Computational Methods in Power System Analysis, Reijer Idema; Domenico J.P. Lahaye

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.

Автор: Borwein Peter
Название: Computational Excursions in Analysis and Number Theory
ISBN: 0387954449 ISBN-13(EAN): 9780387954448
Издательство: Springer
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Описание: This introduction to computational number theory is centered on a number of problems that live at the interface of analytic, computational and Diophantine number theory, and provides a diverse collection of techniques for solving number- theoretic problems. There are many exercises and open research problems included.

Автор: S.A. Soman; S.A. Khaparde; Shubha Pandit
Название: Computational Methods for Large Sparse Power Systems Analysis
ISBN: 1461352568 ISBN-13(EAN): 9781461352563
Издательство: Springer
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Описание: Computational methods in Power Systems require significant inputs from diverse disciplines, such as data base structures, numerical analysis etc. Computational Methods for Large Sparse Power Systems Analysis: An Object Oriented Approach provides a unified object oriented (OO) treatment for power system analysis.

Автор: Tsai Jeffrey J P & Ng Ka-Lok
Название: Computational Methods With Applications In Bioinformatics Analysis
ISBN: 9813207973 ISBN-13(EAN): 9789813207974
Издательство: World Scientific Publishing
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Описание:

This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms.

The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics.

The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.

Название: Advances in Computational Algorithms and Data Analysis
ISBN: 140208918X ISBN-13(EAN): 9781402089183
Издательство: Springer
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Описание: Advances in Computational Algorithms and Data Analysis offers state of the art tremendous advances in computational algorithms and data analysis. The volume serves as an excellent reference work for researchers and graduate students working on computational algorithms and data analysis.

Название: Advances in Computational Algorithms and Data Analysis
ISBN: 9048180279 ISBN-13(EAN): 9789048180271
Издательство: Springer
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Описание: This text is a compendium of revised and extended articles written for the international conference on Advances in Computational Algorithms and Data Analysis. It presents state-of-the-art advances in the field through discussion of various topics.

Автор: Cooper, George R.; McGillem, Clare D.
Название: Probabilistic Methods of Signal and System Analysis
ISBN: 0195123549 ISBN-13(EAN): 9780195123548
Издательство: Oxford Academ
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Описание: Originally published in 1971, this text is intended for signals and systems courses which emphasize probability. It provides an introduction to probability theory, statistics, random processes and the analysis of systems with random inputs. This edition has been updated and uses Matlab.