with criminal disregard for the catastrophic results, to schoolchildren all over the world.

Report "Algebraic graph theory" Your name. Algebra (from Arabic: الجبر ‎, transliterated "al-jabr", literally meaning "reunion of broken parts") is one of the broad parts of mathematics, together with number theory, geometry and its most general form, algebra is the study of mathematical symbols and the rules for manipulating these symbols; it is a unifying thread of almost all of mathematics.

Book Description. Using a simple yet rigorous approach, Algebraic and Stochastic Coding Theory makes the subject of coding theory easy to understand for readers with a thorough knowledge of digital arithmetic, Boolean and modern algebra, and probability explains the underlying principles of coding theory and offers a clear, detailed description of each code.

Algebraic number theory involves using techniques from (mostly commutative) algebra and finite group theory to gain a deeper understanding of number fields. The main objects that we study in algebraic number theory are number fields, rings of integers of number fields, unit groups, ideal class groups,norms, traces,File Size: KB.

I would recommend Stewart and Tall's Algebraic Number Theory and Fermat's Last Theorem for an introduction with minimal prerequisites. For example you don't need to know any module theory at all and all that is needed is a basic abstract algebra course (assuming it covers some ring and field theory).

Algebraic Theory of Processes provides the first general and systematic introduction to the semantics of concurrent systems, a relatively new research area in computer science. It develops the mathematical foundations of the algebraic approach to the formal semantics of languages and applies these ideas to a particular semantic theory of distributed by: Algebraic number theory involves using techniques from (mostly commutative) algebra and nite group theory to gain a deeper understanding of the arithmetic of number elds and related objects (e.g., functions elds, elliptic curves, etc.).

The main objects that we study in. This book highlights the latest advances in stochastic processes, probability theory, mathematical statistics, engineering mathematics and algebraic structures, focusing on mathematical models, structures, concepts, problems and computational methods and algorithms important in modern technology, engineering and natural sciences applications.

Algebraic and Stochastic Coding Theory - CRC Press Book Using a simple yet rigorous approach, Algebraic and Stochastic Coding Theory makes the subject of coding theory easy to understand for readers with a thorough knowledge of digital arithmetic.

Synopsis This book highlights the latest advances in stochastic processes, probability theory, mathematical statistics, engineering mathematics and algebraic structures, focusing on mathematical models, structures, concepts, problems and computational methods and algorithms important in modern technology, engineering and natural sciences comprises selected, high-quality.

Using a simple yet rigorous approach, Algebraic and Stochastic Coding Theory makes the subject of coding theory easy to understand for readers with a thorough knowledge of digital arithmetic, Boolean and modern algebra, and probability theory. It explains the underlying. Applied Automata Theory provides an engineering style of presentation of some of the applied work in the field of automata theory.

Topics covered range from algebraic foundations and recursive functions to regular expressions, threshold logic, and switching circuits. One can distinguish three parts of this book. The first four chapters are about probability theory, Chapters 5 to 8 concern random sequences, or discrete-time stochastic processes, and the rest of the book focuses on stochastic processes and point processes.

The present book gives an exposition of the classical basic algebraic and analytic number theory and supersedes my Algebraic Numbers, including much more material, e.

the class field theory on which 1 make further comments at the appropriate place later. For different points of view, the reader is encouraged to read the collec tion of papers from the Brighton Symposium (edited by Cassels 2/5(1).

Algebraic calculation systems for processes, e.g. Hoare's CSP[8] and Milner's CCS[13, 15], are used to describe communication processes and concurrent programs etc., and applied to verification.

Examples and Problems of Applied Differential Equations. Ravi P. Agarwal, Simona Hodis, and Donal O'Regan. Febru Ordinary Differential Equations, Textbooks. A Mathematician’s Practical Guide to Mentoring Undergraduate Research. Michael Dorff, Allison Henrich, and Lara Pudwell. Febru Undergraduate Research.

Algebraic Theory of Processes, Matthew Hennessy, PX: A Computational Logic, Susumu Hayashi and Hiroshi Nakano, This book covers classical models of computation and central results in computability computability and complexity theory has a breadth, depth, and generalityFile Size: 1MB.

Idea. An algebraic theory is a concept in universal algebra that describes a specific type of algebraic gadget, such as groups or individual group or ring is a model of the appropriate theory. Roughly speaking, an algebraic theory consists of a specification of. Algebraic theory of probabilistic processes Article in Journal of Logic and Algebraic Programming 56() May with 7 Reads How we measure 'reads'.

It is a Nature of Mathematics class very basic. Your response indicates part of my confusion. I know there are six, I think, but she outlined four: simplify, factor, evaluate and solve. Sure to be influential, this book lays the foundations for the use of algebraic geometry in statistical learning theory.

Many widely used statistical models and learning machines applied to information science have a parameter space that is singular: mixture models, neural networks, HMMs, Bayesian networks, and stochastic context-free grammars are major by: Using a simple yet rigorous approach, Algebraic and Stochastic Coding Theory makes the subject of coding theory easy to understand for readers with a thorough knowledge of digital arithmetic, Boolean and modern algebra, and probability explains the underlying principles of coding theory and offers a clear, detailed description of each code.

Probability Theory and Stochastic Processes Brémaud, P. () The ultimate objective of this book is to present a panoramic view of the main stochastic processes which have an impact on applications, with complete proofs and exercises.

Probability and Stochastic Processes. This book covers the following topics: Basic Concepts of Probability Theory, Random Variables, Multiple Random Variables, Vector Random Variables, Sums of Random Variables and Long-Term Averages, Random Processes, Analysis and Processing of Random Signals, Markov Chains, Introduction to Queueing Theory and Elements of a Queueing System.and sequential composition of processes.

This particular version of the theory was proposed by Bergstra and Klop in (see [4,6]); they presented it as a set of formal equations. 2 Algebraic process theory Algebraic process theory started in the ’s, with the introduction of CSP by Hoare [7,11,12]andofCCS by Milner [15,16].The theory of algebraic function fields over finite fields has its origins in number theory.

However, after Goppa`s discovery of algebraic geometry codes aroundmany applications of function fields were found in different areas of mathematics and information theory. This book presents survey articles on some of these new developments.