Linear Parameter-Varying System Identification: New Developments And Trends, Lopes Dos Santos Paulo Et Al

Автор: Niedermeier, Rolf
Название: Invitation to fixed-parameter algorithms
ISBN: 0198566077 ISBN-13(EAN): 9780198566076
Издательство: Oxford Academ
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Цена: 21780.00 р.
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Описание: An application-oriented introduction to the highly topical area of the development and analysis of efficient fixed-parameter algorithms for hard problems. Aimed at graduate and research mathematicians, algorithm designers, and computer scientists, it provides a fresh view on this highly innovative field of algorithmic research.

Автор: Avril
Название: Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics
ISBN: 3319450700 ISBN-13(EAN): 9783319450704
Издательство: Springer
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Цена: 16769.00 р.
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Описание: people performing tests on soft tissues will learn what to extract from the data and how to use these data for their models and people worried about the complexity of the biomechanical behavior of soft tissues will find relevant approaches to address this complexity.

Автор: Wesam Ashour Barbakh; Ying Wu; Colin Fyfe
Название: Non-Standard Parameter Adaptation for Exploratory Data Analysis
ISBN: 3642040047 ISBN-13(EAN): 9783642040047
Издательство: Springer
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Цена: 20962.00 р.
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Описание: A review of standard algorithms provides the basis for more complex data mining techniques in this overview of exploratory data analysis. Recent reinforcement learning research is presented, as well as novel methods of parameter adaptation in machine learning.

Автор: Abdon Atangana
Название: Derivative with a New Parameter
ISBN: 0081006446 ISBN-13(EAN): 9780081006443
Издательство: Elsevier Science
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Цена: 8757.00 р.
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Описание: Derivative with a New Parameter: Theory, Methods and Applications discusses the first application of the local derivative that was done by Newton for general physics, and later for other areas of the sciences. . The book starts off by giving a history of derivatives, from Newton to Caputo. It then goes on to introduce the new parameters for the local derivative, including its definition and properties. Additional topics define beta-Laplace transforms, beta-Sumudu transforms, and beta-Fourier transforms, including their properties, and then go on to describe the method for partial differential with the beta derivatives. . Subsequent sections give examples on how local derivatives with a new parameter can be used to model different applications, such as groundwater flow and different diseases. The book gives an introduction to the newly-established local derivative with new parameters, along with their integral transforms and applications, also including great examples on how it can be used in epidemiology and groundwater studies.