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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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In the past decade the systematic study of geometric algorithms has evolved to form the very active field of research known as computational geometry. Computational Geometry: An Introduction presents a comprehensive, systematic, and coherent treatment of its subject.

A fundamental task of computational geometry is identifying condepts, properties, and techniques which aid efficient algorithmic implementations from geometric problems. The approach taken here is the presentation of algorithms and the evaluation of their worst-case complexity. The particular classes of problems addressed include geometric searching and retrieval, convex hull construction and related problems, proximity, intersection, and the geometry of rectangles.

Computational Geometry: An Introduction presents its methodology through detailed case studies. The book, primarily conceived as an early graduate text, should also be essential to researchers and professionals in the fields of computer-aided design, computer graphics and robotics. ... Read more

Customer Reviews (6)

Christians fundimentalists have the King James Version, Computational geometrists have...
This book is to computational geometrists what the King James Version of the Bible is to christian fundimenalists.Even though newer translations of the Bible are easier to read, somehow nothing sounds quite so authentically like the voice of God than those Elisibethen cadences, written in an almost archaic language....

...similarly for this book.Many times, the descriptions of algorithms presented in this book are made unnecesarily hard by very arcane langauge.

But this book is authoritative and definitive in a way that no other text on computational geometry is ever likely to achieve.Even though there are any number of books which are newer and easier to read, it seems like this the one book on the shelf of every serious computational geometer I know.

This book is history
This book is a classic, in fact the author's PhD thesis created this field, but this book is too old for any meaningful graduate work.There are new bounds and algorithms on almost all topics, which makes this a somewhat undesirable book.Also, this book has failed to keep me interested in it, while I am reading it...

Very useful for code development. Very clear and readable.
The ideas and algorithms presented in this book are clear enough for straight implementation in code. I have long experience in developing comercial and production software for VLSI layout applications, which made extensive use of the algorithms presented in this book.
I also use some chapters of this book as a part of a graduate course in VLSI layout algorithms being tought at the Technion, Israel. The contents of this book is well understood by EE and CS students.
I personally love this book, which introduced me into the area of computational geometry and its applications.

Useful but thick
Most of the papers that I've read on computational geometry refer to this text -- and for good reason. There's many good algorithms to be found here.

The book only gets 4 stars because it's hard to read. It took me several tries to pick up the ideas in this text. I think the De Berg text is MUCH easier to read.

The book is also getting a little dated. Some of the topics have come a long way since the 80's.

This book seems to be in most University libraries if you have that option.

Still interesting after so many years ...
I have just happened to exhume this book from my library, after it spent some years gathering dust above the shelf. In spite of the long time I have not being reading it, it still retains the full meaning it showed me when I was using in calculations relating radar domain definition. May be the textbook wins by far the comparison to the current vague and inflated computer publications, may be it is not a manager-oriented issue but it is for nearly specialistic use, you find in it clearly stated, and straight, answers to the questions you meet, or at least a definite reference where a more detailed explanation can be find. It presents interesting problems, and explains you how to solve them. I think it is the best you can say about a computer science book. ... Read more

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Traditionally an area of study in computer science, string algorithms have, in recent years, become an increasingly important part of biology, particularly genetics.This volume is a comprehensive look at computer algorithms for string processing. In addition to pure computer science, Gusfield adds extensive discussions on biological problems that are cast as string problems and on methods developed to solve them. This text emphasizes the fundamental ideas and techniques central to today's applications.New approaches to this complex material simplify methods that up to now have been for the specialist alone.With over 400 exercises to reinforce the material and develop additional topics, the book is suitable as a text for graduate or advanced undergraduate students in computer science, computational biology, or bio-informatics. ... Read more

Customer Reviews (13)

A very dense book
Don't get thrown off by the 'bio' in the title. I use it for computer security - signature based intrusion detection.

This is a very dense book for the serious. The author does not waste any time on trivialities. He gives a brief orientation to the notations and jumps into very intricate algorithms right from the start. You will need to draw pictures or make notes on a scratch paper as you read to follow concepts from one paragraph to the next.

This is a treatise on string algorithms.

Good Buy
The book was like new. The shipping was fast. I am very happy with this purchase!!!

phenomenal
This book is absolutely excellent.Gusfield walks the reader from simple concepts in string matching through advanced in a way that I found very easy to follow.Every bioinformatics researcher should have copy of this text.

Well Written Text Book
A well written text book with an obvious bias to biological application, but maybe most useful for its clear explanation and rigour of string algorithms.

nice intersection of computing and biology
The text sits at the intersection of computer science and computational biology. It centres around the observation made by the author and others that often in CS, one has to manipulate strings of text, which are just sequences of text. While in computational biology, a recurrent theme is how to deal with sequences of molecules. These might be in a DNA sample or in a protein.

Surprisingly, from this simple observation, Gusfield manages to gather together considerable material. Over the decades, computing has accrued many algorithms for text string processing. The book's merit is in presenting those which are also applicable in bioinfomatics. The level of treatment is sophisticated, from the computing vantage. Enough so that perhaps the typical geneticist might not be able to easily follow the narrative. But a researcher with a strong background in both fields might be able to benefit. ... Read more

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Analysis of molecular sequence data is the main subject of this introduction to computational biology. There are two closely connected aspects to biological sequences: (i) their relative position in the space of all other sequences, and (ii) their movement through this sequence space in evolutionary time. Accordingly, the first part of the book deals with classical methods of sequence analysis: pairwise alignment, exact string matching, multiple alignment, and hidden Markov models. In the second part evolutionary time takes center stage and phylogenetic reconstruction, the analysis of sequence variation, and the dynamics of genes in populations are explained in detail. In addition, the book contains a computer program with a graphical user interface that allows the reader to experiment with a number of key concepts developed by the authors.

This textbook is intended for students enrolled in courses in computational biology or bioinformatics as well as for molecular biologists, mathematicians, and computer scientists.

Customer Reviews (1)

try the enclosed GUI program
For some readers, the best attraction of the book is the GUI program that lets you quickly experiment and apply the main ideas. The text is very interdisciplinary, written for diverse audiences, spanning biology, computer science and mathematics. Some aspects of the book may perhaps be too mathematical for some biology readers. Say the Hidden Markov Models, for example. But if you keep at it, you should get able to get the gist of the models. Which is another reason for the usefulness of the GUI. Essentially, so long as you understand the basic math ideas, the GUI lets you sidestep the grotty details and focus on applying the overall models.

It could also be that the book is suitable for a university course. The chapter exercises and accompanying answers are useful, in this regard. ... Read more

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This book offers a fundamental and practical introduction to the use of computational methods, particularly finite element methods, in the simulation of fluid flows in porous media. It is the first book to cover a wide variety of flows, including single-phase, two-phase, black oil, volatile, compositional, nonisothermal, and chemical compositional flows in both ordinary porous and fractured porous media. In addition, a range of computational methods are used, and benchmark problems of nine comparative solution projects organized by the Society of Petroleum Engineers are presented for the first time in book form.Computational Methods for Multiphase Flows in Porous Media reviews multiphase flow equations and computational methods to introduce basic terminologies and notation. A thorough discussion of practical aspects of the subject is presented in a consistent manner, and the level of treatment is rigorous without being unnecessarily abstract. Each chapter ends with bibliographic information and exercises.This book can be used as a textbook for graduate or advanced undergraduate students in geology, petroleum engineering, and applied mathematics, and as a reference book for professionals in these fields, as well as scientists working in the area of petroleum reservoir simulation. It can also be used as a handbook for employees in the oil industry who need a basic understanding of modeling and computational method concepts and by researchers in hydrology, environmental remediation, and some areas of biological tissue modeling. Calculus, physics, and some acquaintance with partial differential equations and simple matrix algebra are necessary prerequisites.List of Figures; List of Tables; Preface; Chapter 1: Introduction; Chapter 2: Flow and Transport Equations; Chapter 3: Rock and Fluid Properties; Chapter 4: Numerical Methods; Chapter 5: Solution of Linear Systems; Chapter 6: Single Phase Flow; Chapter 7: Two-Phase Flow; Chapter 8: The Black Oil Model; Chapter 9: The Compositional Model; Chapter 10: Nonisothermal Flow; Chapter 11: Chemical Flooding; Chapter 12: Flows in Fractured Porous Media; Chapter 13: Welling Modeling; Chapter 14: Special Topics; Chapter 15: Nomenclature; Chapter 16: Units; Bibliography; Index. ... Read more

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This applications-oriented book teaches students and engineers how to employ mathematical techniques for simulation and data processing using Mathcad. It is designed as a reference for practicing engineers or for use as a standard university course text, illustrating practical examples from computational science (such as optics, environmental science, chemistry, biology, tomography, economics, etc). The authors describe the most popular classical algorithms and modern techniques with all of the examples computed in Mathcad (on CD-ROM). ... Read more

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The contributions in this book by leading international experts in the field of electromagnetic field computation cover a wide area of contemporary research activities. They clearly underline the important role of modeling, analysis and numerical methods to provide powerful tools for the simulation of electromagnetic phenomena. The main topics range from the mathematical analysis of Maxwell's equations including its proper spatial discretizations (edge elements, boundary element methods, finite integration), and efficient iterative solution techniques (multigrid, domain decomposition) to multiscale aspects in micromagnetics. The reader will get acquainted with many facets of modern computational techniques and its applications to relevant problems in electromagnetism. ... Read more

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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.

Product Description

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.

Product Description
Report of a Workshop on the Scope and Nature of Computational Thinking presents a number of perspectives on the definition and applicability of computational thinking. For example, one idea expressed during the workshop is that computational thinking is a fundamental analytical skill that everyone can use to help solve problems, design systems, and understand human behavior, making it useful in a number of fields. Supporters of this viewpoint believe that computational thinking is comparable to the linguistic, mathematical and logical reasoning taught to all children.

Various efforts have been made to introduce K-12 students to the most basic and essential computational concepts and college curricula have tried to provide a basis for life-long learning of increasingly new and advanced computational concepts and technologies. At both ends of this spectrum, however, most efforts have not focused on fundamental concepts. The book discusses what some of those fundamental concepts might be.

Report of a Workshop on the Scope and Nature of Computational Thinking explores the idea that as the use of computational devices is becoming increasingly widespread, computational thinking skills should be promulgated more broadly. The book is an excellent resource for professionals in a wide range of fields including educators and scientists. ... Read more

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Computational social science is an approach increasingly influential in a broad range of social sciences. It involves building a computer program model that represents a theory and then ‘executing’ the program and observing the output as a way of validating the theory, making predictions about the social world or exploring the implications of social interventions.

Product Description
Computer modeling techniques are now widely used in all scientific disciplines. A particularly fruitful area of application is the field of materials science, where computational methods are now indispensable tools in studying the structure, properties and reactivities of materials. The field has expanded very rapidly in recent years owing both to the continuing exponential growth in hardware performance and the ongoing developments in techniques and algorithms. This book aims to give a survey of the fundamental methodologies and an illustrative range of contemporary applications. The field is now so large that the latter is necessarily selective, and our focus is on inorganic (especially oxide) materials and semiconductors, where there have been many important and exciting recent developments. ... Read more

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The authors present techniques and algorithms in computational science that have been developed for parallel computers. The numerical methods that have evolved in recent years to investigate problems in physics, mathematics, chemistry and biology by means of computer simulations are now being extended to make use of the opportunities opened up by the development of parallel computers. To utilize this potentially vast increase in computer power, it is necessary to devise algorithms that are appropriate to the particular problem being investigated. This volume combines a detailed consideration of the computer architecture (hardware and software feature as well as inter-processor communication schemes) with an understanding of the physical system being studied. These two aspects together make it possible to develop techniques that make optimum use of the available parallelism. Attention is focused on the Monte Carlo and molecular dynamics methods, and the techniques and algorithms are illustrated with examples from the statistical mechanics of spin systems, polymers and other many-particle systems. ... 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

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This book consists of ten chapters which outline a wide range of technologies from first-principle calculations to continuum mechanics, with applications to materials design and development. Written with a clear exposition, this book will be invaluable for engineers who want to learn about the modern technologies and techniques utilized in materials design. ... Read more

Customer Reviews (1)

Not worth the money or the time to read it
The goal of this book is to show how computer modelling can be used to aid the design and selection of materials for different applications in science and engineering.These include designing of metal alloys for structural applications, designing compounds to obtain specific magnetic properties, modeling radiation damage of different materials, and calculating phase diagrams of ternary mixtures.The different modeling techniques covered include total energy ab initio calculations, molecular dynamics, finite element analysis, and thermodynamic modeling using the CALPHAD approach.

The book is laid out in chapters, with each chapter written by a distinct group of authors showcasing a distinct way computer modeling is used to aid in materials design.Therefore, the book is example-driven, with a lot of references to industrial and academic publications.The book's goal is noble, and worth the cause, but the book itself has numerous shortcomings which I list below.

1. Modeling of real phenomena and processes requires an accounting of finite temperature affects.These effects can be explicitly included in the model itself, or data obtained from the model can by corrected for the exclusion of temperature effects.This is extremely important since many properties are temperature dependent / activated.This book consistently failed to address this issue in a quantitative sense.Yes, rate equations and other temperature-dependent formulas are included in the appropriate spaces, but there is minimal mention of how temperature affects are incorporated into a simulation.

2. Size effects are barely mentioned.Calculations of bulk properties of perfect (elemental or stoichiometric compoud) crystals represent the only case where size convergence is not needed.For all other systems, whether it be alloys, free surfaces, interfaces, or thin films, there needs to be convergence of some property (energy/atom, force, etc..) with respect to the size of the system.This is generally missing from the examples given in the text, which is especially disconcerting seeing that the book is example-driven.

3. Comparison of different methodologies. There are various methodologies available to model a given structure or phenomena.For example, to determine the vacancy formation energy in bulk aluminum, one could use DFT with the LDA/GGA, the embedded atom method, Green's functions, lattice Monte Carlo, etc...These different methods differ in their computational cost, precision, accuracy, and robustness.Specfically, different methods come closer to reproducing electron behavior and hence bonding.The different chapters in this book generally failed to give a thorough explanation of why a specific method was used over others, and what are the limitations inherent to that method.This is especially important if the model is being used to select materials for applications.

4. Clarification of precision, accuracy, and applicability.In the chapter on designing metal alloys, atom-atom interactions between different elements were calculated using Lennard - Jones potentials!Any good modeler can tell you that Lennard - Jones potentials should only be used for modeling noble gas solids, and maybe ionic solids.LJ potentials should never be used to model metallic systems, especially alloys.These examples should have been examined using DFT + LDA/GGA, or maybe EAM / EMT at worst.This book was published in 1999, so the examples included in it were probably worked out over the previous 5 years.Computing hardware and software had advanced far enough by the early 1990s for the relevant authors to do their modeling at a higher level than LJ potentials.

5. Lack of simulation details.The book was heavy on the science and the simulation results, but lacking on the simulation procedure.This is a big no-no.Experiment or simulation, the accompanying write-up should be detailed enough for somebody else to reproduce the results.I do not think anyone can reproduce the results given in this book using only this book and the references given herein.

Overall, the aim of this book was good, and the mix of topics was diverse and appealing to a wide audience.But the treatment of the subject matter was horrendous.I advise against buying or reading this book. ... Read more

Product Description

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.

Product Description

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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Computational Methods for Nanoscale Applications: Particles, Plasmons and Waves presents new perspectives on modern nanoscale problems where fundamental science meets technology and computer modeling. This book describes well-known computational techniques such as finite-difference schemes, finite element analysis and Ewald summation, as well as a new finite-difference calculus of Flexible Local Approximation MEthods (FLAME) that qualitatively improves the numerical accuracy in a variety of problems. Application areas in the book include long-range particle interactions in homogeneous and heterogeneous media, electrostatics of colloidal systems, wave propagation in photonic crystals, photonic band structure, plasmon field enhancement, and metamaterials with backward waves and negative refraction.

Computational Methods for Nanoscale Applications is accessible to specialists and graduate students in diverse areas of nanoscale science and technology, including physics, engineering, chemistry, and applied mathematics. In addition, several advanced topics will be of particular interest to the expert reader.

Key Features:

• Utilizes a two-tiered style of exposition with intuitive explanation of key principles in the first tier and further technical details in the second
• Bridges the gap between physics and engineering and computer science
• Presents fundamentals and applications of computational methods, electromagnetic theory, colloidal systems and photonic structures
• Covers "hot topics" in photonics, plasmonics, and metamaterials.

Product Description

Hydroinformatics is an emerging subject that is expected to gather speed, momentum and critical mass throughout the forthcoming decades of the 21st century. This book provides a broad account of numerous advances in that field - a rapidly developing discipline covering the application of information and communication technologies, modelling and computational intelligence in aquatic environments. A systematic survey, classified according to the methods used (neural networks, fuzzy logic and evolutionary optimization, in particular) is offered, together with illustrated practical applications for solving various water-related issues. ...