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A computational perspective on partial order and lattice theory, focusing on algorithms and their applications
This book provides a uniform treatment of the theory and applications of lattice theory. The applications covered include tracking dependency in distributed systems, combinatorics, detecting global predicates in distributed systems, set families, and integer partitions. The book presents algorithmic proofs of theorems whenever possible. These proofs are written in the calculational style advocated by Dijkstra, with arguments explicitly spelled out step by step. The author’s intent is for readers to learn not only the proofs, but the heuristics that guide said proofs.
Introduction to Lattice Theory with Computer Science Applications:
- Examines; posets, Dilworth’s theorem, merging algorithms, lattices, lattice completion, morphisms, modular and distributive lattices, slicing, interval orders, tractable posets, lattice enumeration algorithms, and dimension theory
- Provides end of chapter exercises to help readers retain newfound knowledge on each subject
- Includes supplementary material at www.ece.utexas.edu/~garg
Introduction to Lattice Theory with Computer Science Applications is written for students of computer science, as well as practicing mathematicians.
- Sales Rank: #2994675 in Books
- Published on: 2015-05-26
- Original language: English
- Number of items: 1
- Dimensions: 9.60" h x .80" w x 6.40" l, .0 pounds
- Binding: Hardcover
- 272 pages
From the Back Cover
A computational perspective on partial order and lattice theory, focusing on algorithms and their applications
This book provides a uniform treatment of the theory and applications of lattice theory. The applications covered include tracking dependency in distributed systems, combinatorics, detecting global predicates in distributed systems, set families, and integer partitions. The book presents algorithmic proofs of theorems whenever possible. These proofs are written in the calculational style advocated by Dijkstra, with arguments explicitly spelled out step by step. The author’s intent is for readers to learn not only the proofs, but also the heuristics that guide these proofs.
Introduction to Lattice Theory with Computer Science Applications:
- Examines posets, Dilworth's theorem, merging algorithms, lattices, lattice completion, morphisms, modular and distributive lattices, slicing, interval orders, tractable posets, lattice enumeration algorithms, and dimension theory
- Provides end of chapter exercises to help readers retain newfound knowledge on each subject
- Includes supplementary material at www.ece.utexas.edu/~garg
Introduction to Lattice Theory with Computer Science Applications is written for students of computer science, as well as for practicing mathematicians.
About the Author
Vijay K. Garg, PhD, is a Cullen Trust Endowed professor at the University of Texas at Austin. His research focuses on applications of lattice theory to distributed computing. He has worked in the areas of distributed systems and discrete event systems for the past thirty years. Dr. Garg is the author of Elements of Distributed Computing (Wiley, 2002), Concurrent and Distributed Computing in Java (Wiley, 2004) and Modeling and Control of Logical Discrete Event Systems (co-authored with Ratnesh Kumar).
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