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Books in Computational methods

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11-20 of 31 results in All results

Differential Quadrature and Differential Quadrature Based Element Methods

  • 1st Edition
  • March 24, 2015
  • Xinwei Wang
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 3 0 8 1 - 3
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 3 1 0 7 - 0
Differential Quadrature and Differential Quadrature Based Element Methods: Theory and Applications is a comprehensive guide to these methods and their various applications in recent years. Due to the attractive features of rapid convergence, high accuracy, and computational efficiency, the differential quadrature method and its based element methods are increasingly being used to study problems in the area of structural mechanics, such as static, buckling and vibration problems of composite structures and functional material structures. This book covers new developments and their applications in detail, with accompanying FORTRAN and MATLAB programs to help you overcome difficult programming challenges. It summarises the variety of different quadrature formulations that can be found by varying the degree of polynomials, the treatment of boundary conditions and employing regular or irregular grid points, to help you choose the correct method for solving practical problems.

Computational Methods in Engineering

  • 1st Edition
  • December 2, 2013
  • S.P. Venkateshan + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 4 1 6 7 0 2 - 5
  • eBook
    9 7 8 - 0 - 1 2 - 4 1 6 7 0 3 - 2
Computational Methods in Engineering brings to light the numerous uses of numerical methods in engineering. It clearly explains the application of these methods mathematically and practically, emphasizing programming aspects when appropriate. By approaching the cross-disciplinary topic of numerical methods with a flexible approach, Computational Methods in Engineering encourages a well-rounded understanding of the subject. This book's teaching goes beyond the text—detailed exercises (with solutions), real examples of numerical methods in real engineering practices, flowcharts, and MATLAB codes all help you learn the methods directly in the medium that suits you best.

Computational Materials Science

  • 1st Edition
  • November 19, 2013
  • A.M. Ovrutsky + 2 more
  • English
  • eBook
    9 7 8 - 0 - 1 2 - 4 2 0 2 0 7 - 8
Computational Materials Science provides the theoretical basis necessary for understanding atomic surface phenomena and processes of phase transitions, especially crystallization, is given. The most important information concerning computer simulation by different methods and simulation techniques for modeling of physical systems is also presented. A number of results are discussed regarding modern studies of surface processes during crystallization. There is sufficiently full information on experiments, theory, and simulations concerning the surface roughening transition, kinetic roughening, nucleation kinetics, stability of crystal shapes, thin film formation, imperfect structure of small crystals, size dependent growth velocity, distribution coefficient at growth from alloy melts, superstructure ordering in the intermetallic compound. Computational experiments described in the last chapter allow visualization of the course of many processes and better understanding of many key problems in Materials Science. There is a set of practical steps concerning computational procedures presented. Open access to executable files in the book make it possible for everyone to understand better phenomena and processes described in the book.

Computational Toxicology

  • 1st Edition
  • June 4, 2013
  • Bruce A. Fowler
  • English
  • eBook
    9 7 8 - 0 - 1 2 - 3 9 6 5 0 8 - 0
Computational Toxicology: Methods and Applications for Risk Assessment is an essential reference on the translation of computational toxicology data into information that can be used for more informed risk assessment decision-making. This book is authored by leading international investigators who have real-world experience in relating computational toxicology methods to risk assessment. Key topics of interest include QSAR modeling, chemical mixtures, applications to metabolomic and metabonomic data sets, toxicogenomic analyses, applications to REACH informational strategies and much more. The examples provided in this book are based on cutting-edge technologies and set out to stimulate the further development of this promising field to offer rapid, better and more cost-effective answers to major public health concerns.

Computational Methods in Cell Biology

  • 1st Edition
  • Volume 110
  • April 13, 2012
  • Anand R. Asthagiri + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 3 8 8 4 0 3 - 9
  • eBook
    9 7 8 - 0 - 1 2 - 3 8 8 4 2 1 - 3
Computational methods are playing an ever increasing role in cell biology.  This volume of Methods in Cell Biology focuses on Computational Methods in Cell Biology and consists of two parts: (1) data extraction and analysis to distill models and mechanisms, and (2) developing and simulating models to make predictions and testable hypotheses. 

Computational Methods for Genetics of Complex Traits

  • 1st Edition
  • Volume 72
  • November 2, 2010
  • Jason H Moore + 1 more
  • English
  • eBook
    9 7 8 - 0 - 1 2 - 3 8 0 8 6 3 - 9
The field of genetics is rapidly evolving, and new medical breakthroughs are occurring as a result of advances in knowledge gained from genetics reasearch. This thematic volume of Advances in Genetics looks at Computational Methods for Genetics of Complex traits.

Computational Methods for the Atmosphere and the Oceans

  • 1st Edition
  • Volume 14
  • November 28, 2008
  • Roger Temam + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 4 - 5 1 8 9 3 - 4
  • eBook
    9 7 8 - 0 - 0 8 - 0 9 3 1 0 3 - 6
This book provides a survey of the frontiers of research in the numerical modeling and mathematical analysis used in the study of the atmosphere and oceans. The details of the current practices in global atmospheric and ocean models, the assimilation of observational data into such models and the numerical techniques used in theoretical analysis of the atmosphere and ocean are among the topics covered.

Introduction to Applied Statistical Signal Analysis

  • 3rd Edition
  • December 14, 2006
  • Richard Shiavi
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 0 8 8 5 8 1 - 7
  • eBook
    9 7 8 - 0 - 0 8 - 0 4 6 7 6 8 - 9
Introduction to Applied Statistical Signal Analysis, Third Edition, is designed for the experienced individual with a basic background in mathematics, science, and computer. With this predisposed knowledge, the reader will coast through the practical introduction and move on to signal analysis techniques, commonly used in a broad range of engineering areas such as biomedical engineering, communications, geophysics, and speech. Topics presented include mathematical bases, requirements for estimation, and detailed quantitative examples for implementing techniques for classical signal analysis. This book includes over one hundred worked problems and real world applications. Many of the examples and exercises use measured signals, most of which are from the biomedical domain. The presentation style is designed for the upper level undergraduate or graduate student who needs a theoretical introduction to the basic principles of statistical modeling and the knowledge to implement them practically.

Process Integration

  • 1st Edition
  • Volume 7
  • February 14, 2006
  • Mahmoud M. El-Halwagi
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 3 7 0 5 3 2 - 7
  • eBook
    9 7 8 - 0 - 0 8 - 0 4 5 4 2 9 - 0
With growing global competition, the process industries must spare no effort in insuring continuous process improvement in terms of Increasing profitability; Conservation of resources and Prevention of pollution. The question is how can engineers achieve these goals for a given process with numerous units and streams? Until recently conventional approaches to process design and operation put emphasis only on individual units and parts of the process. A more powerful integrated approach was lacking. The new field of Process Integration looks towards the processing plant as a whole in its attempt to find solutions and improvements. Research over the past two decades has resulted in many techniques that allow engineers to better understand complex facilities and significantly enhance their performance. This textbook presents a comprehensive and authoritative treatment of the concepts, tools and applications of Process Integration. Emphasis is given to systematic ways of analyzing process performance. Graphical, algebraic and mathematical procedures are presented in detail. In addition to covering the fundamentals of the subject, the book also includes numerous case studies and examples that illustrate how Process Integration is solving actual industrial problems.

Advanced Derivatives Pricing and Risk Management

  • 1st Edition
  • September 8, 2005
  • Claudio Albanese + 1 more
  • English
  • eBook
    9 7 8 - 0 - 0 8 - 0 4 8 8 0 9 - 7
Advanced Derivatives Pricing and Risk Management covers the most important and cutting-edge topics in financial derivatives pricing and risk management, striking a fine balance between theory and practice. The book contains a wide spectrum of problems, worked-out solutions, detailed methodologies, and applied mathematical techniques for which anyone planning to make a serious career in quantitative finance must master. In fact, core portions of the book’s material originated and evolved after years of classroom lectures and computer laboratory courses taught in a world-renowned professional Master’s program in mathematical finance. The book is designed for students in finance programs, particularly financial engineering.