Download PDF Scientific Computing
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Scientific Computing
Download PDF Scientific Computing
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Product details
Hardcover: 563 pages
Publisher: The McGraw-Hill Companies, Inc.; 2nd edition (July 17, 2002)
Language: English
ISBN-10: 0072399104
ISBN-13: 978-0072399103
Product Dimensions:
7.5 x 1.1 x 9.5 inches
Shipping Weight: 2.4 pounds (View shipping rates and policies)
Average Customer Review:
3.8 out of 5 stars
18 customer reviews
Amazon Best Sellers Rank:
#376,909 in Books (See Top 100 in Books)
I read this book as a student in Dr. Heath's course at UIUC, then had to study it more thoroughly for qualifying exams, and I highly recommend it for anyone interested in the subject (subjects listed below). In the text he explains things clearly and carefully, and makes sure to provide motivation for the topics. It will really help if you haven't forgotten all your linear algebra and have had some programming experience. The programming problems are easiest to complete in Python or Matlab. If you plan to do them, but don't have any experience with Python or Matlab, you can learn what you need to know pretty quickly (which would be easier than attempting them in a language not designed for matrix math). I think the book would stand well on its own even if you weren't taking the course. I would not hesitate to buy other books by Dr. Heath. All textbooks are overpriced and he told us he'd rather sell ten times as many at one tenth of the cost, but the publisher sets the price.The general subject of the book is numerical algorithms (and error estimation) for the following subjects:Systems of Linear equationsLinear Least SquaresEigenvalue ProblemsNonlinear EquationsOptimization ProblemsInterpolationNumerical Integration and DifferentiationInitial Value Problems for ODEsBoundary Value Problems for ODEsPartial Differential EquationsFast Fourier TransformRandom Numbers and Simulation
As some other reviews have pointed out, this book is not the best at giving examples. It gives examples of the concepts, but they are not well explained and skip a lot of steps. If one is familiar with the concepts, then they are great, because they skip right to the point, but it is definitely not the greatest if you are trying to learn the basics of the concepts.What is really good about this book, is that at the end of each chapter, it has a list of the built-in library functions that do the algorithms the chapters talk about, in a bunch of different languages (Matlab, maple, etc). Another good thing is that it gives a basic outline of many of the algorithms.
This text reads well, and does a good job covering the important concepts in scientific computing. The only thing I've noticed is sometimes missing specific examples. Sometimes the sample problems are not clear as to what is expected...Overall, its a text that is good to learn from, but maybe not the best for practice(note: i have not yet worked through the computer programming example, these look promising)
This edition is exactly the same the as the US version.Good quality and very nice seller, I get this book really quick.It is much cheaper than the bookstore.100% recommend
Not just a great introduction to the topic but also a great resource for review questions, exercises and computer problems/projects.
This book is a great buy for advanced mathematics and computing theories. However I have heard several people say they don't know how to use the book and can't decipher it. The book itself does not have enough explanation to be able to use it by yourself (in my opinion). But with a good teacher that can explain the small tips that a book will not publish, this book can be a great tool in the learning process.
good review of scientific computing, the best of this book are the different types of questions at the end of each chapter.
As a student I have found this book extremely difficult to learn from. I am a junior in mechanical engineering and have already taken classes concerning differential equations, partial differentials and some linear algebra so a lot of the basic concepts of this book are not new to me. The author seems rushed to introduce as many theories as possible into each chapter and misses many of the key qualities that make some of my other text books great learning tools.1. Lack of examples concerning new theories.2. Too many steps skipped in solving examples where the theory was just introduced3. Useful equations not numbered.4. No chapter summary with chapter highlights.5. No chapter equation/useful formula summary.6. No solutions in the back of the book. This makes it very difficult to study by yourself.It is obvious that this book is very comprehensive and that most of what an engineer would ever need to know on Numerical Methods is discussed in some form. However, the "text book" side is lacking and needs a major overhaul to become a great learning tool.
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