Book Description
Still brief - but with the chapters that you wanted - Steven Chapra’s new second edition is written for engineers and scientists who want to learn numerical problem solving. This text focuses on problem-solving (applications) rather than theory, using MATLAB, and is intended for Numerical Methods users; hence theory is included only to inform key concepts. The new second edition feature new material such as Numerical Differentiation and ODE's: Boundary-Value Problems.
Book Description
Learn to fully harness the power of Microsoft Excel® to perform scientific and engineering calculations
With this text as your guide, you can significantly enhance Microsoft Excel's® capabilities to execute the calculations needed to solve a variety of chemical, biochemical, physical, engineering, biological, and medicinal problems. The text begins with two chapters that introduce you to Excel's Visual Basic for Applications (VBA) programming language, which allows you to expand Excel's® capabilities, although you can still use the text without learning VBA. Following the author's step-by-step instructions, here are just a few of the calculations you learn to perform:
- Use worksheet functions to work with matrices
- Find roots of equations and solve systems of simultaneous equations
- Solve ordinary differential equations and partial differential equations
- Perform linear and non-linear regression
- Use random numbers and the Monte Carlo method
This text is loaded with examples ranging from very basic to highly sophisticated solutions. More than 100 end-of-chapter problems help you test and put your knowledge to practice solving real-world problems. Answers and explanatory notes for most of the problems are provided in an appendix.
The CD-ROM that accompanies this text provides several useful features:
- All the spreadsheets, charts, and VBA code needed to perform the examples from the text
- Solutions to most of the end-of-chapter problems
- An add-in workbook with more than twenty custom functions
This text does not require any background in programming, so it is suitable for both undergraduate and graduate courses. Moreover, practitioners in science and engineering will find that this guide saves hours of time by enabling them to perform most of their calculations with one familiar spreadsheet package
Average customer rating:
- Okay for a text
- Useful Book
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Introduction to Numerical Methods and MATLAB: Implementations and Applications
Gerald W. Recktenwald , and
Gerald Recktenwald
Manufacturer: Prentice Hall
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ASIN: 0201308606 |
Book Description
From the Back Cover: The outstanding pedagogical features of this book are: o use of numerical experiments as a means of learning
why numerical methods work and how they fail; o a separate chapter reviewing the basics of applied
linear algebra, and how computations involving
matrices and vectors are naturally expressed in MATLAB; o use of a range of examples from those that provide a
succinct illustration of a basic algorithm, to those
that develop solutions to substantial problems in
engineering; o consistent use of well-documented and structured code
written in the MATLAB idiom; o a library of general purpose routines—-the NMM
Toolbox-—that are readily applied to new problems; o a progressive approach to algorithm development
leading the reader to an understanding of the more
sophisticated routines in the built-in MATLAB toolbox.
Customer Reviews:
Okay for a text.......2006-03-18
This book is okay for a text book, however there arent many examples, and the examples that are there are very simple. There are solutions for some problems online, though most of them are very basic and don't help very much.
Useful Book.......2004-08-28
This is a nice book for scientists and engineers. There are MATLAB programs already written that you can download from the webpage very easily, and modify for your specific use. I am no programmer, so having programs I can easily modify is a plus. This is meant to only be a review of linear algebra, so if you are trying to learn that subject, you will probably need to supplement this text with another book. This is not terribly in-depth on the MATLAB either. But it is a very useful handbook of plotting and interpolation methods, and how to choose the best methods for your particular set of data.
Average customer rating:
- As a textbook?
- Chech out paper back international edition. Cheeper and same contents.
- Numerical Methods made easy
- A excellent book ruined by clutter
- Excellent Reference for Numerical Algorithms Programming
|
Numerical Methods for Engineers: With Software and Programming Applications
Steven C. Chapra , and
Raymond Canale
Manufacturer: McGraw-Hill Science/Engineering/Math
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ASIN: 0072431938 |
Book Description
*Retaining its comprehensive yet accessible and user-friendly style, this edition incorporates new examples and techniques *Includes excellent applications sections with a variety of engineering problems *contains software-based examples and engineering-oriented problems
Customer Reviews:
As a textbook?.......2006-10-26
I've noticed several reviewers have benifited from this book as a reference for algorithms in specific topics, which is something the book is really good at in my opinion.
However, we studied the book as a junior level textbook in numerical methods and went into many problems in doing so. Although the motiviation is well, the presentation is not. For example, the parts on Fourier Approximation (Chapter 19), and Finite Difference: Elliptic Equations (Chapter 29) really do require good background knowledge on behalf of the reader, and the authors sometimes rush into the approximation techniques with hardly any explination of the underlying logic.
For undergraduate students, I don't believe this book is good for self-teaching. More elaboration is needed in the derivations of the nemurical techniques, and without that, many of us were lost when it came to homeworks and computer projects.
On the bright side, The graphs are excellent , and the book covers a very wide range of topics and presents many codes and worked out examples.
Chech out paper back international edition. Cheeper and same contents........2006-08-16
Type in search the authers name, Steven C. Chapra, and it will give a list of the books by him. you get the same edition but international in english same figures everything.
Numerical Methods made easy.......2006-02-11
I bought this book a little while ago to get more familiar with interpolation which I need to use in some of the signal analysis software that I write. As I was reading through the book I suddenly realized the overall usefulness of numerical methods in general. It has helped me code up routines for solving matrices and interpolation algorithms. After reading this book I really can not understand how courses in linear algebra and differential equations can be taught without extensive use of numerical methods.
This book has really opened my eyes to a whole new way of solving engineering problems.
Andy (andys@d2d.com)
A excellent book ruined by clutter.......2006-02-05
The basic content of the book is excellent. However, in trying to cover different packages and/or languages the book loses its charm.
This book is a glaring example of how an otherwise excellent textbook can be ruined by clutter. If the authors had stayed with Fortran/C or Matlab (but not both) and provided more of ready made programs or subroutines, it would be a lot more useful.
Excellent Reference for Numerical Algorithms Programming.......2006-02-01
If you are a programmer who must work with calculation intensive algorithms, you will need a book such as this. The chapters are well written and cover many subjects which are easily forgotten when not used often. The section explaining the difference between precision and accuracy is quite good.
Also worthy of personal praise is the suggestion that piecemeal cubic spline approximations more accurately reflect abrupt (zonal) shifts in the data, better than do higher order polynomical approximations.
The book seems to cover most of the subjects that a non-specialist programmer might need, when confronted with a numerical methods prospect. Topics include: matrix reduction, numerical differentiation and integration, truncated series approximations, curve fitting and fast fourier transforms to name a few. It also deals extensively with the nitty-gritty of computing, from bits, bytes and numerical representations; to MatLab, MathCAD, and Fortran.
Book Description
Monte Carlo methods are revolutionizing the on-line analysis of data in fields as diverse as financial modeling, target tracking and computer vision. These methods, appearing under the names of bootstrap filters, condensation, optimal Monte Carlo filters, particle filters and survival of the fittest, have made it possible to solve numerically many complex, non-standard problems that were previously intractable. This book presents the first comprehensive treatment of these techniques, including convergence results and applications to tracking, guidance, automated target recognition, aircraft navigation, robot navigation, econometrics, financial modeling, neural networks, optimal control, optimal filtering, communications, reinforcement learning, signal enhancement, model averaging and selection, computer vision, semiconductor design, population biology, dynamic Bayesian networks, and time series analysis. This will be of great value to students, researchers and practitioners, who have some basic knowledge of probability. Arnaud Doucet received the Ph. D. degree from the University of Paris-XI Orsay in 1997. From 1998 to 2000, he conducted research at the Signal Processing Group of Cambridge University, UK. He is currently an assistant professor at the Department of Electrical Engineering of Melbourne University, Australia. His research interests include Bayesian statistics, dynamic models and Monte Carlo methods. Nando de Freitas obtained a Ph.D. degree in information engineering from Cambridge University in 1999. He is presently a research associate with the artificial intelligence group of the University of California at Berkeley. His main research interests are in Bayesian statistics and the application of on-line and batch Monte Carlo methods to machine learning. Neil Gordon obtained a Ph.D. in Statistics from Imperial College, University of London in 1993. He is with the Pattern and Information Processing group at the Defence Evaluation and Research Agency in the United Kingdom. His research interests are in time series, statistical data analysis, and pattern recognition with a particular emphasis on target tracking and missile guidance.
Average customer rating:
|
Applied Numerical Methods for Engineers Using MATLAB and C
Robert J. Schilling , and
Sandra L Harris
Manufacturer: Cengage-Engineering
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Object-Oriented Design and Patterns
ASIN: 0534370144 |
Book Description
This book provides a comprehensive discussion of numerical computing techniques with an emphasis on practical applications in the fields of civil, chemical, electrical, and mechanical engineering. It features two software libraries that implement the algorithms developed in the text - a MATLAB® toolbox, and an ANSI C library. This book is intended for undergraduate students. Each chapter includes detailed case study examples from the four engineering fields with complete solutions provided in MATLAB® and C, detailed objectives, numerous worked-out examples and illustrations, and summaries comparing the numerical techniques. Chapter problems are divided into separate analysis and computation sections. Documentation for the software is provided in text appendixes that also include a helpful review of vectors and matrices. The Instructor's Manual includes a disk with software documentation and complete solutions to both problems and examples in the book.
Average customer rating:
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Stability and Transition: Theory and Application: Efficient Numerical Methods with Computer Programs
Tuncer Cebeci
Manufacturer: Springer
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ASIN: 3540201602 |
Book Description
Cebeci addresses transition from laminar to turbulent flows and considers solutions, mainly with the help of the linear stability theory and the ways in which it can be implemented accurately by numerical procedures. The main concern is transition of wall boundary layers, although one chapter is devoted to an approach based on the Navier-Stokes equations. The first three chapters summarize physical knowledge of the transition process, consider the stability equations and methods for predicting transition by linear stability theory, and describe efficient and accurate numerical methods for the solution of stability equations. Chapters 4 to 7 describe computer programs based on stability-theory approach to identify the location of transition in two- and three-dimensional incompressible and compressible flows, respectively, and Chapter 7 describes a computer program within the framework of parabolized stability equations. These programs are provided on an accompanying CD-ROM.
Average customer rating:
- Undergrad Numerical Method Textbook
|
Numerical Methods in Engineering with Python
Jaan Kiusalaas
Manufacturer: Cambridge University Press
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ASIN: 0521852870 |
Book Description
Numerical Methods in Engineering with Python is a text for engineering students and a reference for practicing engineers, especially those who wish to explore the power and efficiency of Python. Examples and applications were chosen for their relevance to real world problems, and where numerical solutions are most efficient. Numerical methods are discussed thoroughly and illustrated with problems involving both hand computation and programming. Computer code accompanies each method and is available on the book web site. This code is made simple and easy to understand by avoiding complex bookkeeping schemes, while maintaining the essential features of the method. Python was chosen as the example language because it is elegant, easy to learn and debug, and its facilities for handling arrays are unsurpassed. Moreover, it is an open-source software package; free and available to all students and engineers. Explore numerical methods with Python, a great language for teaching scientific computation.
Download Description
Numerical Methods in Engineering with Python is a text for engineering students and a reference for practicing engineers, especially those who wish to explore the power and efficiency of Python. Examples and applications were chosen for their relevance to real world problems, and where numerical solutions are most efficient. Numerical methods are discussed thoroughly and illustrated with problems involving both hand computation and programming. Computer code accompanies each method and is available on the book web site. This code is made simple and easy to understand by avoiding complex bookkeeping schemes, while maintaining the essential features of the method. Python was chosen as the example language because it is elegant, easy to learn and debug, and its facilities for handling arrays are unsurpassed. Moreover, it is an open-source software package; free and available to all students and engineers. Explore numerical methods with Python, a great language for teaching scientific computation.
Customer Reviews:
Undergrad Numerical Method Textbook.......2005-12-02
The content is typical of an undergraduate course in numerical methods. The author employs Python for that. It doesn't tell you how to use various modules available on the net. Instead, the author sticks to the standard few and explains numerical methods from the very basics. The book is very good for an introduction coursework. However, if you are a researcher looking for tools for serious numerical computation and thinking of using Python as an efficient and convenient organizer(or "glue") rather than a number cruncher, you might as well consult the book by H.P. Langtangen.
This book is also useful if you want to get a hang on how a textbook numerical method would work on Python. You can then use the language for a quick algorithm prototyping in your own work.
Average customer rating:
- Finite Element Analysis: Theory and Applications with ANSYS
- Worst Book Ever!!!
- I love this book!
- Fantastic intro to FEA
- Good intro, but does not go far enough
|
Finite Element Analysis Theory and Application with ANSYS (3rd Edition)
Saeed Moaveni
Manufacturer: Prentice Hall
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ASIN: 0131890808 |
Book Description
While many authors cover the theory of finite element modeling, this is the only book available that incorporates ANSYS as an integral part of its content. Moaveni presents the theory of finite element analysis, explores its application as a design/modeling tool, and explains in detail how to use ANSYS intelligently and effectively. Now uses Excel in solving simple finite element problems. Adds a significant number of new problems. Incorporates the latest version of ANSYS throughout. A useful reference for mechanical, civil and environmental engineers.
Customer Reviews:
Finite Element Analysis: Theory and Applications with ANSYS.......2007-05-06
This is a basis book for Finite Element Analysis. Also buy a book in Amazon is a fantastic guarantee of service.
Worst Book Ever!!!.......2007-05-03
We are at chapter 13 now and I now know that the book do not provide good fundamentals nor details to understand what FEA is all about. Tutorials are useless because they do not explain anything what's going on. You just must figure it out yourself. This is OK for secondary book. But don't expect to understand it without any other help. Choppy steps for the solution in the examples!
I love this book!.......2006-07-06
I can't imagine my learning process of FEA without this book. It's really good and comprenhensive. It is nice to read and it provides clear explanations to difficult topics. I believe this is a must have!
Fantastic intro to FEA.......2005-09-08
This book provides a great intro to FEA in general befor eit actually starts ANSYS Tutorial. The book is strictly for beginners .It contains very less details on Batch files ,nonlinear problems etc.
Good intro, but does not go far enough.......2000-08-09
I bought this book hoping it would make my job of developing a finite element model using ANSYS easier. But I did not learn much of anything new from this book. I was already familiar with finite element theory and also took the intro to ansys course offered by ANSYS. I had hoped that this book would go beyond what was offered by these two sources, but sadly it does not. Still, for the beginner who knows next to nothing of f.e. methods and ANSYS this is probably helpful.
Average customer rating:
|
An Introduction to Meshfree Methods and Their Programming
G.R. Liu , and
Y.T. Gu
Manufacturer: Springer
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Mesh Free Methods: Moving Beyond the Finite Element Method
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Meshfree Particle Methods
ASIN: 1402032285 |
Book Description
This book aims to present meshfree methods in a friendly and straightforward manner, so that beginners can very easily understand, comprehend, program, implement, apply and extend these methods. It provides first the fundamentals of numerical analysis that are particularly important to meshfree methods. Typical meshfree methods, such as EFG, RPIM, MLPG, LRPIM, MWS and collocation methods are then introduced systematically detailing the formulation, numerical implementation and programming. Many well-tested computer source codes developed by the authors are attached with useful descriptions. The application of the codes can be readily performed using the examples with input and output files given in table form. These codes consist of most of the basic meshfree techniques, and can be easily extended to other variations of more complex procedures of meshfree methods. Readers can easily practice with the codes provided to effective learn and comprehend the basics of meshfree methods.
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- College Algebra and Trigonometry through Modeling and Visualization (2nd Edition)
- Computability, Complexity, and Languages, Second Edition: Fundamentals of Theoretical Computer Science (Computer Science and Scientific Computing)
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