Introduction to lattice theory with computer science applications /

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, detectin...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Garg, Vijay K. (Vijay Kumar), 1963-
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Hoboken, New Jersey : Wiley, [2015]
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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049 |a MAIN 
100 1 |a Garg, Vijay K.  |q (Vijay Kumar),  |d 1963- 
245 1 0 |a Introduction to lattice theory with computer science applications /  |c Vijay K. Garg. 
264 1 |a Hoboken, New Jersey :  |b Wiley,  |c [2015] 
300 |a 1 online resource. 
336 |a text  |2 rdacontent 
337 |a computer  |2 rdamedia 
338 |a online resource  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
588 |a Description based on print version record and CIP data provided by publisher. 
520 |a 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. 
650 0 |a Computer science  |x Mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Lattice theory. 
650 7 |a Computer science  |x Mathematics.  |2 fast  |0 (OCoLC)fst00872460 
650 7 |a Engineering mathematics.  |2 fast  |0 (OCoLC)fst00910601 
650 7 |a Lattice theory.  |2 fast  |0 (OCoLC)fst00993426 
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650 7 |a COMPUTERS / Computer Science  |2 bisacsh 
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650 7 |a COMPUTERS / Machine Theory  |2 bisacsh 
650 7 |a COMPUTERS / Reference  |2 bisacsh 
655 4 |a Electronic books. 
776 0 8 |i Print version:  |a Garg, Vijay K. (Vijay Kumar), 1963-  |t Introduction to lattice theory with computer science applications  |d Hoboken, New Jersey : John Wiley & Sons, Inc., [2015]  |z 9781118914373  |w (DLC) 2015003602 
856 4 0 |u https://doi.org/10.1002/9781119069706  |z Full Text via HEAL-Link 
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