Models and Algorithms for Genome Evolution, Cedric Chauve; Nadia El-Mabrouk; Eric Tannier
Автор: Sung Название: Algorithms in Bioinformatics ISBN: 1420070339 ISBN-13(EAN): 9781420070330 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents an introduction to the algorithmic techniques applied in bioinformatics. For each topic, this title details the biological motivation, defines the corresponding computational problems, and includes examples to illustrate each algorithm.
Автор: Nancy A. Lynch Название: Distributed Algorithms, ISBN: 1558603484 ISBN-13(EAN): 9781558603486 Издательство: Elsevier Science Рейтинг: Цена: 20549.00 р. Наличие на складе: Поставка под заказ.
Описание: A guide to designing, implementing and analyzing distributed algorithms. It covers problems including resource allocation, communication, consensus among distributed processes, data consistency, deadlock detection, leader election and global snapshots.
Описание: A persistent problem when finding communities in large complex networks is the so-called resolution limit. In addition to these theoretical contributions, the thesis also contains an empirical analysis of the effect of trading communities on international conflict, and how communities form in a citation network with positive and negative links.
Автор: Wai-Ki Ching; Michael K. Ng Название: Markov Chains: Models, Algorithms and Applications ISBN: 1441939865 ISBN-13(EAN): 9781441939869 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
MARKOV CHAINS: Models, Algorithms and Applications outlines recent developments of Markov chain models for modeling queueing sequences, Internet, re-manufacturing systems, reverse logistics, inventory systems, bio-informatics, DNA sequences, genetic networks, data mining, and many other practical systems.
The book consists of eight chapters. Chapter 1 is a brief introduction to the classical theory on both discrete and continuous time Markov chains. The relationship between Markov chains of finite states and matrix theory is also discussed. Chapter 2 discusses the applications of continuous time Markov chains to model queueing systems and discrete time Markov chains for computing. Chapter 3 studies re-manufacturing systems and presents Markovian models for reverse manufacturing applications. In Chapter 4, Hidden Markov models are applied to classify customers. Chapter 5 discusses the Markov decision process for customer lifetime values. Customer Lifetime Values (CLV) is an important concept and quantity in marketing management. Chapter 6 covers higher-order Markov chain models. Multivariate Markov models are discussed in Chapter 7. It presents a class of multivariate Markov chain models with a lower order of model parameters. Chapter 8 studies higher-order hidden Markov models. It proposes a class of higher-order hidden Markov models with an efficient algorithm for solving the model parameters.
This book is aimed at students, professionals, practitioners, and researchers in applied mathematics, scientific computing, and operational research, who are interested in the formulation and computation of queueing and manufacturing systems.
Автор: Philip S. Yu; Jiawei Han; Christos Faloutsos Название: Link Mining: Models, Algorithms, and Applications ISBN: 1493901478 ISBN-13(EAN): 9781493901470 Издательство: Springer Рейтинг: Цена: 28732.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers detailed surveys and systematic discussion of models, algorithms and applications for link mining, focusing on theory and technique, and related applications: text mining, social network analysis, collaborative filtering and bioinformatics.
Автор: T. Ryan Gregory Название: The Evolution of the Genome, ISBN: 0123014638 ISBN-13(EAN): 9780123014634 Издательство: Elsevier Science Рейтинг: Цена: 11959.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides an overview of genomic study through discussions of the key areas in genome biology. This title includes chapters that also provide historical and conceptual background information, and highlight the ways in which the critical questions are actually being studied. It is useful for graduate students, postdoctoral fellows, and scientists.
Автор: Cedric Chauve; Nadia El-Mabrouk; Eric Tannier Название: Models and Algorithms for Genome Evolution ISBN: 1447152972 ISBN-13(EAN): 9781447152972 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Gathering contributions from computer scientists, mathematicians and biologists, this book examines current developments, discusses future directions and goals and presents coherent tools for unraveling the intricacies of complex biological datasets.
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