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Books in Natural computation

  • Analog and Hybrid Computing

    • 1st Edition
    • June 5, 2014
    • D. E. Hyndman
    • N. Hiller
    • English
    Analog and Hybrid Computing considers the fundamental aspects and principled of analog and hybrid computers and their applications in various scientific investigations. This book is composed of eight chapters, and begins with a brief presentation of the history of computing devices using a generalized flow diagram of computation, illustrating the fundamental differences between analog and digital computers. The subsequent chapters deal with the theory and the operation of the basic units found in electronic analog computers, the methods of scaling problems for the computer, and the organization and operation of computer. These topics are followed by discussions on the solutions of time-varying and non-linear differential equations and the simulation of transfer functions, which is an important aspect of analog computation. The concluding chapter describes some of the additional hardware in modern computers. These chapters particularly highlight the features and advantages of hybrid computing. This book is of value to computer engineers, scientists, and researchers, as well as advanced computer engineering students.

  • Nature-Inspired Optimization Algorithms

    • 1st Edition
    • February 17, 2014
    • Xin-She Yang
    • English
    Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference.

  • Information Theory of Molecular Systems

    • 1st Edition
    • February 22, 2006
    • Roman F Nalewajski
    • English
    As well as providing a unified outlook on physics, Information Theory (IT) has numerous applications in chemistry and biology owing to its ability to provide a measure of the entropy/information contained within probability distributions and criteria of their information "distance" (similarity) and independence. Information Theory of Molecular Systems applies standard IT to classical problems in the theory of electronic structure and chemical reactivity. The book starts by introducing the basic concepts of modern electronic structure/reactivity theory based upon the Density Functional Theory (DFT), followed by an outline of the main ideas and techniques of IT, including several illustrative applications to molecular systems. Coverage includes information origins of the chemical bond, unbiased definition of molecular fragments, adequate entropic measures of their internal (intra-fragment) and external (inter-fragment) bond-orders and valence-numbers, descriptors of their chemical reactivity, and information criteria of their similarity and independence. Information Theory of Molecular Systems is recommended to graduate students and researchers interested in fresh ideas in the theory of electronic structure and chemical reactivity.

  • Computational Error and Complexity in Science and Engineering

    Computational Error and Complexity
    • 1st Edition
    • Volume 201
    • March 4, 2005
    • Vangipuram Lakshmikantham + 1 more
    • English
    The book “Computational Error and Complexity in Science and Engineering” pervades all the science and engineering disciplines where computation occurs. Scientific and engineering computation happens to be the interface between the mathematical model/problem and the real world application. One needs to obtain good quality numerical values for any real-world implementation. Just mathematical quantities symbols are of no use to engineers/technologi... Computational complexity of the numerical method to solve the mathematical model, also computed along with the solution, on the other hand, will tell us how much computation/computat... effort has been spent to achieve that quality of result. Anyone who wants the specified physical problem to be solved has every right to know the quality of the solution as well as the resources spent for the solution. The computed error as well as the complexity provide the scientific convincing answer to these questions. Specifically some of the disciplines in which the book will be readily useful are (i) Computational Mathematics, (ii) Applied Mathematics/Computat... Engineering, Numerical and Computational Physics, Simulation and Modelling. Operations Research (both deterministic and stochastic), Computing Methodologies, Computer Applications, and Numerical Methods in Engineering.Key Features:- Describes precisely ready-to-use computational error and complexity- Includes simple easy-to-grasp examples wherever necessary.- Presents error and complexity in error-free, parallel, and probabilistic methods.- Discusses deterministic and probabilistic methods with error and complexity. - Points out the scope and limitation of mathematical error-bounds.- Provides a comprehensive up-to-date bibliography after each chapter.