Dynamics of Disasters—Key Concepts, Models, Algorithms, and Insights, Ilias S. Kotsireas; Anna Nagurney; Panos M. Pardal
Автор: Ching Wai-Ki, Ng Michael K. Название: Markov Chains: Models, Algorithms and Applications ISBN: 0387293353 ISBN-13(EAN): 9780387293356 Издательство: Springer Рейтинг: Цена: 13270.00 р. Наличие на складе: Поставка под заказ.
Описание: Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This title outlines developments of Markov chain models for modeling queueing sequences, Internet, re-manufacturing systems, reverse logistics, inventory systems, bio-informatics, and many other practical systems.
Описание: This volume focuses on contributions from both the mathematics and life science community surrounding the concepts of time and dynamicity of nature, two significant elements which are often overlooked in modeling process to avoid exponential computations. The book is divided into three distinct parts: dynamics of genomes and genetic variation, dynamics of motifs, and dynamics of biological networks. Chapters included in dynamics of genomes and genetic variation analyze the molecular mechanisms and evolutionary processes that shape the structure and function of genomes and those that govern genome dynamics. The dynamics of motifs portion of the volume provides an overview of current methods for motif searching in DNA, RNA and proteins, a key process to discover emergent properties of cells, tissues, and organisms. The part devoted to the dynamics of biological networks covers networks aptly discusses networks in complex biological functions and activities that interpret processes in cells. Moreover, chapters in this section examine several mathematical models and algorithms available for integration, analysis, and characterization. Once life scientists began to produce experimental data at an unprecedented pace, it become clear that mathematical models were necessary to interpret data, to structure information with the aim to unveil biological mechanisms, discover results, and make predictions. The second annual “Bringing Maths to Life” workshop held in Naples, Italy October 2015, enabled a bi-directional flow of ideas from and international group of mathematicians and biologists. The venue allowed mathematicians to introduce novel algorithms, methods, and software that may be useful to model aspects of life science, and life scientists posed new challenges for mathematicians.
Описание: Examines key issues in designing semantics-oriented natural language processing systems. This book uses examples and illustrations to clarify complex material and demonstrate practical applications. It includes historical and bibliographical notes, end-of-chapter exercises, and glossaries.
Автор: James C. Bezdek; James Keller; Raghu Krisnapuram; Название: Fuzzy Models and Algorithms for Pattern Recognition and Image Processing ISBN: 0792385217 ISBN-13(EAN): 9780792385219 Издательство: Springer Рейтинг: Цена: 62750.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This study introduces the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision.
Описание: Provides a comprehensive treatment of all the techniques in nonlinear dynamics together with C++, Java and SymbolicC++ implementations. This book not only covers the theoretical aspects of the topics but also provides the practical tools. To understand the material, it includes more than 100 worked out examples and 150 ready to run programs.
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