logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Scientific Computing Approximation And Integration John A Trangenstein

  • SKU: BELL-7029406
Scientific Computing Approximation And Integration John A Trangenstein
$ 31.00 $ 45.00 (-31%)

4.3

8 reviews

Scientific Computing Approximation And Integration John A Trangenstein instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 7.46 MB
Pages: 592
Author: John A. Trangenstein
ISBN: 9783319691091, 3319691090
Language: English
Year: 2018
Volume: Vol. III

Product desciption

Scientific Computing Approximation And Integration John A Trangenstein by John A. Trangenstein 9783319691091, 3319691090 instant download after payment.

This is the third of three volumes providing a comprehensive presentation of the fundamentals of scientific computing. This volume discusses topics that depend more on calculus than linear algebra, in order to prepare the reader for solving differential equations. This book and its companions show how to determine the quality of computational results, and how to measure the relative efficiency of competing methods. Readers learn how to determine the maximum attainable accuracy of algorithms, and how to select the best method for computing problems. This book also discusses programming in several languages, including C++, Fortran and MATLAB. There are 90 examples, 200 exercises, 36 algorithms, 40 interactive JavaScript programs, 91 references to software programs and 1 case study.

Topics are introduced with goals, literature references and links to public software. There are descriptions of the current algorithms in GSLIB and MATLAB.

This book could be used for a second course in numerical methods, for either upper level undergraduates or first year graduate students. Parts of the text could be used for specialized courses, such as nonlinear optimization or iterative linear algebra.

Related Products