Goodreads helps you keep track of books you want to read.
Start by marking “Scientific Computing” as Want to Read:
Scientific Computing
Enlarge cover
Rate this book
Clear rating
Open Preview

Scientific Computing

3.31  ·  Rating Details ·  35 Ratings  ·  3 Reviews
Heath 2/e, presents a broad overview of numerical methods for solving all the major problems in scientific computing, including linear and nonlinear equations, least squares, eigenvalues, optimization, interpolation, integration, ordinary and partial differential equations, fast Fourier transforms, and random number generators. The treatment is comprehensive yet concise, ...more
Hardcover, 576 pages
Published July 17th 2001 by McGraw-Hill Education (first published December 1st 1996)
More Details... edit details

Friend Reviews

To see what your friends thought of this book, please sign up.

Reader Q&A

To ask other readers questions about Scientific Computing, please sign up.

Be the first to ask a question about Scientific Computing

This book is not yet featured on Listopia. Add this book to your favorite list »

Community Reviews

(showing 1-30)
filter  |  sort: default (?)  |  Rating Details
Dr M
Jul 15, 2008 Dr M rated it liked it  ·  review of another edition
Recommends it for: scientists, engineers
Shelves: science
The subtitle to Heath's book on numerical methods for scientific computing is "an Introductory Survey". This is almost an auto-review. Brevity is simultaneously the book's strength and its weakness. Scientific Computing is not so much a comprehensive textbook as a collection of introductions to the central ideas of the most important, elementary numerical methods for linear algebra, calculus, differential equations and non-linear equations. As such it is a splendid work to turn to when you need ...more
May 13, 2014 Gregory rated it really liked it  ·  review of another edition
This is not a bad text book. It covers a lot of material and is pretty general. However there are also a lot of examples to help make things concrete. My only compliant was there are a good number of typos. Since this is the sort of thing I don't normally notice I figure there must be a lot more than I saw.
Jennifer Houchins
Jennifer Houchins rated it really liked it
Oct 27, 2012
Anton Frisk Kockum
Anton Frisk Kockum rated it it was ok
Jan 15, 2013
Bart Mesuere
Bart Mesuere rated it liked it
Jun 20, 2009
Valentine Svensson
Valentine Svensson rated it liked it
May 04, 2011
Fredrik rated it liked it
Apr 13, 2013
Jens rated it liked it
Feb 14, 2010
Jamie Banks
Jamie Banks rated it liked it
Sep 22, 2011
Karven rated it liked it
Apr 21, 2013
Stijn rated it really liked it
Mar 13, 2011
May 04, 2015 Tieta rated it it was amazing
Shelves: science
Great book about numerical analysis. Favorite quote: "We cannot live without approximations"! :)
Patrick rated it it was amazing
Jan 05, 2014
Mark rated it it was ok
May 21, 2011
Pieter rated it liked it
Jun 13, 2011
Jeff Snider
Jeff Snider rated it liked it
Jul 20, 2015
Kyle rated it really liked it
Jul 07, 2014
Nah2po4aq rated it liked it
Apr 08, 2013
Polly rated it it was ok
Feb 01, 2015
Peter Pipkorn
Peter Pipkorn rated it liked it
Jun 02, 2016
Johan rated it liked it
Mar 12, 2007
Raj rated it really liked it
Nov 22, 2010
selim öztürk
selim öztürk rated it it was ok
May 04, 2016
國軒 蒙
國軒 蒙 rated it liked it
Sep 16, 2016
Prabal Saxena
Prabal Saxena rated it really liked it
Apr 17, 2010
Stefanie rated it really liked it
Aug 06, 2011
Scott rated it really liked it
Jan 18, 2014
Darin rated it really liked it
Jul 16, 2012
Chee-hyung Yoon
Chee-hyung Yoon rated it liked it
Jan 04, 2014
Maha rated it liked it
Nov 06, 2011
« previous 1 next »
There are no discussion topics on this book yet. Be the first to start one »

Goodreads is hiring!

If you like books and love to build cool products, we may be looking for you.
Learn more »

Share This Book