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Optimization is an extremely important area in science and technology which provides
powerful and useful tools and techniques for the formulation and solution of
a multitude of problems in which we wish, or need, to find a best possible option
or solution. It has been an important area of research for more than half a century,
and particularly since the advent of digital computers. Over those years great progress
has been attained in the area with the development of powerful theoretical
and algorithmic results. A multitude of academic and commercial software packages
have been developed which have made it possible to solve virtually all kinds
of optimization problems. Applications of optimization tools and techniques span
practically the entire spectrum of science and technology.
Real applications of optimization often contain information and data that is imperfect.
Thus, attempts have been made since the early days to develop optimization
models for handling such cases. As the first, natural approaches in this respect
one can mention value intervals and probability distributions as representations of
uncertain data. They have led to the development of various interval and stochastic
optimization models.
Fuzzy sets theory has provided conceptually powerful and constructive tools
and techniques to handle another aspect of imperfect information related to
vagueness and imprecision. This has resulted in the emergence – more or less in
the mid-1970s––of a new field, called fuzzy optimization (and its related fuzzy
mathematical programming), in which many powerful theoretical and algorithmic
results have been proposed too. Many books and edited volumes, and a multitude
of articles have been published. Moreover, numerous applications have been reported
too. |
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 Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Pattern recognition is a central topic in contemporary computer sciences, with continuously evolving topics, challenges, and methods, including machine learning, content-based image retrieval, and model- and knowledge-based approaches, just to name a few. The Iberoamerican Congress on Pattern Recognition (CIARP) has become established as a... | | Signs in MR-Mammography
Breast cancer is the leading cause of cancer-related deaths in women, and its prevalence has been steadily rising in recent decades. This book describes morphologic and kinetic signs that are important in the analysis of breast MR images before and after contrast administration and in various pulse sequences. It will help broaden the clinical... | | |
The Standard C Library
Prentice Hall's most important C programming title in years. A companion volume to Kernighan & Ritchie's C PROGRAMMING LANGUAGE. A collection of reusable functions (code for building data structures, code for performing math functions and scientific calculations, etc.) which will save C programmers time and money especially when... | | OpenLayers 2.10 Beginner's Guide
Web mapping is the process of designing, implementing, generating, and delivering maps on the World Wide Web and its products. OpenLayers is a powerful, community driven, open source, pure JavaScript web mapping library. With it, you can easily create your own web map mashup using WMS, Google Maps, and a myriad of other map backends.... | | PowerPoint 2007 BibleCreating a good presentation is much more than just clicking a few dialog boxes and typing some text. It requires knowledge and planning-lots of it. With the PowerPoint 2007 Bible you will not only be able to build a presentation with PowerPoint, but you’ll also be able to explain why you made the choices you did, and you’ll... |
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