Introduction distributed algorithms von barbosa valmir (6 Ergebnisse)

Zustand: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Paperback. Zustand: Good. Good - Bumped and creased book with tears to the extremities, but not affecting the text block, may have remainder mark or previous owner's name - GOOD PAPERBACK Standard-sized.

Hardcover. Zustand: Fine. 1st Edition. 366p, a Fine hardback with pictorial paper-covered boards so no dust-jacket called for [0262024128].

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Zustand: as new. Cambridge, MA: The MIT Press, 1996. Hardcover. 392 pp.- An Introduction to Distributed Algorithms takes up some of the main concepts and algorithms, ranging from basic to advanced techniques and applications, that underlie the programming of distributed-memory systems such as computer networks, networks of workstations, and multiprocessors. Written from the broad perspective of distributed-memory systems in general it includes topics such as algorithms for maximum flow, program debugging, and simulation that do not appear in more orthodox texts on distributed algorithms. Moving from fundamentals to advances and applications, ten chapters--with exercises and bibliographic notes--cover a variety of topics. These include models of distributed computation, information propagation, leader election, distributed snapshots, network synchronization, self- stability, termination detection, deadlock detection, graph algorithms, mutual exclusion, program debugging, and simulation. English text. Condition : as new. Condition : as new copy. ISBN 9780262024129. Keywords : , Electronic data processing.…

Paperback. Zustand: Brand New. 376 pages. 8.75x5.75x1.00 inches. In Stock.