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| process algebra examples: Introduction to Process Algebra Wan Fokkink, 2013-03-09 Automated and semi-automated manipulation of so-called labelled transition systems has become an important means in discovering flaws in software and hardware systems. Process algebra has been developed to express such labelled transition systems algebraically, which enhances the ways of manipulation by means of equational logic and term rewriting. The theory of process algebra has developed rapidly over the last twenty years, and verification tools have been developed on the basis of process algebra, often in cooperation with techniques related to model checking. This textbook gives a thorough introduction into the basics of process algebra and its applications. |
| process algebra examples: Process Algebra for Parallel and Distributed Processing Michael Alexander, William Gardner, 2008-12-22 Collects the Latest Research Involving the Application of Process Algebra to ComputingExploring state-of-the-art applications, Process Algebra for Parallel and Distributed Processing shows how one formal method of reasoning-process algebra-has become a powerful tool for solving design and implementation challenges of concurrent systems. Parallel Pr |
| process algebra examples: Process Algebra: Equational Theories of Communicating Processes J. C. M. Baeten, M. A. Reniers, 2010 Presents a unified overview of the various process algebras currently in use and sets the standard for the field. |
| process algebra examples: Property-Preserving Petri Net Process Algebra in Software Engineering Hejiao Huang, 2012 Annotation In a component-based approach for system design, one of the difficult problems is how to prove the correctness of the created components. This volume presents a component-based methodology for the creation and verification of design specifications. |
| process algebra examples: Handbook of Process Algebra J.A. Bergstra, A. Ponse, S.A. Smolka, 2001-03-16 Process Algebra is a formal description technique for complex computer systems, especially those involving communicating, concurrently executing components. It is a subject that concurrently touches many topic areas of computer science and discrete math, including system design notations, logic, concurrency theory, specification and verification, operational semantics, algorithms, complexity theory, and, of course, algebra.This Handbook documents the fate of process algebra since its inception in the late 1970's to the present. It is intended to serve as a reference source for researchers, students, and system designers and engineers interested in either the theory of process algebra or in learning what process algebra brings to the table as a formal system description and verification technique. The Handbook is divided into six parts spanning a total of 19 self-contained Chapters. The organization is as follows. 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. Part 4, also three chapters in length, explores several extensions to process algebra including real-time, probability and priority. The four chapters of Part 5 examine non-interleaving process algebras, while Part 6's three chapters address process-algebra tools and applications. |
| process algebra examples: Petri Net Algebra Eike Best, Raymond Devillers, Maciej Koutny, 2013-03-09 In modern society services and support provided by computer-based systems have become ubiquitous and indeed have started to fund amentally alter the way people conduct their business. Moreover, it has become apparent that among the great variety of computer technologies available to potential users a crucial role will be played by concurrent systems. The reason is that many commonly occurring phenomena and computer applications are highly con current : typical examples include control systems, computer networks, digital hardware, business computing, and multimedia systems. Such systems are characterised by ever increasing complexity, which results when large num bers of concurrently active components interact. This has been recognised and addressed within the computing science community. In particular, sev eral form al models of concurrent systems have been proposed, studied, and applied in practice. This book brings together two of the most widely used formalisms for de scribing and analysing concurrent systems: Petri nets and process algebras. On the one hand , process algebras allow one to specify and reason about the design of complex concurrent computing systems by means of algebraic operators corresponding to common programming constructs. Petri nets, on the other hand, provide a graphical representation of such systems and an additional means of verifying their correctness efficiently, as well as a way of expressing properties related to causality and concurrency in system be haviour. |
| process algebra examples: A Compositional Approach to Performance Modelling Jane Hillston, 1996-06-13 Describes new theory for performance modelling and applies it to communication systems. |
| process algebra examples: Processes, Terms and Cycles: Steps on the Road to Infinity Aart Middeldorp, 2005-12-13 This Festschrift is dedicated to Jan Willem Klop on the occasion of his 60th birthday. The volume comprises a total of 23 scientific papers by close friends and colleagues, written specifically for this book. The papers are different in nature: some report on new research, others have the character of a survey, and again others are mainly expository. Every contribution has been thoroughly refereed at least twice. In many cases the first round of referee reports led to significant revision of the original paper, which was again reviewed. The articles especially focus upon the lambda calculus, term rewriting and process algebra, the fields to which Jan Willem Klop has made fundamental contributions. |
| process algebra examples: Linear Algebra and Linear Operators in Engineering H. Ted Davis, Kendall T. Thomson, 2000-07-12 Designed for advanced engineering, physical science, and applied mathematics students, this innovative textbook is an introduction to both the theory and practical application of linear algebra and functional analysis. The book is self-contained, beginning with elementary principles, basic concepts, and definitions. The important theorems of the subject are covered and effective application tools are developed, working up to a thorough treatment of eigenanalysis and the spectral resolution theorem. Building on a fundamental understanding of finite vector spaces, infinite dimensional Hilbert spaces are introduced from analogy. Wherever possible, theorems and definitions from matrix theory are called upon to drive the analogy home. The result is a clear and intuitive segue to functional analysis, culminating in a practical introduction to the functional theory of integral and differential operators. Numerous examples, problems, and illustrations highlight applications from all over engineering and the physical sciences. Also included are several numerical applications, complete with Mathematica solutions and code, giving the student a hands-on introduction to numerical analysis. Linear Algebra and Linear Operators in Engineering is ideally suited as the main text of an introductory graduate course, and is a fine instrument for self-study or as a general reference for those applying mathematics. - Contains numerous Mathematica examples complete with full code and solutions - Provides complete numerical algorithms for solving linear and nonlinear problems - Spans elementary notions to the functional theory of linear integral and differential equations - Includes over 130 examples, illustrations, and exercises and over 220 problems ranging from basic concepts to challenging applications - Presents real-life applications from chemical, mechanical, and electrical engineering and the physical sciences |
| process algebra examples: A Calculus of Distributed and Parallel Processes Clemens H. Cap, 2012-12-06 It is the good reader that makes the good book. RALPH WALDO EMERSON, Society & Solitude. In the course of two projects, the author of this book was involved in the design of the platforms PARFORM [CS93) and LOLA [Cap94), [CS) for the support of parallel computing in distributed systems. The former system was geared towards the highly efficient use of idle resources in networks of workstations, and the latter system was intended as a scalability study: How many workstations in the global Internet can be used simultaneously for solving a massively parallel problem? In one of the experiments conducted with these systems, up to 800 workstations on all five continents were cooperating for the solution of a search problem from molecular biology [Cap94). The most important lessons which the author was forced to learn during the course of these projects were not to rely on any documentation of network-and low-level system-calls, to use neither common sense nor mathematical logic during the design of a large distributed system, but to be happy with a working program, and not to ask, why it would work. |
| process algebra examples: Algebraic Methods: Theory, Tools and Applications Martin Wirsing, Jan A. Bergstra, 1989-09-20 |
| process algebra examples: Introduction To Stochastic Calculus With Applications (2nd Edition) Fima C Klebaner, 2005-06-20 This book presents a concise treatment of stochastic calculus and its applications. It gives a simple but rigorous treatment of the subject including a range of advanced topics, it is useful for practitioners who use advanced theoretical results. It covers advanced applications, such as models in mathematical finance, biology and engineering.Self-contained and unified in presentation, the book contains many solved examples and exercises. It may be used as a textbook by advanced undergraduates and graduate students in stochastic calculus and financial mathematics. It is also suitable for practitioners who wish to gain an understanding or working knowledge of the subject. For mathematicians, this book could be a first text on stochastic calculus; it is good companion to more advanced texts by a way of examples and exercises. For people from other fields, it provides a way to gain a working knowledge of stochastic calculus. It shows all readers the applications of stochastic calculus methods and takes readers to the technical level required in research and sophisticated modelling.This second edition contains a new chapter on bonds, interest rates and their options. New materials include more worked out examples in all chapters, best estimators, more results on change of time, change of measure, random measures, new results on exotic options, FX options, stochastic and implied volatility, models of the age-dependent branching process and the stochastic Lotka-Volterra model in biology, non-linear filtering in engineering and five new figures.Instructors can obtain slides of the text from the author./a |
| process algebra examples: The Book of Traces Volker Diekert, Grzegorz Rozenberg, 1995 The theory of traces employs techniques and tackles problems from quite diverse areas which include formal language theory, combinatorics, graph theory, algebra, logic, and the theory of concurrent systems. In all these areas the theory of traces has led to interesting problems and significant results. It has made an especially big impact in formal language theory and the theory of concurrent systems. In both these disciplines it is a well-recognized and dynamic research area. Within formal language theory it yields the theory of partially commutative monoids, and provides an important connection between languages and graphs. Within the theory of concurrent systems it provides an important formal framework for the analysis and synthesis of concurrent systems.This monograph covers all important research lines of the theory of traces; each chapter is devoted to one research line and is written by leading experts. The book is organized in such a way that each chapter can be read independently ? and hence it is very suitable for advanced courses or seminars on formal language theory, the theory of concurrent systems, the theory of semigroups, and combinatorics. An extensive bibliography is included. At present, there is no other book of this type on trace theory. |
| process algebra examples: Open Middle Math Robert Kaplinsky, 2023-10-10 This book is an amazing resource for teachers who are struggling to help students develop both procedural fluency and conceptual understanding.. --Dr. Margaret (Peg) Smith, co-author of5 Practices for Orchestrating Productive Mathematical Discussions Robert Kaplinsky, the co-creator of Open Middle math problems, brings hisnew class of tasks designed to stimulate deeper thinking and lively discussion among middle and high school students in Open Middle Math: Problems That Unlock Student Thinking, Grades 6-12. The problems are characterized by a closed beginning,- meaning all students start with the same initial problem, and a closed end,- meaning there is only one correct or optimal answer. The key is that the middle is open- in the sense that there are multiple ways to approach and ultimately solve the problem. These tasks have proven enormously popular with teachers looking to assess and deepen student understanding, build student stamina, and energize their classrooms. Professional Learning Resource for Teachers: Open Middle Math is an indispensable resource for educators interested in teaching student-centered mathematics in middle and high schools consistent with the national and state standards. Sample Problems at Each Grade: The book demonstrates the Open Middle concept with sample problems ranging from dividing fractions at 6th grade to algebra, trigonometry, and calculus. Teaching Tips for Student-Centered Math Classrooms: Kaplinsky shares guidance on choosing problems, designing your own math problems, and teaching for multiple purposes, including formative assessment, identifying misconceptions, procedural fluency, and conceptual understanding. Adaptable and Accessible Math: The tasks can be solved using various strategies at different levels of sophistication, which means all students can access the problems and participate in the conversation. Open Middle Math will help math teachers transform the 6th -12th grade classroom into an environment focused on problem solving, student dialogue, and critical thinking. |
| process algebra examples: Introduction to Applied Linear Algebra Stephen Boyd, Lieven Vandenberghe, 2018-06-07 A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples. |
| process algebra examples: How to Solve Word Problems in Algebra, 2nd Edition Mildred Johnson, Timothy Johnson, 1999-08-25 Solving word problems has never been easier than with Schaum's How to Solve Word Problems in Algebra! This popular study guide shows students easy ways to solve what they struggle with most in algebra: word problems. How to Solve Word Problems in Algebra, Second Edition, is ideal for anyone who wants to master these skills. Completely updated, with contemporary language and examples, features solution methods that are easy to learn and remember, plus a self-test. |
| process algebra examples: CONCUR '91 Jos C.M. Baeten, 1991-08-14 CONCUR'91 is the second international conference on concurrency theory, organized in association with the NFI project Transfer. It is a sequel to the CONCUR'90 conference. Its basic aim is to communicate ongoing work in concurrency theory. This proceedings volume contains 30 papers selected for presentation at the conference (from 71 submitted) together with four invited papers and abstracts of the other invited papers. The papers are organized into sections on process algebras, logics and model checking, applications and specification languages, models and net theory, design and real-time, tools and probabilities, and programming languages. The proceedings of CONCUR'90 are available asVolume 458 of Lecture Notes in Computer Science. |
| process algebra examples: A Book of Abstract Algebra Charles C Pinter, 2010-01-14 Accessible but rigorous, this outstanding text encompasses all of the topics covered by a typical course in elementary abstract algebra. Its easy-to-read treatment offers an intuitive approach, featuring informal discussions followed by thematically arranged exercises. This second edition features additional exercises to improve student familiarity with applications. 1990 edition. |
| process algebra examples: Programs, Proofs, Processes Fernando Ferreira, Benedikt Löwe, Elvira Mayordomo, Luís Mendes Gomes, 2010-06-17 This book constitutes the refereed proceedings of the 6th Conference on Computability in Europe, CiE 2010, held in Ponta Delgada, Azores, Portugal, in June/July 2010. The 28 revised papers presented together with 20 invited lectures were carefully reviewed and selected from 90 submissions. The papers address not only the more established lines of research of computational complexity and the interplay between proofs and computation, but also novel views that rely on physical and biological processes and models to find new ways of tackling computations and improving their efficiency. |
| process algebra examples: Abstract Algebra with Applications Audrey Terras, 2019 This text offers a friendly and concise introduction to abstract algebra, emphasizing its uses in the modern world. |
| process algebra examples: Lectures on Formal Methods and Performance Analysis Ed Brinksma, Holger Hermanns, Joost-Pieter Katoen, 2003-06-29 Traditionally, models and methods for the analysis of the functional correctness of reactive systems, and those for the analysis of their performance (and - pendability) aspects, have been studied by di?erent research communities. This has resulted in the development of successful, but distinct and largely unrelated modeling and analysis techniques for both domains. In many modern systems, however, the di?erence between their functional features and their performance properties has become blurred, as relevant functionalities become inextricably linked to performance aspects, e.g. isochronous data transfer for live video tra- mission. During the last decade, this trend has motivated an increased interest in c- bining insights and results from the ?eld of formal methods – traditionally - cused on functionality – with techniques for performance modeling and analysis. Prominent examples of this cross-fertilization are extensions of process algebra and Petri nets that allow for the automatic generation of performance models, the use of formal proof techniques to assess the correctness of randomized - gorithms, and extensions of model checking techniques to analyze performance requirements automatically. We believe that these developments markthe - ginning of a new paradigm for the modeling and analysis of systems in which qualitative and quantitative aspects are studied from an integrated perspective. We are convinced that the further worktowards the realization of this goal will be a growing source of inspiration and progress for both communities. |
| process algebra examples: Algebra of Communicating Processes Alban Ponse, Christiaan Verhoef, Sebastiaan F.M.van Vlijmen, 2012-12-06 ACP, the Algebra of Communicating Processes, is an algebraic approach to the study of concurrent processes, initiated by Jan Bergstra and Jan Will em Klop in the early eighties. These proceedings comprise the contributions to ACP94, the first workshop devoted to ACP. The work shop was held at Utrecht University, 16-17 May 1994. These proceedings are meant to provide an overview of current research in the area of ACP. They contain fifteen contributions. The first one is a classical paper on ACP by J.A. Bergstra and J.W. Klop: The Algebra of Recursively Defined Processes and the Algebra of Regular Processes, Report IW 235/83, Mathematical Centre, Amsterdam, 1983. It serves as an introduction to the remainder of the proceedings and, indeed, as a general introduction to ACP. An extended abstract of this paper is published under the same title in the ICALP' 84 proceedings. Of the re maining contributions, three were submitted by the invited speakers and the others were selected by the programme committee. As for the presentations, Jos Baeten, Rob van Glabbeek, Jan Friso Groote, and Frits Vaandrager were each invited to deliver a lecture. A paper relating to Frits Vaandrager's lecture has already been submitted for publication elsewhere and is not, therefore, included in these pro ceedings. Gabriel Ciobanu, one of our guests, gave an impression of his work in an extra lecture. Furthermore, ten presentations were given on the basis of selected papers. |
| process algebra examples: Lectures on the Poisson Process Günter Last, Mathew Penrose, 2017-10-26 A modern introduction to the Poisson process, with general point processes and random measures, and applications to stochastic geometry. |
| process algebra examples: Introduction to Mathematical Thinking Keith J. Devlin, 2012 Mathematical thinking is not the same as 'doing math'--unless you are a professional mathematician. For most people, 'doing math' means the application of procedures and symbolic manipulations. Mathematical thinking, in contrast, is what the name reflects, a way of thinking about things in the world that humans have developed over three thousand years. It does not have to be about mathematics at all, which means that many people can benefit from learning this powerful way of thinking, not just mathematicians and scientists.--Back cover. |
| process algebra examples: Basic Algebra Anthony W. Knapp, 2007-07-28 Basic Algebra and Advanced Algebra systematically develop concepts and tools in algebra that are vital to every mathematician, whether pure or applied, aspiring or established. Together, the two books give the reader a global view of algebra and its role in mathematics as a whole. The presentation includes blocks of problems that introduce additional topics and applications to science and engineering to guide further study. Many examples and hundreds of problems are included, along with a separate 90-page section giving hints or complete solutions for most of the problems. |
| process algebra examples: Refinement John Derrick, Eerke Boiten, 2018-09-03 Refinement is one of the cornerstones of a formal approach to software engineering. Refinement is all about turning an abstract description (of a soft or hardware system) into something closer to implementation. It provides that essential bridge between higher level requirements and an implementation of those requirements. This book provides a comprehensive introduction to refinement for the researcher or graduate student. It introduces refinement in different semantic models, and shows how refinement is defined and used within some of the major formal methods and languages in use today. It (1) introduces the reader to different ways of looking at refinement, relating refinement to observations(2) shows how these are realised in different semantic models (3) shows how different formal methods use different models of refinement, and (4) how these models of refinement are related. |
| process algebra examples: Gaussian Processes for Machine Learning Carl Edward Rasmussen, Christopher K. I. Williams, 2005-11-23 A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. A wide variety of covariance (kernel) functions are presented and their properties discussed. Model selection is discussed both from a Bayesian and a classical perspective. Many connections to other well-known techniques from machine learning and statistics are discussed, including support-vector machines, neural networks, splines, regularization networks, relevance vector machines and others. Theoretical issues including learning curves and the PAC-Bayesian framework are treated, and several approximation methods for learning with large datasets are discussed. The book contains illustrative examples and exercises, and code and datasets are available on the Web. Appendixes provide mathematical background and a discussion of Gaussian Markov processes. |
| process algebra examples: Algorithmic Algebra Bhubaneswar Mishra, 2012-12-06 Algorithmic Algebra studies some of the main algorithmic tools of computer algebra, covering such topics as Gröbner bases, characteristic sets, resultants and semialgebraic sets. The main purpose of the book is to acquaint advanced undergraduate and graduate students in computer science, engineering and mathematics with the algorithmic ideas in computer algebra so that they could do research in computational algebra or understand the algorithms underlying many popular symbolic computational systems: Mathematica, Maple or Axiom, for instance. Also, researchers in robotics, solid modeling, computational geometry and automated theorem proving community may find it useful as symbolic algebraic techniques have begun to play an important role in these areas. The book, while being self-contained, is written at an advanced level and deals with the subject at an appropriate depth. The book is accessible to computer science students with no previous algebraic training. Some mathematical readers, on the other hand, may find it interesting to see how algorithmic constructions have been used to provide fresh proofs for some classical theorems. The book also contains a large number of exercises with solutions to selected exercises, thus making it ideal as a textbook or for self-study. |
| process algebra examples: Software Reliability Methods Doron A. Peled, 2013-06-29 Many books focus on increasing the quality of software through the use of formal methods. However, most books embrace one particular method, and present it as the suggested solution for the software reliability problem. This book presents a wider picture of formal methods, through a collection of notations and techniques. It compares them, and discusses their advantages and disadvantages. One of the main challenges of formal methods is in transferring the tech nology developed by researchers to the software development community. Re cently, we seem to be starting to have a better understanding of the important ingredients of formal methods tools. This manifests itself in the growing ac ceptance of such tools in the software and hardware development industry. Ideally, formal methods need to be intuitive to use (preferably using graphi cal interfaces), do not impose on the user an extensive learning period, and incur only small overhead to the development process. Formal methods are much more acceptable today than ten or twenty years ago, in particular in the hardware industry. Yet there is still a lively contention between different approaches. |
| process algebra examples: Formal Techniques for Networked and Distributed Systems - FORTE 2005 Farn Wang, 2005-09-26 This book constitutes the refereed proceedings of the 25th IFIP WG 6.1 International Conference on Formal Techniques for Networked and Distributed Systems, FORTE 2005, held in Taipei, Taiwan, in October 2005. The 33 revised full papers and 6 short papers presented together with 3 keynote speeches were carefully reviewed and selected from 88 submissions. The papers cover all current aspects of formal methods for distributed systems and communication protocols such as formal description techniques (MSC, UML, Use cases, . . .), semantic foundations, model-checking, SAT-based techniques, process algebrae, abstractions, protocol testing, protocol verification, network synthesis, security system analysis, network robustness, embedded systems, communication protocols, and several promising new techniques. |
| process algebra examples: Scientific and Technical Aerospace Reports , 1992 |
| process algebra examples: Approximation of Population Processes Thomas G. Kurtz, 1981-01-01 Population processes are stochastic models for systems involving a number of similar particles. Examples include models for chemical reactions and for epidemics. The model may involve a finite number of attributes, or even a continuum. This monograph considers approximations that are possible when the number of particles is large. The models considered will involve a finite number of different types of particles. |
| process algebra examples: Formal Techniques for Distributed Objects, Components, and Systems Kirstin Peters, Tim A. C. Willemse, 2021-06-09 This book constitutes the refereed proceedings of the 41st IFIP WG 6.1 International Conference on Formal Techniques for Distributed Objects, Components, and Systems, FORTE 2021, held in Valletta, Malta, in June 2021, as part of the 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021. The 9 regular papers and 4 short papers presented were carefully reviewed and selected from 26 submissions. They cover topics such as: software quality, reliability, availability, and safety; security, privacy, and trust in distributed and/or communicating systems; service-oriented, ubiquitous, and cloud computing systems; component-and model-based design; object technology, modularity, and software adaptation; self-stabilisation and self-healing/organising; and verification, validation, formal analysis, and testing of the above. Due to the Corona pandemic this event was held virtually. |
| process algebra examples: The Common Component Modeling Example Andreas Rausch, Ralf H. Reussner, Raffaela Mirandola, Frantisek Plasil, 2008-08-15 Based on the 2007 Dagstuhl Research Seminar CoCoME, this book defines a common example for modeling approaches of component-based systems. The book makes it possible to compare different approaches and to validate existing models. |
| process algebra examples: Information Systems: Modeling, Development, and Integration Jianhua Yang, Athula Ginige, Heinrich C. Mayr, Ralf-D. Kutsche, 2009-04-17 UNISCON 2009 (United Information Systems Conference) was the third conf- ence in the series that is based on the idea to pool smaller but highly interesting scienti?c events on information systems into one large conference. Here, people from di?erent scienti?c backgrounds can present their research results, share their ideas and discuss future trends in these various areas. UNISCON 2009 was held in Sydney, Australia in the University of Western Sydney, Campbelltown Campus. In 2009 the following scienti?c events were held under the umbrella of UNISCON 2009: th – 8 International Conference on Information Systems Technology and Its Applications (ISTA 2009) th – 8 International Workshop on Conceptual Modelling Approaches for e- Business (eCOMO 2009) – Second Workshop on Model-Based Software and Data Integration (MBSDI 2009) We received 115 papers for the three events. Papers were submitted from over 25 countries. After a rigorous review process, 39 papers were accepted as full papers and 14 papers as short papers for presentation at the conference and published in these proceedings. In addition to the above three events, we also organized a Doctoral Cons- tium to provide a forum for doctoral students to get feedback from experts in the area about their research projects. |
| process algebra examples: Theoretical Aspects of Computing - ICTAC 2005 Dang Van Hung, 2005-10-04 This book constitutes the refereed proceedings of the Second International Colloquium on Theoretical Aspects of Computing, ICTAC 2005 held in Hanoi, Vietnam, in October 2005. The 35 revised full papers presented together with 5 invited talks and a summary of 5 tutorials were carefully reviewed and selected from 122 submissions. The papers are organized in topical sections on formal languages, computer science logics, program construction, real-time systems, concurrency and refinement, software security, quantitative logics, object-orientation and component systems, model-checking and algorithms, and applied logics and computing theory. |
| process algebra examples: Formal Modeling and Analysis of Timed Systems Kim G. Larsen, Peter Niebert, 2004-05-12 This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Formal Modeling and Analysis of Timed Systems, FORMATS 2003, held in Marseille, France in September 2003. The 19 revised full papers presented together with an invited paper and the abstracts of two invited talks were carefully selected from 36 submissions during two rounds of reviewing and improvement. All current aspects of formal method for modeling and analyzing timed systems are addressed; among the timed systems dealt with are timed automata, timed Petri nets, max-plus algebras, real-time systems, discrete time systems, timed languages, and real-time operating systems. |
| process algebra examples: An Algebraic Specification of Process Algebra, Including Two Examples S. Mauw, 1987 |
| process algebra examples: Head First Algebra Tracey Pilone, Dan Pilone, 2008-12-26 Having trouble understanding algebra? Do algebraic concepts, equations, and logic just make your head spin? We have great news: Head First Algebra is designed for you. Full of engaging stories and practical, real-world explanations, this book will help you learn everything from natural numbers and exponents to solving systems of equations and graphing polynomials. Along the way, you'll go beyond solving hundreds of repetitive problems, and actually use what you learn to make real-life decisions. Does it make sense to buy two years of insurance on a car that depreciates as soon as you drive it off the lot? Can you really afford an XBox 360 and a new iPhone? Learn how to put algebra to work for you, and nail your class exams along the way. Your time is way too valuable to waste struggling with new concepts. Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Algebra uses a visually rich format specifically designed to take advantage of the way your brain really works. |
| process algebra examples: Formal Methods for the Design of Real-Time Systems Marco Bernardo, Flavio Corradini, 2004-12-07 A large class of computing systems can be specified and verified by abstracting away from the temporal aspects of their behavior. In real-time systems,instead, time issues become essential. Their correctness depends not only on which functions they can perform, but also on the action execution time. Due to their importance and design challenges, real-time systems have attracted the attention of a considerable number of computer scientists and engineers from various research areas. This volume collects a set of papers accompanying the lectures of the fourth edition of the International School on Formal Methods for the Design of Computer, Communication and Software Systems (SFM). The school addressed the use of formal methods in computer science as a prominent approach to the r- orous design of computer, communication and software systems. The main aim of the SFM series is to o?er a good spectrum of current research in foundations as well as applications of formal methods, which can be of help for graduate students and young researchers who intend to approach the field. SFM-04:RT was devoted to real-time systems. It covered formal models and languages for the specification,modeling,analysis,and verification of the seti- critical systems, the expressiveness of such models and languages, as well as supporting tools and related applications in different domains. |
PROCESS Definition & Meaning - Merriam-Webster
The meaning of PROCESS is progress, advance. How to use process in a sentence.
PROCESS | English meaning - Cambridge Dictionary
PROCESS definition: 1. a series of actions that you take in order to achieve a result: 2. a series of changes that…. Learn more.
Process - Wikipedia
A process is a series or set of activities that interact to produce a result; it may occur once-only or be recurrent or periodic. Things called a process include: Manufacturing process …
Process - definition of process by The Free Dictionary
A series of actions, changes, or functions bringing about a result: the process of digestion; the process of obtaining a driver's license. 2. A series of operations performed in the making or …
PROCESS Definition & Meaning | Dictionary.com
A process is a series of progressive and interdependent steps by which an end is attained: a chemical process. Procedure usually implies a formal or set order of doing a thing, a method of …
What does process mean? - Definitions.net
What does process mean? This dictionary definitions page includes all the possible meanings, example usage and translations of the word process. To walk in a procession. Etymology: …
process
Definition of process 1 noun from the Oxford Advanced Learner's Dictionary. a series of things that are done in order to achieve a particular result. Each time we have to go through the whole …
Process Definition & Meaning - YourDictionary
Process definition: A series of actions, changes, or functions bringing about a result.
PROCESS - Meaning & Translations | Collins English Dictionary
Master the word "PROCESS" in English: definitions, translations, synonyms, pronunciations, examples, and grammar insights - all in one complete resource.
Process - Definition, Meaning & Synonyms - Vocabulary.com
A process is a procedure, something you do in order to achieve a certain result. Some people try to carefully follow all the steps in a process. Other people just wing it.
PROCESS Definition & Meaning - Merriam-Webster
The meaning of PROCESS is progress, advance. How to use process in a sentence.
PROCESS | English meaning - Cambridge Dictionary
PROCESS definition: 1. a series of actions that you take in order to achieve a result: 2. a series of changes that…. Learn more.
Process - Wikipedia
A process is a series or set of activities that interact to produce a result; it may occur once-only or be recurrent or periodic. Things called a process include: Manufacturing process …
Process - definition of process by The Free Dictionary
A series of actions, changes, or functions bringing about a result: the process of digestion; the process of obtaining a driver's license. 2. A series of operations performed in the making or …
PROCESS Definition & Meaning | Dictionary.com
A process is a series of progressive and interdependent steps by which an end is attained: a chemical process. Procedure usually implies a formal or set order of doing a thing, a method …
What does process mean? - Definitions.net
What does process mean? This dictionary definitions page includes all the possible meanings, example usage and translations of the word process. To walk in a procession. Etymology: …
process
Definition of process 1 noun from the Oxford Advanced Learner's Dictionary. a series of things that are done in order to achieve a particular result. Each time we have to go through the …
Process Definition & Meaning - YourDictionary
Process definition: A series of actions, changes, or functions bringing about a result.
PROCESS - Meaning & Translations | Collins English Dictionary
Master the word "PROCESS" in English: definitions, translations, synonyms, pronunciations, examples, and grammar insights - all in one complete resource.
Process - Definition, Meaning & Synonyms - Vocabulary.com
A process is a procedure, something you do in order to achieve a certain result. Some people try to carefully follow all the steps in a process. Other people just wing it.
