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Handbook of Massive Data Sets

Posted By: AvaxGenius
Handbook of Massive Data Sets

Handbook of Massive Data Sets by James Abello
English | PDF | 2002 | 1209 Pages | ISBN : 1402004893 | 132.2 MB

The proliferation of massive data sets brings with it a series of special computational challenges. This "data avalanche" arises in a wide range of scientific and commercial applications. With advances in computer and information technologies, many of these challenges are beginning to be addressed by diverse inter-disciplinary groups, that indude computer scientists, mathematicians, statisticians and engineers, working in dose cooperation with application domain experts. High profile applications indude astrophysics, bio-technology, demographics, finance, geographi­ cal information systems, government, medicine, telecommunications, the environment and the internet. John R. Tucker of the Board on Mathe­ matical Seiences has stated: "My interest in this problern (Massive Data Sets) isthat I see it as the rnost irnportant cross-cutting problern for the rnathernatical sciences in practical problern solving for the next decade, because it is so pervasive.

Reverse Engineering

Posted By: AvaxGenius
Reverse Engineering

Reverse Engineering by Linda Wills
English | PDF | 1996 | 183 Pages | ISBN : 0792397568 | 11.2 MB

Reverse Engineering brings together in one place important contributions and up-to-date research results in this important area.
Reverse Engineering serves as an excellent reference, providing insight into some of the most important issues in the field.

Bioinformatics: Problem Solving Paradigms

Posted By: AvaxGenius
Bioinformatics: Problem Solving Paradigms

Bioinformatics: Problem Solving Paradigms by Volker Sperschneider
English | PDF(True) | 2009 | 302 Pages | ISBN : 3540785051 | 4 MB

There are fundamental principles for problem analysis and algorithm design that are continuously used in bioinformatics. This book concentrates on a clear presentation of these principles, presenting them in a self-contained, mathematically clear and precise manner, and illustrating them with lots of case studies from main fields of bioinformatics (e.g. sequencing and mapping, string storage and manipulation, pattern matching, alignment, gene identification, genome rearrangement, structure prediction, regulatory networks, pseudoknot detection).