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Boundary Element Methods (BEM) have gained widespread acceptance in the areas of engineering analysis related to potential problems and elasticity. These techniques are also being used increasingly for the analysis of heat and mass transfer problems and more recently in flow analysis or momentum transport. The advantages of the method, such as the reduction of dimensionality for linear differential equations, ease of coding and smaller memory requirements and its high level of accuracy and computational efficiency, will ensure that its use will become more and more common. Until now coverage of the method's use in transport phenomena has been confined to journals and multi-editor works and textbook coverage has not been available. The purpose of this book is to provide a monograph to fill this gap. It aims to provide a thorough understanding of the fundamentals of the method and its capability in solving a wide range of transport phenomena problems, especially in heat and mass transfer. The book can be used as a stand alone text for a short BEM course or as a supplement to the more traditional transport phenomena texts in a conventional course to reinforce the numerical aspects of the subject. It can also be used as a self study tool for researchers involved in engineering analysis. Examples are provided throughout the text to illustrate the ideas and solutions. ... Read more

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The chosen semi-discrete approach of a reduction procedure of partial differential equations to ordinary differential equations and finally to difference equations gives the book its distinctiveness and provides a sound basis for a deep understanding of the fundamental concepts in computational fluid dynamics.

Customer Reviews (3)

Well written and easy to follow
The authors proceed through the study of CFD in a systematic and sensible manner, starting with the very basics, and building up to useful problem formulations and solutions.

Very little is assumed about the reader's background.Any familiarity with PDE's will make this a very easy book to read.

An easy presentation to not so easy concepts!
This book presents some fundamentals of CFD based on straightforward mathematical tools giving fast access to very interesting general behaviours of PDE families. Apart from the introduction of basic concepts, finite differences and finite volume discretizations, the heart of the book lies in chapters 4,6,7 where a clear and systematic methodology to go from PDE to ODE to O(delta)E is presented. The classical stabilities associated to the most famous time steppings are presented. Some other features such as multigrid, splitting, and upwind dissipations are presented in the same clear setting. The book is very well written, clear and straightforward. I hope more advancedtopics will be also included in further editions!

Fundamentals of Computational Fluid Dynamics
Fundamentals of Computational Fluid Dynamics is one of several technically useful books on the subject.What sets it apart, however, is its ability to attract and maintain the reader's interest in what could otherwise be a dry topic.

The authors walk the student through a logical development of all aspects of the material.Helpful examples and end-of-chapter exercises solidify student learning in a practical manner.This book is an excellent resource, focusing on the fundamentals of the topic, and has my full recommendation. ... Read more

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Practical Optimization: Algorithms and Engineering Applications is a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semester’s worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable for practitioners in the field.

Customer Reviews (1)

Practical Optimization
Basically I liked the book.As a practicing "front-line" grunt aersospace engineer for a large Fortune 500 Company this book is a good and practical book for the control systems analysis I do.The big problem with optimization books like this one is that the examples are very contrived and trival.What a book like this is suppose to do is help one figure out if the the problem he/she is currently working can be "cast" into an optimization problem and then solved by any of the algorithms presented.This book is a little weak in that respect.But it is still useful and I am glad I have it in my collection. ... Read more

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Most undergraduate books for engineering dynamics exhibit a continuing disconnect from either the requirements of subsequent coursework or the practice of dynamics in an engineering career. Dynamics in Engineering Practice, Tenth Edition counters this dated viewpoint with a modern approach that is better suited to today’s engineering study and practice. Written by a renowned teacher, researcher, and professional consultant in applied dynamics, this book represents a revolutionary approach to modern engineering dynamics analysis—one you can assimilate quickly and easily to get immediate results.

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This book is an introduction to modern numerical methods in engineering. It covers applications in fluid mechanics, structural mechanics, and heat transfer as the most relevant fields for engineering disciplines such as computational engineering, scientific computing, mechanical engineering as well as chemical and civil engineering. The content covers all aspects in the interdisciplinary field which are essential for an ''up-to-date'' engineer.

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Domain decomposition is an active, interdisciplinary research area concerned with the development, analysis, and implementation of coupling and decoupling strategies in mathematical and computational models of natural and engineered systems. Since the advent of hierarchical distributed memory computers, it has been motivated by considerations of concurrency and locality in a wide variety of large-scale problems, continuous and discrete. Historically, it emerged from the analysis of partial differential equations, beginning with the work of Schwarz in 1870. The present volume sets forth new contributions in areas of numerical analysis, computer science, scientific and industrial applications, and software development.

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This monograph provides novel insights into cognitive mechanisms underlying the processing of sound and music in different environments. A solid understanding of these mechanisms is vital for numerous technological applications such as for example information retrieval from distributed musical databases or building expert systems. In order to investigate the cognitive mechanisms of music perception fundamentals of hearing psychophysiology and principles of music perception are presented. In addition, some computational intelligence methods are reviewed, such as rough sets, fuzzy logic, artificial neural networks, decision trees and genetic algorithms. The applications of hybrid decision systems to problem solving in music and acoustics are exemplified and discussed on the basis of obtained experimental results.

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In this edited book various novel approaches to problems of modern civil engineering are demonstrated. Experts associated within the Lagrange Laboratory present recent research results in civil engineering dealing both with modelling and computational aspects. Many modern topics are covered, such as monumental dams, soil mechanics and geotechnics, granular media, contact and friction problems, damage and fracture, new structural materials, and vibration damping – presenting the state of the art of mechanical modelling and computational issues in civil engineering.

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The Computational Methods in Transport: Granlibakken 2004 book is based on a series of lectures given in Lake Tahoe California in September of 2004. The Granlibakken workshop was devoted to providing a forum where computational transport researchers in a variety of disciplines could communicate across disciplinary boundaries their methods and their methods successes and failures. This book captures both the breadth and depth of computational transport in mathematics, astrophysics, high energy density physics, atmospheric physics, oceanography, plant canopies, and nuclear reactors.

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Focusing on the conceptual understanding of mechanics, this exciting new text addresses developments in the methods of analyzing mechanics problems. It fully incorporates the highly sophisticated computational software packages currently available to students. The text provides transition material to higher level courses, as well as a wealth of problems to foster understanding. All sample problems and the use of computational software (Mathcad, MATLAB, Mathematica and Maple) are presented in four separate manuals (one for each software program). Each manual explains how to use the software package to solve the example problems in the book. ... Read more

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"Describes the latest techniques and real-life applications of computational fluid dynamics (CFD) and heat transfer in aeronautics, materials processing and manufacturing, electronic cooling, and environmental control. Includes new material from experienced researchers in the field. Complete with detailed equations for fluid flow and heat transfer." ... Read more

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A comprehensive handbook on the fundamental mathematics of engineering computation, presenting the material in an order suitable for engineering purposes. Shows the significance of these computations for typical applications, with relevant definitions, notation, and theories independent of the fast development of information technology. ... Read more

Customer Reviews (1)

a mystery
This book remains a mystery: How did the authors manage to create such a volume without a single reference to the literature? None are given! Other than that, the book is not very readable, but rather a very formal handbook listing definition after definition. The discussions of individual topics are not in-depth enough in order to provide true understanding. Definitely not a must-read. ... Read more

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Virtually all human endeavors can be analyzed and modeled and understood through computer-aided study, and that is very much at the core of operations research, game theory, and decision science.Understanding the potential impact of any action is critical to the success of that action, and in ESTIMATING IMPACT Alexander Kott and Gary Citrenbaum, with a stellar group of contributors, demonstrate how military or humanitarian interventions (or the decision not to intervene) can be rigorously analyzed beforehand and their likely impacts and ramifications predicted at levels appropriate to their scope. A wide range of modeling programs are available that support plan assessment and impact forecast, and they allow accurate prediction within an interdependent set of political, military, economic, social, information, and infrastructure systems, and experts involved in the use and development of these tools demonstrate how, when, and why they should be used. ... Read more

Product Description
Focusing on the conceptual understanding of mechanics, this exciting new text addresses developments in the methods of analyzing mechanics problems. It fully incorporates the highly sophisticated computational software packages currently available to students. The text provides transition material to higher level courses, as well as a wealth of problems to foster understanding. All sample problems and the use of computational software (MathCAD, MATLAB, Mathematica and Maple) are presented in four seperate manuals (one for each software program). Each manual explains how to use the software package to solve the example problems in the book. ... Read more

Customer Reviews (1)

Fairly Good
Engineering Mechanics: Statics is a fairly decent book for an introductory course into Statics, which is the first course one can take in Engineering at my school. The book covers a fair amount of topics and, for the purposes of our class, went beyond what was required by the course. The book makes solid use of calculus - both single and multivariable - where necessary and does not do more "handwaving" than necessary. As for its drawbacks, however, the book does make quite a lot of errors in its solutions key that proved to be somewhat frustrating when I attempted to review material by myself and found that I couldn't get the same answers as the solutions key. Additionally, some of the diagrams are constructed in a very confusing manner and it is nearly impossible to pick out the dimensions of the diagram (i.e, does this joint have a z-component or not). The author should've probably taken some extra time ensuring that the diagrams were well-put out instead of assuming that the reader knew everything. Additionally, some topics, such as the Method of Sections, lacked explanatory depth and I would've appreciated it if the author had gone a little further into its technique instead of just glancing over it. However, when all's said and done, this is still a fairly good book for an introductory course in Statics and Engineering. However, I think there are probably better alternatives out there. ... Read more

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Computational models and methods are central to the analysis of economic and financial decisions. Simulation and optimisation are widely used as tools of analysis, modelling and testing. The focus of this book is the development of computational methods and analytical models in financial engineering that rely on computation. The book contains eighteen chapters written by leading researchers in the area on portfolio optimization and option pricing; estimation and classification; banking; risk and macroeconomic modelling. It explores and brings together current research tools and will be of interest to researchers, analysts and practitioners in policy and investment decisions in economics and finance. ... Read more

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This volume contains a selection of papers presented at the 17th International Conference on Domain Decomposition Methods in Science and Engineering held at St. Wolfgang / Strobl, Austria, July 3 - 7, 2006. Domain decomposition is an active, interdisciplinary research field concerned with the development, analysis, and implementation of coupling and decoupling strategies in mathematical and computational models. Domain decomposition methods provide efficient tools for treating problems in all computational sciences. The reader will become familiar with the newest domain decomposition techniques and their use in the modelling and simulation of complex problems from different fields of application.

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This book contains lecture notes of current development in multiscale modeling, computations and applications. It covers fundamental mathematical theory, numerical algorithms as well as practical computational advice for analysing single and multiphysics models containing a variety of scales in time and space. Complex fluids, porous media flow and oscillatory dynamical systems are treated in some extra depth, as well as tools like analytical and numerical homogenization, fast multipole methods and wavelets. The text includes well designed exercises and project reports on different applications such as astrophysics, computational chemistry, porous media flow and climate change.

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This up-to-date book gives an account of the present state of the art of numerical methods employed in computational fluid dynamics. The underlying numerical principles are treated in some detail, using elementary methods. The author gives many pointers to the current literature, facilitating further study. This book will become the standard reference for CFD for the next 20 years.

Customer Reviews (2)

Excellent book
This book is excellent for either a first-year graduate student or an experienced CFDer. It covers all the necessary contents in a concise way. In particular, the finite volume method is explained well enough for you to write your own CFD code. The last chapter covers development of a unified method, which works for all-speed flows, including both incompressible and compressible flows. I highly recommend this book, not only as a graduate-level textbook but also a permanent reference for your personal library.

good for the experienced
hi all,
this book is not appropriate for the beginners to CFD so i don't recommend it for the instructors who are looking for a introduction book. The tensor notationis also not easy to grasp for the not experienced. Besides the language of the book is not clear and not enough to let the reader apply without referring to another book. This is probably because the book has covered a lot of CFD concepts so deep explanation on every item is not provided.
However I would recommend this book for experienced CFD'ers since it covers many concepts and it can be used as a good referring material. ... Read more

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"Covering the latest issues and achievements, this well documented,precisely presented text is timely and suitable for graduate and upperundergraduate students in knowledge engineering, intelligent systems,AI, neural networks, fuzzy systems, and related areas. The author's goalis to explain the principles of neural networks and fuzzy systems and todemonstrate how they can be applied to building knowledge-based systemsfor problem solving. Especially useful are the comparisons betweendifferent techniques (AI rule-based methods, fuzzy methods,connectionist methods, hybrid systems) used to solve the same or similarproblems." -- Anca Ralescu, Associate Professor of Computer Science,University of Cincinnati

Neural networks and fuzzy systems are different approaches tointroducing human-like reasoning into expert systems. This text is thefirst to combine the study of these two subjects, their basics and theiruse, along with symbolic AI methods to build comprehensive artificialintelligence systems. In a clear and accessible style, Kasabov describesrule- based and connectionist techniques and then their combinations,with fuzzy logic included, showing the application of the differenttechniques to a set of simple prototype problems, which makescomparisons possible. A particularly strong feature of the text is thatit is filled with applications in engineering, business, and finance. AIproblems that cover most of the application-oriented research in thefield (pattern recognition, speech and image processing, classification,planning, optimization, prediction, control, decision making, and gamesimulations) are discussed and illustrated with concrete examples.Intended both as a text for advanced undergraduate and postgraduatestudents as well as a reference for researchers in the field ofknowledge engineering, Foundations of Neural Networks, Fuzzy Systems,and Knowledge Engineering has chapters structured for various levelsof teaching and includes original work by the author along with theclassic material. Data sets for the examples in the book as well as anintegrated software environment that can be used to solve the problemsand do the exercises at the end of each chapter are available freethrough anonymous ftp.Amazon.com Review
Here we have a comprehensive, problem-oriented, engineeringperspective on the uses of neural nets, fuzzy systems, and hybridsthat emphasizes practical solutions to everyday artificialintelligence (AI) problems over abstract theoreticalnoodling. Intended for upper-division students and postgraduates whoneed a solid grounding in knowledge engineering, Foundations ofNeural Networks, Fuzzy Systems, and Knowledge Engineering is stilluseful as a reference for professionals and even as a text foradvanced students in the lower levels.

Taking problems as diverseas soil classification and speech recognition, Kasabov shows therelative merits and failings of the different architectures andhybrids through examples and problems to solve. Organized as atextbook, the first two chapters cover the field as a whole andpresent traditional AI approaches to knowledge engineering. Subsequentchapters examine the particulars of fuzzy systems, neural networks,hybrids, and new models.

Foundations assumes a goodunderstanding of undergraduate-level mathematics; those who wish tofully explore the problems on their own can obtain the requisitesoftware for free through anonymous FTP. --Rob Lightner ... Read more

Customer Reviews (8)

Not a handbook, not a good book
I don't understand the gap between the two group of reviews ( 5 stars and 1 star). As other reviewer said, this book is just a list of techniques without proper examples and without proper math. I understood a couple because I already knew about them. If I would try to use any of the techniques I couldn't. There is more to an algorithm than half a page of description. Where are the examples, the ups and downs, the math justification ?

Well written, useful!
If you read this book, you won't get example C code snippits like other books have. However you will get an excellent understanding of neural networks and fuzzy systems. This book is very well written, and has lots of information! With the information in this book you could write your own code snippits and really understand how it works, rather than just using the code! I highly reccommend this book if you interested in artificial intelligence. It isn't "dry" like some books, and has examples of uses, as well as how well they work!

Very useful book!
I am finishing my degree in environmental engineering at the Politecnico of Milan, Italy. I used this book during a project about adaptive control using neural networks applied to wastewater treatment plant's operation unit. I find it very useful; it is clear and it is possible to find together with the theory practical applications and datasets. In an easy way it shows a mental scheme of artificial intelligence foundations.

a good text book with many applications
This book covers the fundamental concepts and methodologies of neural and fuzzy systems providing many significant applications in decision support, data analysis and data mining. It is a good research guide and an excellent teaching material and offers a wide outlook for future research and application directions.

Useful and easy book to understand
I finish my degree in Economics last year. For my thesis I studied and used neural networks and fuzzy neural networks. I used the text book by Kasabov and find it easy to understand, clear and full of examples, data sets andusable software. The book is excellent text for people without prior knowledge in the area. I am still using the book. ... Read more