Emphasizing the finite difference approach for solving differential equations, the second edition of Numerical Methods for Engineers and Scientists presents a methodology for systematically constructing individual computer programs. Providing easy access to accurate solutions to complex scientific and engineering problems, each chapter begins with objectives, a discussion of a representative application, and an outline of special features, summing up with a list of tasks students should be able to complete after reading the chapter- perfect for use as a study guide or for review. The AIAA Journal calls the book "…a good, solid instructional text on the basic tools of numerical analysis."
FREE Two-Day Shipping for Students. Learn more |
| ||||||||||||||||||
 Sell Back Your Copy for $73.14
Whether you buy it new on Amazon for $96.52 or somewhere else, you can sell it back through our Book Trade-In Program at the current price of $73.14.
New Price$96.52
Trade-in Price$73.14
Price after
Trade-in$23.38 |
|
There is a newer edition of this item:
|
Book Description
Special Offers and Product Promotions
- Buy $50 in qualifying physical textbooks, get $5 in Amazon MP3 Credit. Here's how (restrictions apply)
Frequently Bought Together
Product Details
Would you like to update product info or give feedback on images?
|
More About the Author
Discover books, learn about writers, read author blogs, and more.
Customer Reviews
|
Share your thoughts with other customers:
|
||||||||||||||||||||||
|
Most Helpful Customer Reviews
20 of 20 people found the following review helpful:
5.0 out of 5 stars
Perfect numerical methods book as one can get for a 1st course.,
By
This review is from: Numerical Methods for Engineers and Scientists, Second Edition, (Hardcover)
A great textbook for a first course in Numerical Methods as it gives an extensive yet detailed coverage of numerical techniques that form the base for more advanced work in CFD. This book is based almost entirely on the finite difference method for solving differential equations. A chapter addresses finite element techniques but it only a primer; you will need a textbook solely devoted to FEM. This book is written for a mechanical engineer, as most of the governing equations are invariably from the areas of heat transfer, fluid flow, gas dynamics and solid mechanics.
The good points are 1. Each method described comes with a index notated formula that takes the head ache out of programming. Plus there are plenty of FORTRAN subroutines to look at. 2. Not only does Hoffman give you the finite difference equation he also throws in a solved example with one or two iterations worked out in full detail; the benefit of this cannot be overstated. 3. Plenty of practice problems with results at the back of the book. 4. Enough math to give the reader an insight into how the method works. If you care for rigor this is not the book. The drawbacks are 1. Hoffman has condensed the portions dealing with PDE's from previous editions cutting out some theoretical development. Since most wouldn't have had a course in PDE's (like me) a few more pages might have better squared away a few difficult concepts (eg. characteristic lines of PDE's). 2. Could use another round of proof-reading. This book is littered with typos; which one runs into even in key formulas. This is unacceptable in what is otherwise a pedagogically sound book. 3. I would have liked to see some more elaboration on multidimensional problems in PDE's apart from the 1D unsteady examples which form the workhorse. Hoffman mentions that the explicit methods for 1D unsteady problems work for higher while the implicit schemes introduce numerical complexity which merit advanced methods. These specialized methods for higher dimensional parabolic and hyperbolic PDE's are not developed. As it stands the book is packed with enough material for 3 semesters study. This book works well for self study. Everything from linear algebra (direct and iterative methods, LU factorization, eigenproblems), non-linear eqns, interpolation, numerical integration and differentiation, ODE's, BVP's, and PDE's is touched upon. Unlike most introductory texts Hoffman doesn't shy away from non-linear problems in differential equations. I used it for the num. methods course even though the prescribed text was Heath's Scientific Computing which was the worst textbook I ever read (thankfully never purchased it). If you are getting started in CFD then this book provides a solid first step.
4.0 out of 5 stars
Great Book,
By
Amazon Verified Purchase(What's this?)
This review is from: Numerical Methods for Engineers and Scientists, Second Edition, (Hardcover)
This book is great an explaining principle, providing examples, and sample code. It would be improved my more visual explanation of method procedures.
5.0 out of 5 stars
Good Book To start, Finite Element Methods,
By
This review is from: Numerical Methods for Engineers and Scientists, Second Edition, (Hardcover)
I spend couple of months on searching a good book on Numerical method specifically a introductory text on Finite Element Methods
and finally found this one. This is a good book for any one who do not have any experience of Finite Element Methods before. To understand Finite Element Methods, it would be help full if one flows along the progression of the book rather then reading specific chapters. Overall, This is a good book for Numerical Method and best Introduction to Finite element Methods I have read so far.
Share your thoughts with other customers: Create your own review
|
|
Inside This Book
(learn more)
First Sentence:
This Introduction contains a brief description of the objectives, approach, and organization of the book. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
modified midpoint method, direct fit polynomials, program main defines, data ndim, derivative function evaluations, exact partial derivatives, remainder term yields, information propagation speed, direct power method, global solution domain, interpolating polynominals, leading truncation error terms, shifted power method, results output flag, asymptotic steady state solution, fitting approximating polynomials, linear convection equation, algebraic finite difference equation, more prominent packages, real characteristic paths, shifted inverse power method, subroutine lufactor, diffusion equation solver, heat diffusion problem, least squares straight line approximation Key Phrases - Capitalized Phrases (CAPs): (learn more)
Work Problem, Summary Problems Examples, Numerical Recipes, Dividing Eqs, Repeat Problem, Summary Four, Use Gauss-Jordan, Work Example New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
This Introduction contains a brief description of the objectives, approach, and organization of the book. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
modified midpoint method, direct fit polynomials, program main defines, data ndim, derivative function evaluations, exact partial derivatives, remainder term yields, information propagation speed, direct power method, global solution domain, interpolating polynominals, leading truncation error terms, shifted power method, results output flag, asymptotic steady state solution, fitting approximating polynomials, linear convection equation, algebraic finite difference equation, more prominent packages, real characteristic paths, shifted inverse power method, subroutine lufactor, diffusion equation solver, heat diffusion problem, least squares straight line approximation Key Phrases - Capitalized Phrases (CAPs): (learn more)
Work Problem, Summary Problems Examples, Numerical Recipes, Dividing Eqs, Repeat Problem, Summary Four, Use Gauss-Jordan, Work Example New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 24
books:
See all 24 books this book cites
27
books
cite this book:
See all 27 books citing this book
- Numerical Recipes: The Art of Scientific Computing by William H. Press on 8 pages
- Partial Differential Equations (Applied Mathematical Sciences) (v. 1) by Fritz John in Back Matter (1), and Back Matter (2)
- Introduction to Fluid Mechanics by Robert W. Fox in Back Matter
- Introduction to Fluid Mechanics by James E. A. John in Back Matter
- Gas Dynamics (Volume 1) by Maurice J. Zucrow in Back Matter
See all 24 books this book cites
- Introduction to Theoretical and Computational Fluid Dynamics by C. Pozrikidis on page 598, and page 630
- ANALYTICAL and NUMERICAL METHODS WITH THE HP 48 G/G+/GX PROGRAMMABLE CALCULATOR by Gilberto Urroz on page 1, and page 58
- Numerical Computation in Science and Engineering by C. Pozrikidis on page 580
- Introduction to Structural Dynamics (Cambridge Aerospace Series) by Bruce K. Donaldson on page 480
- Computational Electrodynamics: The Finite-Difference Time-Domain Method (Artech House Antennas and Propagation Library) by Susan C. Hagness on page 64
See all 27 books citing this book
What Other Items Do Customers Buy After Viewing This Item?
Tags Customers Associate with This Product(What's this?)Click on a tag to find related items, discussions, and people.
|
Sell a Digital Version of This Book in the Kindle Store
If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store.
Learn more
Customer Discussions
|
This product's forum
Active discussions in related forums
Search Customer Discussions
|
Related forums
|
