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Algorithmics of Nonuniformity

  • Livre Relié
  • 590 Nombre de pages
Micha Hofri is a professor of computer science, and former department head at Worcester Polytechnic Institute. He holds a Ph.D. of... Lire la suite
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Description

Auteur

Micha Hofri is a professor of computer science, and former department head at Worcester Polytechnic Institute. He holds a Ph.D. of industrial engineering (1972), all from the Technion-Israel Institute of Technology. He has 39 publications in Mathematics.

Hosam Mahmoud is a professor at the Department of Statistics at George Washington University in Washington D.C., where he is the former chair. He holds a Ph.D. in computer science from Ohio State University. He is on the editorial board of five academic journals.



Résumé

Algorithmics of Nonuniformity is a solid presentation about the analysis of algorithms, and the data structures that support them.

Traditionally, algorithmics have been approached either via a probabilistic view or an analytic approach. The authors adopt both approaches and bring them together and benefit from the advantage of each approach.

The text examines algorithms that are designed to handle general datasort any array, find the median of any numerical set, and identify patterns in any setting. At the same time, it evaluates "average" performance, "typical" behavior, or in mathematical terms, the expectations of the random variables that describe their operations.

 



Contenu

1 Algorithmics 2 Counting: Tools and Strategies 3 Symbolic Calculus 4 Languages and Their Generating Functions 5 Probability in Algorithmics 6 Data Models 7 Sorting Nonuniform Data 8 Nonuniform Pólya Urn Schemes 9 Nonuniform trees

Détails sur le produit

Titre: Algorithmics of Nonuniformity
Sous-titre: Tools and Paradigms
Auteur:
Code EAN: 9781498750714
ISBN: 978-1-4987-5071-4
Format: Livre Relié
Editeur: Taylor and Francis
Genre: Mathématique
nombre de pages: 590
Poids: g
Taille: H235mm x B156mm
Année: 2018