Entropy, Search, Complexity

Entropy, Search, Complexity

The present volume is a collection of survey papers in the fields of entropy, search and complexity. They summarize the latest developments in their respective areas. More than half of the papers belong to search theory which lies on the borderline of mathematics and computer science, information th...

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Détails bibliographiques
Auteur principal : Csiszár Imre (Directeur de publication)
Format : Livre
Langue : anglais
Titre complet : Entropy, Search, Complexity / Imre Csiszár, Gyula O. H. Katona, Gábor Tardos (Eds)
Publié : Berlin, Heidelberg : Springer Berlin Heidelberg , [20..]
Cham : Springer Nature
Collection : Bolyai Society mathematical studies (Online) ; 16
Accès en ligne : Accès Nantes Université
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Sujets :
Information, Théorie de l'
Marches aléatoires (mathématiques)
Entropie (théorie de l'information)
Recherche, Théorie de la
Mathematics
Statistics for Business/Economics/Mathematical Finance/Insurance
Combinatorics
Algorithm Analysis and Problem Complexity
Computational Biology/Bioinformatics
Statistics for Business, Management, Economics, Finance, Insurance.
Coding and Information Theory
Topology
Algorithms
Discrete Mathematics
Computational and Systems Biology
Statistics in Business, Management, Economics, Finance, Insurance
Documents associés : Autre format: Entropy, Search, Complexity
Autre format: Entropy, Search, Complexity
Autre format: Entropy, Search, Complexity
Description
Résumé : The present volume is a collection of survey papers in the fields of entropy, search and complexity. They summarize the latest developments in their respective areas. More than half of the papers belong to search theory which lies on the borderline of mathematics and computer science, information theory and combinatorics, respectively. Search theory has variegated applications, among others in bioinformatics. Some of these papers also have links to linear statistics and communicational complexity. Further works survey the fundamentals of information theory and quantum source coding. The volume is recommended to experienced researchers as well as young scientists and students both in mathematics and computer science.
ISBN : 978-3-540-32777-6
DOI : 10.1007/978-3-540-32777-6