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Books > Computing & IT > Computer communications & networking
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Algorithmics for Hard Problems - Introduction to Combinatorial Optimization, Randomization, Approximation, and Heuristics (Paperback, Softcover reprint of hardcover 2nd ed. 2003)
Loot Price: R1,966
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Algorithmics for Hard Problems - Introduction to Combinatorial Optimization, Randomization, Approximation, and Heuristics (Paperback, Softcover reprint of hardcover 2nd ed. 2003)
Series: Texts in Theoretical Computer Science. An EATCS Series
Expected to ship within 10 - 15 working days
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Algorithmic design, especially for hard problems, is more essential
for success in solving them than any standard improvement of
current computer tech nologies. Because of this, the design of
algorithms for solving hard problems is the core of current
algorithmic research from the theoretical point of view as well as
from the practical point of view. There are many general text books
on algorithmics, and several specialized books devoted to
particular approaches such as local search, randomization,
approximation algorithms, or heuristics. But there is no textbook
that focuses on the design of algorithms for hard computing tasks,
and that systematically explains, combines, and compares the main
possibilities for attacking hard algorithmic problems. As this
topic is fundamental for computer science, this book tries to close
this gap. Another motivation, and probably the main reason for
writing this book, is connected to education. The considered area
has developed very dynami cally in recent years and the research on
this topic discovered several profound results, new concepts, and
new methods. Some of the achieved contributions are so fundamental
that one can speak about paradigms which should be in cluded in the
education of every computer science student. Unfortunately, this is
very far from reality. This is because these paradigms are not
sufficiently known in the computer science community, and so they
are insufficiently com municated to students and practitioners."
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