Product Description
Written for engineers and engineering scientists, this book gives first priority to the formulation of problems, presenting the classical results as the gold standard, and the numerical approach as a tool for obtaining solutions. The classical part is a revision of the text "Foundations of Solid Mechanics", with a much-expanded discussion on the theories of plasticity and large elastic deformation with finite strains. The computational part is all new and aims to solve major linear and nonlinear boundary-value problems. ... Read more

Customer Reviews (7)

Quality
My professor was new to teaching and, coupled with his heavy Chinese accent, it soon became obvious that a book would be necessary for me to learn and understand the material in this class.So I purchased two books before acquiring this one, and this one is by far the best of them all.It explains everything in detail and rarely skips steps when deriving an equation and always states the assumptions upon which that equation is derived.I have not read the entire book - probably about half - but the portions I have read explained concepts in a non-boring, easy-to-understand way.This book helped me a lot in class and, after the end of the course, I decided to keep it for future reference rather than sell it.This is a good book.Buy it!

Good to know wide overview in solid mechanics
It's good to have a wide overview in Solid Mechanics, but it's not very clear explaining finite non-linear deformations and finite element analysis. There are better and more modern books for that. Sometimes it's confusing.

Great book
Bought this book for a class I am taking.Well written and easy to understand.

Classical and Computational Solid Mechanics (Advanced Series in Engineering Science)
The authors are very keen on this area. The book is suite for the researcher.

Fung's Solid Mechanics
I was an acquaintance of Professor Y.C. "Burt" Fung when he wrote his classic Solid Mechanics book - "Foundations of Solid Mechanics." He had just left Cal Tech to work in the field of Biomechanics at UC San Diego. This book contains much of the same material, updated to the present time, with very nice historical writings about the founders of Solid Mechanics.This is an excellent reference for anyone that considers themself a solid mechaniker. ... Read more

Product Description
This hands-on introduction to computational electromagnetics (CEM) links theoretical coverage of the three key methods - the FDTD, MoM and FEM - to open source MATLAB codes (freely available online) in 1D, 2D and 3D, together with many practical hints and tips gleaned from the author's 25 years of experience in the field. Updated and extensively revised, this second edition includes a new chapter on 1D FEM analysis, and extended 3D treatments of the FDTD, MoM and FEM, with entirely new 3D MATLAB codes. Coverage of higher-order finite elements in 1D, 2D and 3D is also provided, with supporting code, in addition to a detailed 1D example of the FDTD from a FEM perspective. With running examples through the book and end-of-chapter problems to aid understanding, this is ideal for professional engineers and senior undergraduate/graduate students who need to master CEM and avoid common pitfalls in writing code and using existing software. ... Read more

Customer Reviews (1)

A Nice Book for CEM Practitioners
Many experts who work on CEM are great mathematicians and physicists. You can find the beauty of math and physics in their textbooks. But if you are an entrepreneur who wants to start a business in CEM, you must read Prof. Davidson's book before lost in your dreams. The book explains very well why certain CEM methods are particularly suitable for certain markets. As a practitioner, I find the book especially useful for choosing computational algorithms that are proven to work for industrial applications. It also teaches you how to debug and validate CEM codes. All Prof. Davidson's industrial and commercial perspectives are hard to find in other CEM textbooks. ... Read more

Product Description
The boundary element method (BEM), also known as the boundary integral equation method (BIEM), is a modern numerical technique which has enjoyed increasing popularity over the past two decades. It is now an established alternative to traditional computational methods of engineering analysis. The main advantage of the BEM is its unique ability to provide a complete solution in terms of boundary values only, with substantial savings in modeling effort. This book is designed to provide readers with a comprehensive and up-to-date account of the method and its application to problems in engineering and science. Each chapter provides a brief description of historical development, followed by basic theory, derivation and examples. ... Read more

Product Description

Describes most popular computational methods used to solve problems in electromagnetics

Matlab code is included throughout, so that the reader can implement the various techniques discussed

Exercises included

Customer Reviews (1)

Review of "Computational Electromagnetics"
This is an excellent introduction to the field of computational electromagnetics, from a reasonably mathematical perspective - but in a very readable form, well suited to electronic engineers. It's obviously a book on a specialist topic; assuming you want to understand the mathematics behind finite approximations of Maxwell's equations (FEM, FDTD, Mom) - at least at introductory level - this is certainly one of the best to start with. As the authors state, although there are a number of books covering one of these methods in detail, only a couple of others (in particular, those by Sadiku, and myself) -and of course this text - cover all three of these methods. Strongly recommended. ... Read more

Product Description

Nuclear engineering has undergone extensive progress over the years. In the past century, colossal developments have been made and with specific reference to the mathematical theory and computational science underlying this discipline, advances in areas such as high-order discretization methods, Krylov Methods and Iteration Acceleration have steadily grown.

Nuclear Computational Science: A Century in Review addresses these topics and many more; topics which hold special ties to the first half of the century, and topics focused around the unique combination of nuclear engineering, computational science and mathematical theory. Comprising eight chapters, Nuclear Computational Science: A Century in Review incorporates a number of carefully selected issues representing a variety of problems, providing the reader with a wealth of information in both a clear and concise manner. The comprehensive nature of the coverage and the stature of the contributing authors combine to make this a unique landmark publication.

Targeting the medium to advanced level academic, this book will appeal to researchers and students with an interest in the progression of mathematical theory and its application to nuclear computational science.

Product Description
This book considers recent developments in numerical error estimation and adaptive discretization for finite element and finite volume methods with particular attention given to discretization methods used frequently in computational fluid dynamics. The volume consists of six detailed articles by leading specialists covering a range of topics including a posteriori error estimation of functionals, one- and two-sided error bounds, error indicators for ad aptivity, and nd geometrical aspects of adaptive mesh refinement. This book should be of interest to readers actively working in the field as well as readers seeking a comprehensive introduction to the topic. ... Read more

Product Description

The focus of this book deals with a cross cutting issue affecting all transport disciplines, whether it be photon, neutron, charged particle or neutrino transport. That is, verification and validation (V&V). In other words, are the equations being solved correctly and are the correct equations being solved? Verification and validation assures a scientist, engineer or mathematician that a simulation code is a mirror of reality and not just an expensive computer game. In this book, we will learn what the astrophysicist, atmospheric scientist, mathematician or nuclear engineer do to assess the accuracy of their code. What convergence studies, what error analysis, what problems do each field use to benchmark ascertain the accuracy of their transport simulations. Is there a need for new benchmark problems? Are there experiments that can be used to help validate the simulation results? If not, are there new experiments that could address these issues? These are all questions raised in this proceedings of the Second Computational Methods in Transport Workshop.

Customer Reviews (1)

Up to the point
This survey precludes a solid dive in to the world of analysis, yet manages to maitain an overview to this vast field. The chapter 1 summaries on BASIC and FORTRAN(-an excellent language for the engineering domain-) are particularly concise and welcome. It's a standard text, but one that excells on certain areas. ... Read more

Product Description

Domain decomposition methods are divide and conquer computational methods for the parallel solution of partial differential equations of elliptic or parabolic type. The methodology includes iterative algorithms, and techniques for non-matching grid discretizations and heterogeneous approximations. This book serves as a matrix oriented introduction to domain decomposition methodology. The topics discussed include hybrid formulations, Schwarz, substructuring and Lagrange multiplier methods for elliptic equations, computational issues, least squares-control methods, multilevel methods, non-self adjoint problems, parabolic equations, saddle point applications (Stokes, porous media and optimal control), non-matching grid discretizations, heterogeneous models, fictitious domain methods, variational inequalities, maximum norm theory, eigenvalue problems, optimization problems and the Helmholtz scattering problem. Selected convergence theory is also included.

Product Description
This book treats the numerical analysis of finite element computational fluid dynamics. Assuming minimal background, the text covers finite element methods; the derivation, behavior, analysis, and numerical analysis of Navier Stokes equations; and turbulence and turbulence models used in simulations. Each chapter on theory is followed by a numerical analysis chapter that expands on the theory. The chapters contain numerous exercises.

Introduction to the Numerical Analysis of Incompressible Viscous Flows provides the foundation for understanding the interconnection of the physics, mathematics, and numerics of the incompressible case, which is essential for progressing to the more complex flows not addressed in this book (e.g., viscoelasticity, plasmas, compressible flows, coating flows, flows of mixtures of fluids, and bubbly flows). With mathematical rigor and physical clarity, the book progresses from the mathematical preliminaries of energy and stress to finite element computational fluid dynamics in a format manageable in one semester.

Audience: This unified treatment of fluid mechanics, analysis, and numerical analysis is intended for graduate students in mathematics, engineering, physics, and the sciences who are interested in understanding the foundations of methods commonly used for flow simulations. ... Read more

Product Description
This textbook provides an introduction to dynamic modeling in cell biology, emphasizing computational approaches based on realistic molecular mechanisms. It is designed to introduce cell biology and neuroscience students to computational modeling, and applied mathematics students, theoretical biologists, and engineers to many of the problems in dynamical cell biology. This volume was conceived of and begun by Professor Joel Keizer based on his many years of teaching and research together with his colleagues. The project was expanded and finished by his students and friends after his untimely death in 1999.

Carefully selected examples are used to motivate the concepts and techniques of computational cell biology, through a progression of increasingly more complex and demanding cases. Illustrative exercises are included with every chapter, and mathematical and computational appendices are provided for reference. This textbook will be useful for advanced undergraduate and graduate theoretical biologists, and for mathematics students and life scientists who wish to learn about modeling in cell biology.

Royalties from this book will be donated to the Joel E. Keizer memorial endowment for collaborative interdisciplinary research in the life sciences. ... Read more

Customer Reviews (1)

An excellent overview
As a field of applied mathematics, computational biology has exploded in the last decade, and shows every sign of increasing in the next. This book overviews a few of the topics in the computational modeling of cells. I only read chapters 12 and 13 on molecular motors, and so my review will be confined to these.

Nanotechnology could be described as an up-and-coming field, but in the natural world one can find examples of this technology that surpass greatly what has been accomplished by human engineers. The authors begin their articles with a few examples of natural molecular machines, including the "rotary motors" DNA helicase and bacteriophage, and the "linear motor" kinesin, the latter they refer to as a "walking enzyme". Important in the modeling of all these is the theory of stochastic processes in the guise of Brownian motion, which the authors hold is the key to understanding the mechanics of proteins. In chapter 12 they give a detailed overview of the mathematical modeling of protein dynamics, followed in chapter 13 by an illustration of the mathematical formalism in the bacterial flagellar motor, a polymerization ratchet, and a motor governing ATP synthase.

To the authors a molecular motor is an entity that converts chemical energy into mechanical force. The production of mechanical force though may involve intermediate steps of energy transduction, all these involving the release of free energy during binding events. But due to their size, molecular motors are subjected to thermal fluctuations, and thus to model their motion accurately requires the theory of stochastic processes. Thus the authors begin a study of stochastic processes, restricting their attention to ones that satisfy the Markov property. Starting with a discrete model of protein motion as a simple random walk, the authors show that the variance of the motion grows linearly with time, which is a sign of diffusive motion. The partial differential equation satisfied by the probability distribution function, in the continuous limit where the space and time scales are large enough, is left to the reader to derive as an exercise.

The authors then consider polymer growth as another example of a stochastic process, a kind of hybrid one in that it involves both discrete and continuous random variables, the position of the polymer being continuous, while the number of monomers in the polymer is discrete. The authors derive an ordinary differential equation for the probability of there being exactly n polymers at a particular time. From this they show how to obtain sample paths for polymer growth and give a brief discussion on the statistics of polymer growth.

Attention is then turned to the modeling of molecular motions, with the first example being the Brownian motion of proteins in aqueous solutions. The (stochastic) Langevin equation is given for the motion of the protein, both with and without an external force acting on the protein. To find a numerical solution of this equation is straightforward, as the authors show. But they caution however that simulation of this solution on a computer is liable to introduce spurious results, and so they derive the Smoluchowski model, a somewhat different way of looking at random motion via the evolution of ensembles of paths. In this formulation the Brownian force is replaced by a diffusion term, and the external force is modeled by a drift term.

The authors then consider the modeling of chemical reactions, which supply the energy to the molecular motors. Because of the time scales involved in these reactions, a correct treatment of them would involve quantum mechanics, but the authors use the Smoluchowski model. The simple reaction model they consider involves a positive ion binding to negatively charged amino acid, and using as reaction coordinate the distance between the ion and the amino acid, study the free energy change as a function of the reaction coordinate.

The numerical simulation of the protein motion is then considered in much greater detail, using an algorithm that preserves detailed balance. This involves converting the problem to a Markov chain and a consideration of the boundary conditions, which the authors do for the case of periodic, reflecting, and absorbing. Euler's method is used to solve the resulting equations for the Markov chain, and after dealing with issues of stability and accuracy, the Crank-Nicolson method is used. The last few sections of the chapter are devoted to the physics of these solutions and the authors give some intuitive feel for the entropic factors and energy balance on a protein motor.

In the last chapter of the book, the considerations in chapter 12 are applied to concrete molecular motors. The first one examined is a model for switching in a bacterial flagellar motor, which involves the protein CheY as a signaling pathway. The binding of CheY to the motor is modeled as a two-state process, with the binding site being either empty or occupied. The resulting set of coupled differential equations for the probabilities is solved for when the concentration of CheY is constant. An expression for the change in free energy is obtained, and the authors give a discussion of the physics in the light of what was done in the last chapter. The switching rate is computed, along with the mean first passage time.

Some other examples of molecular motors are also discussed, including the flashing racket, the polymerization ratchet, and a simplified model of the ion-driven F0 motor of ATP synthase. This latter motor is fascinating, since it describes the electrochemical energy involved in mitochondria for the production of ATP. The authors do a nice job of showing how the techniques of chapter 12 are used to solve this model, and also give an analytical solution for a certain limiting case. ... Read more

Product Description

Experimental protein engineering and computational protein design are broad but complementary strategies for developing proteins with altered or novel structural properties and biological functions. By describing cutting-edge advances in both of these fields, Protein Engineering and Design aims to cultivate a synergistic approach to protein science.

Experimental Protein Engineering

The first half of the book discusses experimental approaches to protein engineering and starts by describing several high-throughput screening platforms for protein engineering. Key techniques used for diversity generation are also discussed. The next few chapters present examples of therapeutics, enzymes, biomaterials, and other proteins that have been engineered by rational or combinatorial approaches. The section finishes with a chapter on the use of non-natural amino acids in protein engineering.

Computational Protein Design

The second half of the book introduces computational protein design, beginning with a chapter on computational and informatics algorithms used in protein engineering. Core components of computational protein design are then discussed in detail, and examples of heuristic protein design are provided. Subsequent chapters present examples of how computational design has played a critical role in advancing the field of protein engineering. Concluding with a chapter outlining current challenges in the field, this book makes computational protein design and diversity-oriented protein engineering widely accessible to a broad audience in academia and industry alike.

Product Description

Power system reliability is the focus of intensive study due to its critical role in providing energy supply to modern society. This comprehensive book describes application of some new specific techniques: universal generating function method and its combination with Monte Carlo simulation and with random processes methods, Semi-Markov and Markov reward models and genetic algorithm. The book can be considered as complementary to power system reliability textbooks.

Product Description
Provides a comprehensive overview of Scilab's utilization including integrated graphics, incorporation of user-provided functions, and a tour of its numerous and powerful applications toolboxes. DLC: Engineering--Computer programs. ... Read more

Customer Reviews (3)

Very good introduction to Scilab
Yes, Scilab has very good help system. But you have to start somehow. If you know Matlab already, you will have no problems with Scilab. If you don't know Matlab, you need this book. This is the "hello, world" class book for Scilab, describes basic programming constructs as well asmethods for building programs using Scilab building blocks. Examples go from trivial to rather complicated and practical.

Even if you have mastered Scilab, you will neeed this book as quick reference. It is always close to my keyboard. Highly recommended!

An excellent book for scientists and engineers
The book "Engineering and Scientific Computing" in Scilab,
presents clearly the elements of the Scilab language.
A scientist with some programming background,
even elementary, can readily learn and exploit the
elegant and compact Scilab scientific programming
environment.
However, the strongest point of the book is its tutorial
value. The reader can through the Scilab tool,
improve the knowledge of important signal processing topics,
exploit algorithms for the numerical solution of ODEs and
tackle with optimization problems. Furthermore, the book contains
excellent material on SCICOS (the dynamical system builder
that accompanies Scilab) and a lot of applications.
The CD that is included with the book is also very helpful.
The presented scientific applications are aimed mainly
to the advanced scientists and engineers, although a large part
can be utilized and by undergraduate students of an intermediate
level.
In summary, I liked and enjoyed this book and I strongly
recommend it to all the scientific/engineering community.

Fine book on an excellent software
This is a good book describing an excellent free scientific Matlab-like software package available for many computing platforms. It complements well the extensive on-line help of the software and the information available on the Web.

The first three chapters gives a condensed overview of the software. I found the description of the graphics capabilities particularly useful as a reference. The next two chapters describe the use of the software for linear algebra, polynomials, linking to C and FORTRAN, and more advanced aspects. The remaining chapters concern tools and applications mainly of a system oriented nature. The tools are generally of a very high quality and accuracy, but of course slower than in compiled languages.

The book would have been been even more useful if it included more information on how to customize the software and a more comprehensive index. Also, the linking to C and FORTRAN routines does not appear to be completely simple. ... Read more

Product Description
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

Product Description
Features an integrated treatment of nonlinear control and analytical mechanics and a set of symbolic computing software tools for modeling and control system design. The CD-ROM contains e extensive examples using Mathematica notebooks and programs. DLC: Automatic Control. ... Read more

Customer Reviews (1)

Dr.
Nonlinear Control and Analytical Mechanics is an excellentmasterpiece that has been written by experienced researchers and educators. In a little over 200 pages, the authors havesummarized all the developments in nonlinear control and analyitical mechanics in the past 50 years. The most important theme in the book is the emphasis that it places on the relationship between control and mechanics through the calculus of variations, and which is often missed by many books on the subject.

The book begins with a lucid approach to modelling of mechanicalsystems as the first step to control; lays the fundamental principles to analytical mechanics, namely, the Newtonian appraoch, and then the Lagrangian and Hamiltonian approaches; then develops the necessary mathematical tools for analysis and design, which include: the necessary background material of advanced calculus, to the concept of differentible manifolds and vector bundles, and ends with concepts of stability and differentiable dynamics.

The book then introduces nonlinear control systems on differentiable manifolds using local coordinates on R^n; then discuss basic Lyapunov stability theory and advanced stability concepts; then discusses the problem of feedbacklinearization and equivalence to a linear system; then discusses stabilization and adaptive control ;and ends withvariable structure control systems.

The book has been expertly written and will be highly valuable as reference book to practicing engineers and graduate students of electrical andmechanical engineering interested in nonlinear control and its application in various systems such as aircraft control, robotics and automotive and chemical industries. ... Read more

Product Description
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

Product Description

Product Description
This text focuses on the topics which are an essential part of the engineering mathematics course:ordinary differential equations, vector calculus, linear algebra and partial differential equations. Advantages over competing texts: 1. The text has a large number of examples and problems - a typical section having 25 quality problems directly related to the text. 2. The authors use a practical engineering approach based upon solving equations. All ideas and definitions are introduced from this basic viewpoint, which allows engineers in their second year to understand concepts that would otherwise be impossibly abstract. Partial differential equations are introduced in an engineering and science context based upon modelling of physical problems. A strength of the manuscript is the vast number of applications to real-world problems, each treated completely and in sufficient depth to be self-contained. 3. Numerical analysis is introduced in the manuscript at a completely elementary calculus level. In fact, numerics are advertised as just an extension of the calculus and used generally as enrichment, to help communicate the role of mathematics in engineering applications. 4.The authors have used and updated the book as a course text over a 10 year period. 5. Modern outline, as contrasted to the outdated outline by Kreysig and Wylie. 6. This is now a one year course. The text is shorter and more readable than the current reference type manuals published all at around 1300-1500 pages. ... Read more

Product Description
Fire and combustion presents a significant engineering challenge to mechanical, civil and dedicated fire engineers, as well as specialists in the process and chemical, safety, buildings and structural fields. We are reminded of the tragic outcomes of 'untenable' fire disasters such as at King's Cross underground station orSwitzerland's St Gotthard tunnel. In these and many other cases, computational fluid dynamics (CFD) is at the forefront of active research into unravelling the probable causes of fires and helping to design structures and systems to ensure that they are less likely in the future.

Computational fluid dynamics (CFD) is routinely used as an analysis tool in fire and combustion engineering as it possesses the ability to handle the complex geometries and characteristics of combustion and fire. This book shows engineering students and professionals how to understand and use this powerful tool in the study of combustion processes, and in the engineering of safer or more fire resistant (or conversely, more fire-efficient) structures.

No other book is dedicated to computer-based fire dynamics tools and systems. It is supported by a rigorous pedagogy, including worked examples to illustrate the capabilities of different models, an introduction to the essential aspects of fire physics, examination and self-test exercises, fully worked solutions and a suite of accompanying software for use in industry standard modeling systems.

· Computational Fluid Dynamics (CFD) is widely used in engineering analysis; this is the only book dedicated to CFD modeling analysis in fire and combustion engineering
· Strong pedagogic features mean this book can be used as a text for graduate level mechanical, civil, structural and fire engineering courses, while its coverage of the latest techniques and industry standard software make it an important reference for researchers and professional engineers in the mechanical and structural sectors, and by fire engineers, safety consultants and regulators
· Strong author team (CUHK is a recognized centre of excellence in fire eng) deliver an expert package for students and professionals, showing both theory and applications. Accompanied by CFD modeling code and ready to use simulations to run in industry-standard ANSYS-CFX and Fluent software. ... Read more

Customer Reviews (1)

Book Review
The book cover the CFD application to Fire Engineering.
Good graphic view, the first chapt. are quite generical, looking as a first introduction to Fire Safety Engineering as (now) classical books by Prof.Drysdale or Prof.Quintiere.
I was looking for a more close (and pratical) approach to CFD modellation as well as bifasical flows from jets,no low Mach number flows, with a core-book referred to most diffused CFD software.
Also, it's important to considerate the very fast evolution of new CFD software releases related to the validation of resultsfrom an "obsolete" software version (see NIST FDS freeware package)


a good book as general review, but not a CFD fire safety engineering toolbox/Handbook
Dr Ing V.Puccia

... Read more