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Probabilistic Methods for Algorithmic Discrete Mathematics (Paperback, Softcover reprint of hardcover 1st ed. 1998)
Loot Price: R2,804
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Probabilistic Methods for Algorithmic Discrete Mathematics (Paperback, Softcover reprint of hardcover 1st ed. 1998)
Series: Algorithms and Combinatorics, 16
Expected to ship within 10 - 15 working days
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Leave nothing to chance. This cliche embodies the common belief
that ran domness has no place in carefully planned methodologies,
every step should be spelled out, each i dotted and each t crossed.
In discrete mathematics at least, nothing could be further from the
truth. Introducing random choices into algorithms can improve their
performance. The application of proba bilistic tools has led to the
resolution of combinatorial problems which had resisted attack for
decades. The chapters in this volume explore and celebrate this
fact. Our intention was to bring together, for the first time,
accessible discus sions of the disparate ways in which
probabilistic ideas are enriching discrete mathematics. These
discussions are aimed at mathematicians with a good combinatorial
background but require only a passing acquaintance with the basic
definitions in probability (e.g. expected value, conditional
probability). A reader who already has a firm grasp on the area
will be interested in the original research, novel syntheses, and
discussions of ongoing developments scattered throughout the book.
Some of the most convincing demonstrations of the power of these
tech niques are randomized algorithms for estimating quantities
which are hard to compute exactly. One example is the randomized
algorithm of Dyer, Frieze and Kannan for estimating the volume of a
polyhedron. To illustrate these techniques, we consider a simple
related problem. Suppose S is some region of the unit square
defined by a system of polynomial inequalities: Pi (x. y) ~ o.
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