Logo

Petri Nets: Manufacturing and Computer Science

Small book cover: Petri Nets: Manufacturing and Computer Science

Petri Nets: Manufacturing and Computer Science
by

Publisher: InTech
ISBN-13: 9789535107002
Number of pages: 492

Description:
The present monograph focuses on Petri Nets applications in two main areas: manufacturing and computer science. The theory of Petri Nets is still developing: some directions of investigations are presented in this volume.

Home page url

Download or read it online for free here:
Download link
(8.8MB, PDF)

Similar books

Book cover: Distributed Systems for Fun and ProfitDistributed Systems for Fun and Profit
by - mixu.net
This text provides a more accessible introduction to distributed systems. The book brings together the ideas behind many of the more recent distributed systems - such as Amazon's Dynamo, Google's BigTable and MapReduce, Apache's Hadoop and so on.
(2463 views)
Book cover: How to Write Parallel Programs: A First CourseHow to Write Parallel Programs: A First Course
by - MIT Press
In the near future every programmer will need to understand parallelism, a powerful way to run programs fast. The authors of this straightforward tutorial provide the instruction that will transform ordinary programmers into parallel programmers.
(4036 views)
Book cover: Parallel Computing: Architectures, Algorithms and ApplicationsParallel Computing: Architectures, Algorithms and Applications
by - John von Neumann Institute for Computing
The book gives an overview of the developments, applications and future trends in high performance computing for all platforms. It addresses all aspects of parallel computing, including applications, hardware and software technologies.
(4905 views)
Book cover: BIG CPU, BIG DATA: Solving the World's Toughest Problems with Parallel ComputingBIG CPU, BIG DATA: Solving the World's Toughest Problems with Parallel Computing
by - Rochester Institute of Technology
With the book BIG CPU, BIG DATA, my goal is to teach you how to write parallel programs that take full advantage of the vast processing power of modern multicore computers, compute clusters, and graphics processing unit (GPU) accelerators.
(1077 views)