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:
- 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
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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.
Average customer rating:
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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:
- Undergrad Numerical Method Textbook
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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:
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Parallel-Vector Equation Solvers for Finite Element Engineering
Duc Thai Nguyen
Manufacturer: Springer
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ASIN: 0306466406 |
Book Description
Despite the ample number of articles on parallel-vector computational algorithms published over the last 20 years, there is a lack of texts in the field customized for senior undergraduate and graduate engineering research.
Parallel-Vector Equation Solvers for Finite
Element Engineering Applications aims to fill this gap, detailing both the theoretical development and important implementations of equation-solution algorithms. The mathematical background necessary to understand their inception balances well with descriptions of their practical uses. Illustrated with a number of state-of-the-art FORTRAN codes developed as examples for the book, Dr. Nguyen's text is a perfect choice for instructors and researchers alike.
Average customer rating:
- Teacher & Engineer
- An excellent text as either an introduction or a reference
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Numerical and Analytical Methods for Scientists and Engineers, Using Mathematica
Daniel Dubin
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ASIN: 0471266108 |
Book Description
* The electronic component of the book is based on the widely used and highly praised Mathematica software package.
* Each chapter of the bookis a Mathematica notebook with links to web-based material.
* The methods are applied to a range of problems taken from physics and engineering.
* The book covers elementary and advaned numerical methods used in modern scientific computing.
Customer Reviews:
Teacher & Engineer.......2005-03-04
This book is alright if you got it for a price around $20.
An excellent text as either an introduction or a reference.......2003-10-07
This book explains how to solve a variety of useful problems in mathematical physics with Mathematica. The clear and concise presentation of material facilitates rapid advancement in the subject. In addition, many interesting physical examples and problems are included. I highly recommend this book as a text for undergraduate mathematical physics instruction.
Book Description
This book introduces numerical methods, emphasizing the practical aspects of their use and establishing their limitations, advantages and disadvantages.
It is intended to assist future as well as practicing engineers in fully understanding the fundamentals of numerical methods, most notably their application, limitations and potentials.
Customer Reviews:
Great Book.......2000-07-12
This is a very good book. The authors focus very well on the audience they are trying to commuinicate with and they have plenty of well thought out examples. The book is easy to read and has a nice selection of topics. This would make a good textbook or a nice reference. The book does lack much of the mathematical development, but that really isn't the driving force for the text. If you are interested in just the how to's and not really the why then this is a great book for you.
Average customer rating:
- Very good and helpful book for the engineer with fundamental
|
Numerical Methods for Partial Differential Equations (Computer Science and Scientific Computing)
William F. Ames
Manufacturer: Academic Press
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ASIN: 012056761X |
Book Description
This volume is designed as an introduction to the concepts of modern numerical analysis as they apply to partial differential equations. The book contains many practical problems and their solutions, but at the same time, strives to expose the pitfalls--such as overstability, consistency requirements, and the danger of extrapolation to nonlinear problems methods used on linear problems.
Numerical Methods for Partial Differential Equations, Third Edition reflects the great accomplishments that have taken place in scientific computation in the fifteen years since the Second Edition was published. This new edition is a drastic revision of the previous one, with new material on boundary elements, spectral methods, the methods of lines, and invariant methods. At the same time, the new edition retains the self-contained nature of the older version, and shares the clarity of its exposition and the integrity of its presentation.
Key Features
* Material on finite elements and finite differences have been merged, and now constitute equal partners
* Additional material has been added on boundary elements, spectral methods, the method of lines, and invariant methods
* References have been updated, and reflect the additional material
* Self-contained nature of the Second Edition has been maintained
* Very suitable for PDE courses
Customer Reviews:
Very good and helpful book for the engineer with fundamental.......2005-02-16
This book is very detail on how to generate numerical methods for partial differential equations. Staring from basics, the author proceeds with detailed examples and more complicated ideas. This is book will be very helpful for the people having basic computational knowledge and scientific computing experience.
But the book is written in 1977. Some difficult ideas will be easier to be implemented on large scale computers such as Linux clusters or SGI machines. I also found one small shortcoming is that the problem complexity is not detailed discussed. This will be very important now for comparing different algorithms to accomplish the same problem.
Customer Reviews:
Excellente undergraduate tutorial.......2003-10-03
I used this book during my masters degree and I must say that it really helped me in building my own programs from scratch or modifying those of others'. The person who reads this book need not have previous knowledge of any programming language. I enjoyed it very much and took with great enthusiasm the well-selected examples, showing how ti apply Fortran for specific problems. A real achievement this book.
Books:
- Applied Numerical Methods with MATLAB for Engineers and Scientists
- Applied Numerical Methods with MATLAB for Engineers and Scientists
- Approximation Algorithms
- Biological Science (2nd Edition)
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- Calculus
- Catastrophe: An Investigation into the Origins of Modern Civilization
- 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)
- Computational Electrodynamics: The Finite-Difference Time-Domain Method, Third Edition
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