Perturbation Methods In Fluid Mechanics

Perturbation Methods In Fluid Mechanics - Milton D. Van Dyke
Parabolic Pr (1975)

Fluid dynamics, Perturbation (Mathematics)
Techniques for treating regular and singular perturbations are illustrated by application to problems of fluid motion. In particular, the method of matched asymptotic expansions is applied to the aerodynamics of airfoils and wings, and to viscous flow at high and low Reynolds numbers. Other topics include the methods of strained coordinates and of multiple scales, and the improvement of series.


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Intermediate Fluid Mechanics - Robert H. Nunn

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Data Integration In The Life Sciences

Data Integration In The Life Sciences

Bioinformatics - Congresses, Statistical matching - Congresses
This book constitutes the refereed proceedings of the Third International Workshop on Data Integration in the Life Sciences, DILS 2006, held in Hinxton, UK in July 2006. The 19 revised full papers and 4 revised short papers presented together with 2 keynote talks were carefully reviewed and selected from 50 initial submissions. All current issues in data integration from the life science point of view are addressed. The papers are organized in topical sections on data integration, text mining, systems, potpourri, short papers, and work flow.

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Foundations Of Data Mining And Knowledge Discovery

Foundations Of Data Mining And Knowledge Discovery (Studies In Computational Intelligence) - Lin, Tsau Y

"Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research. Data mining, which integrates various technologies, including computational intelligence, database and knowledge management, machine learning, soft computing, and statistics, is one of the fastest growing fields in computer science. Although many data mining techniques have been developed, further development of the field requires a close examination of its foundations. This volume presents the results of investigations into the foundations of the discipline, and represents the state of the art for much of the current research. This book will prove extremely valuable and fruitful for data mining researchers, no matter whether they would like to uncover the fundamental principles behind data mining, or apply the theories to practical applications.



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Value-Based Software Engineering

Value-Based Software Engineering - Biffl, Stefan


The IT community has always struggled with questions concerning the value of an organization’s investment in software and hardware. It is the goal of value-based software engineering (VBSE) to develop models and measures of value which are of use for managers, developers and users as they make tradeoff decisions between, for example, quality and cost or functionality and schedule – such decisions must be economically feasible and comprehensible to the stakeholders with differing value perspectives. VBSE has its roots in work on software engineering economics, pioneered by Barry Boehm in the early 1980s. However, the emergence of a wider scope that defines VBSE is more recent. VBSE extends the merely technical ISO software engineering definition with elements not only from economics, but also from cognitive science, finance, management science, behavioural sciences, and decision sciences, giving rise to a truly multi-disciplinary framework.

Biffl and his co-editors invited leading researchers and structured their contributions into three parts, following an introduction into the area by Boehm himself. They first detail the foundations of VBSE, followed by a presentation of state-of-the-art methods and techniques. The third part demonstrates the benefits of VBSE through concrete examples and case studies.

This book deviates from the more anecdotal style of many management-oriented software engineering books and so appeals particularly to all readers who are interested in solid foundations for high-level aspects of software engineering decision making, i.e. to product or project managers driven by economics and to software engineering researchers and students.

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