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Arbres pour l'Algorithmique (French, Paperback, 1ere ed. 2018)
Loot Price: R1,762
Discovery Miles 17 620
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Arbres pour l'Algorithmique (French, Paperback, 1ere ed. 2018)
Series: Mathematiques et Applications, 83
Expected to ship within 10 - 15 working days
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Total price: R1,782
Discovery Miles: 17 820
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Cet ouvrage presente les types d'arbres les plus utilises en
informatique, sous les angles algorithmique et mathematique. Pour
chaque type, nous donnons les algorithmes courants associes et des
exemples d'utilisation, directe ou en modelisation, puis nous
etudions leurs performances d'un point de vue mathematique. Nos
outils sont les mathematiques discretes, les probabilites et la
combinatoire analytique, presentes ici simultanement.Le public vise
est d'abord celui des etudiants de niveau master scientifique ou en
derniere annee d'ecole d'ingenieurs avec un cursus prealable en
informatique ou en mathematiques, ou ceux visant une double
competence en mathematiques et informatique ; ainsi que toute
personne dotee d'un bagage scientifique " minimal " et amenee a
utiliser des structures arborescentes liees a des algorithmes, qui
souhaiterait avoir une meilleure connaissance de ces structures et
une idee des performances des algorithmes associes sans se plonger
dans les travaux originaux. This book presents a wide range of tree
structures, from both a computer science and a mathematical point
of view. For each of these structures we give the algorithms that
allow us to visit or update the structure, and discuss their
potential uses, either directly (for storing data) or in modelling
a variety of situations. We present a mathematical approach to
their performances; this is done by the systematic and parallel use
of tools from discrete mathematics, probability and analytic
combinatorics.The book is intended for graduate students in
mathematics or computer science (or both) and in engineering
schools. It is also suitable for anyone with a basic level of
scientific knowledge who may have to use tree structures and
related algorithms, and who wishes to get a rigorous knowledge of
their performance without going back to the original, often
specialized, results.
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