Skip to main content

Books in Theory and mathematics

11-20 of 301 results in All results

Sequences and the de Bruijn Graph

  • 1st Edition
  • February 29, 2024
  • Tuvi Etzion
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 5 1 7 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 5 1 8 - 7
Sequences and the de Bruijn Graph: Properties, Constructions, and Applications explores the foundations of theoretical mathematical concepts and their important applications to computer science, electrical engineering, and bioinformatics. The book introduces the various concepts, ideas, and techniques associated with the use of the de Bruijn Graph, providing comprehensive coverage of sequence classification, one-dimensional and two-dimensional properties, constructions, and interconnection networks. This book is suitable for researchers, graduate students, professors, and professionals working in the fields of applied mathematics, electrical engineering, computer science, and bioinformatics.The de Bruijn graph was defined in 1946 to enumerate the number of closed sequences where each n-tuple appears exactly once as a window in a sequence. Through the years, the graph and its sequences have found numerous applications – in space technology, wireless communication, cryptography, parallel computation, genome assembly, DNA storage, and microbiome research, among others.

Reachable Sets of Dynamic Systems

  • 1st Edition
  • April 21, 2023
  • Stanislaw Raczynski
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 3 8 4 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 3 8 3 - 1
Reachable Sets of Dynamic Systems: Uncertainty, Sensitivity, and Complex Dynamics introduces differential inclusions, providing an overview as well as multiple examples of its interdisciplinary applications. The design of dynamic systems of any type is an important issue as is the influence of uncertainty in model parameters and model sensitivity. The possibility of calculating the reachable sets may be a powerful additional tool in such tasks. This book can help graduate students, researchers, and engineers working in the field of computer simulation and model building, in the calculation of reachable sets of dynamic models.

Comprehensive Metaheuristics

  • 1st Edition
  • January 31, 2023
  • Ali Mirjalili + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 1 7 8 1 - 0
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 7 2 6 7 - 3
Comprehensive Metaheuristics: Algorithms and Applications presents the foundational underpinnings of metaheuristics and a broad scope of algorithms and real-world applications across a variety of research fields. The book starts with fundamentals, mathematical prerequisites, and conceptual approaches to provide readers with a solid foundation. After presenting multi-objective optimization, constrained optimization, and problem formation for metaheuristics, world-renowned authors give readers in-depth understanding of the full spectrum of algorithms and techniques. Scientists, researchers, academicians, and practitioners who are interested in optimizing a process or procedure to achieve a goal will benefit from the case studies of real-world applications from different domains. The book takes a much-needed holistic approach, putting the most widely used metaheuristic algorithms together with an in-depth treatise on multi-disciplinary applications of metaheuristics. Each algorithm is thoroughly analyzed to observe its behavior, providing a detailed tutorial on how to solve problems using metaheuristics. New case studies and research problem statements are also discussed, which will help researchers in their application of the concepts.

Advances in Domain Adaptation Theory

  • 1st Edition
  • August 14, 2019
  • Ievgen Redko + 4 more
  • English
  • Hardback
    9 7 8 - 1 - 7 8 5 4 8 - 2 3 6 - 6
  • eBook
    9 7 8 - 0 - 0 8 - 1 0 2 3 4 7 - 1
Advances in Domain Adaptation Theory gives current, state-of-the-art results on transfer learning, with a particular focus placed on domain adaptation from a theoretical point-of-view. The book begins with a brief overview of the most popular concepts used to provide generalization guarantees, including sections on Vapnik-Chervonenkis (VC), Rademacher, PAC-Bayesian, Robustness and Stability based bounds. In addition, the book explains domain adaptation problem and describes the four major families of theoretical results that exist in the literature, including the Divergence based bounds. Next, PAC-Bayesian bounds are discussed, including the original PAC-Bayesian bounds for domain adaptation and their updated version. Additional sections present generalization guarantees based on the robustness and stability properties of the learning algorithm.

Adaptive Mobile Computing

  • 1st Edition
  • August 14, 2017
  • Mauro Migliardi + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 4 6 0 3 - 6
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 4 6 1 0 - 4
Adaptive Mobile Computing: Advances in Processing Mobile Data Sets explores the latest advancements in producing, processing and securing mobile data sets. The book provides the elements needed to deepen understanding of this trend which, over the last decade, has seen exponential growth in the number and capabilities of mobile devices. The pervasiveness, sensing capabilities and computational power of mobile devices have turned them into a fundamental instrument in everyday life for a large part of the human population. This fact makes mobile devices an incredibly rich source of data about the dynamics of human behavior, a pervasive wireless sensors network with substantial computational power and an extremely appealing target for a new generation of threats.

Smart Sensors Networks

  • 1st Edition
  • June 8, 2017
  • Fatos Xhafa + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 9 8 5 9 - 2
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 9 8 6 5 - 3
Smart Sensors Networks: Communication Technologies and Intelligent Applications explores the latest sensor and sensor networks techniques and applications, showing how networked wireless sensors are used to monitor and gather intelligence from our surrounding environment. It provides a systematic look at the unique characteristics of wireless sensor networks through their usage in a broad range of areas, including healthcare for the elderly, energy consumption, industrial automation, intelligent transportation systems, smart homes and cities, and more. The book shows how sensor-networks work and how they are applied to monitor our surrounding environment. It explores the most important aspects of modern sensors technologies, providing insights on the newest technologies and the systems needed to operate them. Readers will find the book to be an entry point for understanding the fundamental differences between the various sensor technologies and their use in for different scenarios. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS

Physically Based Rendering

  • 3rd Edition
  • September 30, 2016
  • Matt Pharr + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 0 0 6 4 5 - 0
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 0 7 0 9 - 9
Physically Based Rendering: From Theory to Implementation, Third Edition, describes both the mathematical theory behind a modern photorealistic rendering system and its practical implementation. Through a method known as 'literate programming', the authors combine human-readable documentation and source code into a single reference that is specifically designed to aid comprehension. The result is a stunning achievement in graphics education. Through the ideas and software in this book, users will learn to design and employ a fully-featured rendering system for creating stunning imagery. This completely updated and revised edition includes new coverage on ray-tracing hair and curves primitives, numerical precision issues with ray tracing, LBVHs, realistic camera models, the measurement equation, and much more. It is a must-have, full color resource on physically-based rendering.

Quantum Inspired Computational Intelligence

  • 1st Edition
  • September 15, 2016
  • Siddhartha Bhattacharyya + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 4 4 0 9 - 4
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 4 4 3 7 - 7
Quantum Inspired Computational Intelligence: Research and Applications explores the latest quantum computational intelligence approaches, initiatives, and applications in computing, engineering, science, and business. The book explores this emerging field of research that applies principles of quantum mechanics to develop more efficient and robust intelligent systems. Conventional computational intelligence—or soft computing—is conjoined with quantum computing to achieve this objective. The models covered can be applied to any endeavor which handles complex and meaningful information.

Foundations of Quantum Programming

  • 1st Edition
  • March 9, 2016
  • Mingsheng Ying
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 2 3 0 6 - 8
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 2 5 4 6 - 8
Foundations of Quantum Programming discusses how new programming methodologies and technologies developed for current computers can be extended to exploit the unique power of quantum computers, which promise dramatic advantages in processing speed over currently available computer systems. Governments and industries around the globe are now investing vast amounts of money with the expectation of building practical quantum computers. Drawing upon years of experience and research in quantum computing research and using numerous examples and illustrations, Mingsheng Ying has created a very useful reference on quantum programming languages and important tools and techniques required for quantum programming, making the book a valuable resource for academics, researchers, and developers.

Development of Online Hybrid Testing

  • 1st Edition
  • September 14, 2015
  • Peng Pan + 2 more
  • English
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 3 3 9 2 - 0
Development of Online Hybrid Testing: Theory and Applications to Structural Engineering provides comprehensive treatments of several topics pertinent to substructure online hybrid tests. Emphasis has been placed on explaining the three frameworks: the host-station framework, separated model framework and peer to peer framework These have been developed within the Internet environment and are particularly suitable for distributed hybrid testing. In order to help readers to understand the essence of online hybrid testing and further to build up their own systems, an engineering practice has been introduced at the end of this book with the source code appended. Development of Online Hybrid Testing: Theory and Applications to Structural Engineering is primarily written for readers with some background in structural dynamics, finite elements, and computer science. Material that has previously only appeared in journal articles has been consolidated and simplified which provides the reader with a perspective of the state-of-the-art.