Product Description
This book is a compendium of Alok Bhargava's most important contributions in longitudinal econometric methods and its application to problems of food, nutrition and health. It demonstrates the usefulness of rigorous econometric and statistical methods in addressing issues of under-nutrition and poor child health in developing countries, as well as obesity in developed countries. ... Read more

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...a timely contribution to a field of growing importance. This carefully edited book presents a rich collection of chapters ranging from mathematical methodology to emerging applications. I recommend it to students as a rigorous and comprehensive presentation of simulation-based optimization and to researchers as an overview of recent advances and challenges in the field. Jorge Nocedal, Professor, Northwestern University.Many engineering and scientific problems in design, control, and parameter estimation can be formulated as optimization problems that are governed by partial differential equations (PDEs). The complexities of the PDEs and the requirement for rapid solution pose significant difficulties. A particularly challenging class of PDE-constrained optimization problems is characterized by the need for real-time solution, i.e., in time scales that are sufficiently rapid to support simulation-based decision making. Real-Time PDE-Constrained Optimization, the first book devoted to real-time optimization for systems governed by PDEs, focuses on new formulations, methods, and algorithms needed to facilitate real-time, PDE-constrained optimization. In addition to presenting state-of-the-art algorithms and formulations, the text illustrates these algorithms with a diverse set of applications that includes problems in the areas of aerodynamics, biology, fluid dynamics, medicine, chemical processes, homeland security, and structural dynamics. Despite difficulties, there is a pressing need to capitalize on continuing advances in computing power to develop optimization methods that will replace simple rule-based decision making with optimized decisions based on complex PDE simulations. AudienceThe book is aimed at readers who have expertise in simulation and are interested in incorporating optimization into their simulations, who have expertise in numerical optimization and are interested in adapting optimization methods to the class of infinite-dimensional ... Read more

Book Description
Modeling and simulation play an ever increasing role in the development and optimization of materials.
Computational Materials Science presents the most important approaches in this new interdisciplinary field of materials science and engineering. The reader will learn to assess which numerical method is appropriate for performing simulations at the various microstructural levels and how they can be coupled.
This book addresses graduate students and professionals in materials science and engineering as well as materials-oriented physicists and mechanical engineers. ... Read more

Customer Reviews (1)

Handy textbook
This book is one of the few texts dedicated solely to computational materials sciece; exclusive of topics in computational chemistry/physics (spectroscopy, band structure, brillouin zone scattering, diffraction, etc...).As such, their is only a brief coverage of quantum mechanics and related topics such as density functional theory, quantum Monte Carlo, Green's functions, etc... This is why I gave it four stars instead of five.With this exception, the book does a great job of covering simulations across all time/spatial scales from dislocation dynamics, finite element modeling, cellular automata, etc...

This is a perfect textbook for a senior level/graduate computational materials science classes that exclude quantum mechanics.The amount of math is enough for readers to know the important equations; but there are no tedious derivations.

The book also lists important applications and publications for each type of modeling.I would not purchase this book though because it is authored in 1998, which is ancient history compared to when I am writing this review (2004)with respect to the field of computational materials science. ... Read more

Book Description

This book presents major advances in high performance computing as well as major advances due to high performance computing. It contains a collection of papers in which results achieved in the collaboration of scientists from computer science, mathematics, physics, and mechanical engineering are presented. From the science problems to the mathematical algorithms and on to the effective implementation of these algorithms on massively parallel and cluster computers we present state-of-the-art methods and technology as well as exemplary results in these fields. This book shows that problems which seem superficially distinct become intimately connected on a computational level.

Book Description
The target audience of this book is students and researchers in computational sciences who need to develop computer codes for solving partial differential equations. The exposition is focused on numerics and software related to mathematical models in solid and fluid mechanics. The book teaches finite element methods, and basic finite difference methods from a computational point of view. The main emphasis regards development of flexible computer programs, using the numerical library Diffpack. The application of Diffpack is explained in detail for problems including model equations in applied mathematics, heat transfer, elasticity, and viscous fluid flow. Diffpack is a modern software development environment based on C++ and object-oriented programming. All the program examples, as well as a test version of Diffpack, are available for free over the Internet. The second edition contains several new applications and projects, improved explanations, correction of errors, and is up to date with Diffpack version 4.0. ... Read more

Book Description

Homology is a powerful tool used by mathematicians to study the properties of spaces and maps that are insensitive to small perturbations. This book uses a computer to develop a combinatorial computational approach to the subject. The core of the book deals with homology theory and its computation. Following this is a section containing extensions to further developments in algebraic topology, applications to computational dynamics, and applications to image processing. Included are exercises and software that can be used to compute homology groups and maps. The book will appeal to researchers and graduate students in mathematics, computer science, engineering, and nonlinear dynamics.

Product Description

Despite the apparent activity in the field, the ever increasing rate of development of new engineering materials required to meet advanced technological needs poses fresh challenges in the field of constitutive modelling. The complex behaviour of such materials demands a closer interaction between numerical analysts and material scientists in order to produce thermodynamically consistent models which provide a response in keeping with fundamental micromechanical principles and experimental observations. This necessity for collaboration is further highlighted by the continuing remarkable developments in computer hardware which makes the numerical simulation of complex deformation responses increasingly possible.

This book contains 14 invited contributions written by distinguished authors who participated in the VIII International Conference on Computational Plasticity held at CIMNE/UPC from 5-8 September 2005, Barcelona, Spain. The meeting was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences.

The different chapters of this book present recent progress and future research directions in the field of computational plasticity. A common line of many contributions is that a stronger interaction between the phenomenological and micromechanical modelling of plasticity behaviour is apparent and the use of inverse identification techniques is also more prominent. The development of adaptive strategies for plasticity problems continues to be a challenging goal, while it is interesting to note the permanence of element modelling as a research issue. Industrial forming processes, geomechanics, steel and concrete structures form the core of the applications of the different numerical methods presented in the book.

Book Description

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.

Book Description
Computational tools have been permanently deposited into the toolbox of theoretical chemists.The impact of new computational tools can hardly be overestimated, and their presence in research and applications is overwhelming.Theoretical methods such as quantum mechanics, molecular dynamics, and statistical mechanics have been successfully used to characterize chemical systems and to design new materials, drugs, and chemicals. This volume on Computational Material Sciences covers selected examples of notable applications of computational techniques to material science. The chapters contained in this volume include discussions of the phenomenon of chaos in chemistry, reaction network analysis, and mechanisms of formation of clusters. Details of more practical applications are also included in the form ofreviews of computational design of new materials and the prediction of properties and structures of well known molecular assemblies. Current developments of effective computational methods, which will help in understanding, predicting, and optimizing periodic systems, nanostructures, clusters and model surfaces are also covered in this volume.

1. Reviews of current computational methods applied in material science
2. Reviews of practical applications of modelling of structures and properties of materials
3. Cluster and periodical approaches ... Read more

Book Description

This book reports on progress in numerical methods for Lattice QCD with chiral fermions. It contains a set of pedagogical introductory articles written by experts from both the Applied Mathematics and Lattice Field Theory communities, together with detailed accounts of leading-edge algorithms for the simulation of overlap chiral fermions. Topics covered include: QCD simulations in the chiral regime; Evaluation and approximation of matrix functions; Krylov subspace methods for the iterative solution of linear systems; Eigenvalue solvers. These are complemented by a set of articles on closely related numerical and technical problems in Lattice field Theory.

Book Description

Computational Physics is now a discipline in its own right, comparable with theoretical and experimental physics. Computational Materials Science concentrates on the calculation of materials properties starting from microscopic theories. It has become a powerful tool in industrial research for designing new materials, modifying materials properties and optimizing chemical processes. This book focusses on the application of computational methods in new fields of research, such as nanotechnology, spintronics and photonics, which will provide the foundation for important technological advances in the future. Methods such as electronic structure calculations, molecular dynamics simulations and beyond are presented, the discussion extending from the basics to the latest applications.

Customer Reviews (1)

Difficult and dense
This is the most difficult book I have ever read on computational materials science.I do not recommend this book for anyone that has not previously taken classes in solid state physics, quantum mechanics, statistical mechanics, partial diff equations, linear algebra, and computer programming.

The book's title states "... From Basic Principles to Material Properties".This is a major misnomer.When I read the term basic principles, I think of Hartree-Fock, classical MD with empirical potentials, EAM, and maybe tight binding.These basic topics are not covered in this text.Instead, the book begins with a short introduction to DFT, and quickly goes into Green's functions, ab initio molecular dynamics, calculation of optical and magnetic properties, and other quite advanced topics in the field.

The text is very advanced and includes a lot of complicated equations.Trying to follow some of the equations I quickly discovered that variables were often used that were not defined; a major no-no.The language itself seems written by professors to be read by other professors.Additionally, this is a very expensive book for only 300+ pages of material.I believe this high price is to cover the occasional color figures.I would not purchase this book, unless you have several years of experience doing ab initio modeling, and wish to learn about the more difficult techniques out there. ... Read more

Book Description
Why model computationally? Because these methods allow researchers to combine the rich detail of qualitative research with the rigor of quantitative and formal research, as well as to represent complex structures and processes within a theoretical model. The authors treat computational methods, including dynamic simulation (Monte Carlo methods), knowledge-based models (semantic networks, frame systems, and rule-based systems), and machine learning (connectionism, rule induction, and genetic algorithms), as a single broad-based class of research tools and develop a framework for incorporating them within established traditions of social science research. They provide a concise description of each method and a variety of social science illustrations including four detailed examples. Common to most of these methods is a straightforward underlying approach: simulate the theory by running the program. Computational Modeling concludes with a discussion of ways to validate computational models. ... Read more

Book Description

This book is for readers with backgrounds in science engineering who have experience in computer programming but who lack a training in software engineering. The treatment is centered around a case study in software development in "e-Science'' using the Java programming language. A graphical front-end for browsing and visualising scientific waveform data is progressively refactored using important design patterns for object-oriented software. The final product is ready for porting onto the Grid. Object-oriented design patterns are taught in a real-world context which is relevant to computational science. A comprehensive CD of the case study accompanies the book.

Customer Reviews (7)

Goob book
The book is useful for those who begin studying CFD methods in heat transfer and fluid flows. It has been a standard for several years.

Excellent Introductory CFD Text
This book is a wonderful way to understand the fundamental concepts behind techniques such as the SIMPLE algorithm.Patankar begins in one dimension, expands his approach, and presents the results very clearly.His physical insights are very well presented, and his narrative style is easy to read.One may much more profitably read the recent literature in this area after having examined Patankar's text.

best fundamental CFD book, must have
This is the best CFD book I ever read !! And it should be your first CFD book too. It's easy, short, concise and correct.

It doesn't have extensive coverage or any advanced topic like most of recent CFD book get. But the way it shines is that the author (one of the founders of recent CFD field) spent that much time discussing how to discritizing and evaluating the simplest form of commonly used pde eqations and boundary conditions. No advanced math involved, it's all simple algebra.

Everytime when I start a new problem and write down the discritized eqation, I double checked it using what I learned from the book before I input it into the computer. It just worked.

There's no magic in CFD, but this book is like a magic to me.

If you want to code heat/mass transfer/fluid flow, buy this
This is extraordinarily well-written for anyone who knows a little bit about heat transfer, mass transfer, or fluid flow and wants to write a mathematical model to perform calculations in 1D, 2D or 3D.(Also works for electromagnetic equations of the same form--used it for my doctoral thesis.)It's very practically oriented, with clear explanations and good diagrams showing how the grid layout translates into code.

A fundamental book on CFD
This is one of the ground breaking texts. I purchased a copy on the recommendation of a collegue (who has worked in the field for a while) when I started in Computational Fluid Dynamics (CFD).

I found the book alittle bit difficult to get into. Having spent more time working throughCFD problems, it all now makes sense - although I would recommend beginnersto find something else more recent (such as An introduction toComputational Fluid Dynamics: The finite volume method by Versteeg &Malalasekera) that has some of the more recent developments in thefield.

It is still an invaluable reference to have on your bookshelf asit covers the fundamentals of CFD. ... Read more

Book Description
The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. Computational biology is a young field, but has seen rapid growth and advancement over the past few decades. Surveying the progress made in this multidisciplinary field, the Handbook of Computational Molecular Biology offers comprehensive, systematic coverage of the various techniques and methodologies currently available.Accomplished researcher Srinivas Aluru leads a team of experts from around the world to produce this groundbreaking, authoritative reference. With discussions ranging from fundamental concepts to practical applications, this book details the algorithms necessary to solve novel problems and manage the massive amounts of data housed in biological databases throughout the world. Divided into eight sections for convenient searching, the handbook covers methods and algorithms for sequence alignment, string data structures, sequence assembly and clustering, genome-scale computational methods in comparative genomics, evolutionary and phylogenetic trees, microarrays and gene expression analysis, computational methods in structural biology, and bioinformatics databases and data mining.The Handbook of Computational Molecular Biology is the first resource to integrate coverage of the broad spectrum of topics in computational biology and bioinformatics. It supplies a quick-reference guide for easy implementation and provides a strong foundation for future discoveries in the field. ... Read more

Customer Reviews (2)

Written by Leading Researchers
Computational is a new and rapidly changing field as new research and techniques are being developed on an almost daily basis. It is to the credit of the author and publisher that they have been able to put together such a complete and well organized handbook this early.

Clearly this field is not ready for a standard text to have been developed, indeed it is clearly too much for even one writer. Instead, the editor calls this 'truly a community effort, with the chapters authored by leading researchers widely recognized for their research contributions and expertise.'

In all there are 38 specific chapters organized into eight major parts. The parts are: Sequence Alignments, String Data Strctures, Genome Assembly and EST Clustering, Genome-Scale Computational Methods, Microarrays and Gene Expression Analysis, Computatinal Structural biology, Bioinformatic Databases and Data Mining. The authors represent a who's who of the major American research establishments as well as from Germany, Italy, Russia, Canada, Japan, Isreal, and India.

The book could be used as a text but is probably more useful to the researcher looking for either an introduction to the field in general or go learn about areas outside his particular area of expertise.

The encyclopedia
Bioinformatics is too big a field to cover in one book, but this thousand-pager comes close. Its 38 chapters give good summaries of just about every major topic in bioinformatics. Since the table of contents isn't visible here (as of this writing), I'll list the major headings into which the chapters are divided:
* Sequence alignments
* String data structures
* Genome assmebly and EST clustering
* Genome-scale computational methods
* Phylogenetics
* Microarrays and expression analysis
* Computational structural biology
* Bioinformatic databases and data mining

A few things are missing, such as RNA structure prediction and mass spec analysis of proteins. Regulatory networks get only brief mention, perhaps because the topic is still too researchy for any body of accepted practice. These are quibbles, though. The book does a very good job of providing brief surveys of many topics, with an extensive bibliography at the end of each chapter.

This doesn't replace other books that examine specific topics in greater depth. Instead, it provides quick surveys of many topics, and lots of pointers for further information. For the subjects it covers, it's a great starting point.

//wiredweird ... Read more

Book Description
This book concerns programming techniques like object-oriented programming and generic (template) programming. These modern techniques have proven to increase flexibility, modularization, code reuse and improve maintenance of large numerical codes. The book contains 11 refereed and comprehensive chapters on major subjects in computational science and engineering: quality measurement of numerical software, high-performance numerical computations with C++ without sacrificing efficiency, a balanced discussion of Java in scientific computing, object-oriented design of direct sparse solvers, geometric kernels in geographical information systems, and tools for error estimation in finite element methods, tools for validating computational results, and how to simplify the implementation of highly complex mathematical model for material processing. ... Read more

Book Description

Is a human being a person or a machine? Is the mind a social construction or a formal device? It is both, William Frawley tells us, and by bringing together Vygotsky's sociocultural theory of the mind and cognitive science's computational model, he shows us how this not only can but must be. To do so, Frawley focuses on language, particularly on how the computational mind uses language to mediate the internal and the external during thought. By reconciling the linguistic device and the linguistic person, he argues for a Vygotskyan cognitive science.

Frawley begins by exploding the internalist/externalist dichotomy that presently drives cognitive science and falsely pits computationalism against socioculturalism. He replaces the reigning Platonic paradigm of computational mind-science with a framework based on an unusual, unified account of Wittgenstein, thus setting the stage for a Vygotskyan cognitive science centered on three aspects of mind: subjectivity, real-time operation, and breakdown. In this context, he demonstrates how computational psychology accommodates a critical aspect of Vygotskyan theory--private speech--as the mind's metacomputational regulator. An examination of certain congenital disorders (such as Williams Syndrome, Turner Syndrome, and autism) that disrupt speech further clarifies the issue of computational and cognitive control.

Customer Reviews (1)

An in-depth exploration of language and the mind.
In this book, Frawley links Vygotsky's sociocultural theory of the mind with the computational mind in cognitive science.He presents an in-depth exploration of the development of linguistics and how it relates to thenature of the mind. He explains that we not only have a language ofthought, but also a language for thought. This book is designed tochallenge our beliefs on thinking, not to give easy answers. ... Read more

Book Description

In August 2003, ETHZ Computational Laboratory (CoLab), together with the Swiss Center for Scientific Computing in Manno and the Università della Svizzera Italiana (USI), organized the Summer School in "Multiscale Modelling and Simulation" in Lugano, Switzerland. This summer school brought together experts in different disciplines to exchange ideas on how to link methodologies on different scales. Relevant examples of practical interest include: structural analysis of materials, flow through porous media, turbulent transport in high Reynolds number flows, large-scale molecular dynamic simulations, ab-initio physics and chemistry, and a multitude of others. Though multiple scale models are not new, the topic has recently taken on a new sense of urgency. A number of hybrid approaches are now created in which ideas coming from distinct disciplines or modelling approaches are unified to produce new and computationally efficient techniques.

Book Description

The four-volume set LNCS 3480-3483 constitutes the refereed proceedings of the International Conference on Computational Science and Its Applications, ICCSA 2005, held in Singapore in May 2005.

Book Description
Studying heat transfer through computational methods is increasing in importance, and this volume is right in step with the times! It presents the fundamentals for computational work and offers a wide range of methods useful with basic processes and applied problems of heat transfer and fluid flow. Computational Heat Transfer, Second edition, begins with an important discussion of the mathematics crucial to this field. The text progresses to coverage of various applications...combined modes and process applications. Appendixes provide both sample computer programs and useful material properties. ... Read more