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Introduction to Computational Science: Modeling and Simulation for the Sciences

3.5 out of 5 stars 4 customer reviews
ISBN-13: 978-0691125657
ISBN-10: 0691125651
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Editorial Reviews

Review

"The heart of Introduction to Computational Science is a collection of modules. Each module is either a discussion of a general computational issue or an investigation of an application. . . . [This book] has been carefully written with students clearly in mind."--Bill Satzer, MAA Reviews



"Introduction to Computational Science is useful for students and others who want to obtain some of the basic skills of the field. Its impressive collection of projects allows readers to quickly enjoy the power of modern computing as an essential tool in building scientific understanding."--Wouter van Jollingen, Physics Today



"I think this text is a masterpiece. I know of nothing comparable. I give it five stars."--JamesM. Cargal, UMAP Journal

From the Back Cover


"This is an important book with a wonderful collection of examples, models, and references."--Robert M. Panoff, Shodor Education Foundation


"This is a very good introduction to the field of computational science. It provides several good applications to illustrate the general nature of computational science, developing background material on a just-in-time basis."--Peter Turner, Clarkson University


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Product Details

  • Hardcover: 584 pages
  • Publisher: Princeton University Press (May 22, 2006)
  • Language: English
  • ISBN-10: 0691125651
  • ISBN-13: 978-0691125657
  • Product Dimensions: 10.2 x 7.2 x 1.4 inches
  • Shipping Weight: 2.6 pounds
  • Average Customer Review: 3.5 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #157,282 in Books (See Top 100 in Books)

Customer Reviews

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Top Customer Reviews

By Babak Makkinejad on July 23, 2011
Format: Hardcover
I enjoyed reading this book very much.

I found the book very useful in its conceptualization of simulation as a new form of synthesis for acquiring knowledge and helping human being make decisions. Simulation is a form of communication in that empirically-based models could be used to view the on-going processes that are cognitively beyond the capacity of human mind to untangle.

Furthermore, I found it admirable that the authors had instructed the readers in the art of model building using widely available simulation tools or even tools such as MS Excel that are not built specifically for the purpose of simulations.

I especially liked the tutorials with their wide selection of interesting material.

Regrettably, the subject matter of the book - simulation & (dynamic model building) - does not fit well within the traditional physics curriculum: Mechanics, Electromagnetism, and Quantum Mechanics. Numerical methods, including simulations, are not emphasized in such courses and normally one spends much of one's time studying well-known and solvable (in closed, analytical form) problems.

That does not mean that there is no room in physics for modeling and simulation: fractals, galaxy formation, dynamics of globular clusters, etc. are all areas that we are dependent on our numerical models and their fitness to observed phenomena to understand the processes of Nature. However, these are usually advanced topics not covered in undergraduate curricula.

And then the physicists tend to want to build their own tools rather that use COTS packages.

I think it is difficult to find a home in traditional university departments for a course on simulation based on this book.
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Format: Hardcover
This book has the potential to be great but not as is. It is kind of a compilation of other authors work right now. Also, the authors leave too much to the reader. Basically the book needs to be completed. The tutorials need to have FULL solutions. Also the works need to be original not just take a bunch of stuff from my differential equations book and others and slap it in there and site it...But, I would definitely recommend the authors devote everything to this and not to stop because it could become the future textbook for computational science
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Format: Hardcover
If you have a solid background in math (calculus, differential equations), physics, or computer science, you will probably find this book to be very elementary, and you will likely hate the approach it uses (visual methods for understanding differential equations, annoying pseudo code, etc). It only touches on the subjects it broaches, with terribly simple and poorly articulated exercises, and "projects" that in general should be exercises (thus there aren't really "projects"). This book was used for a graduate level course I took, and in my opinion is barely suitable for an undergraduate course.
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Format: Hardcover Verified Purchase
This is a great book for the college bound. Very interesting and easy to read.
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