![A Gentle Introduction to Scientific Computing](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.9.4)
![A Gentle Introduction to Scientific Computing](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.9.4)
Hardcover
-
PICK UP IN STORECheck Availability at Nearby Stores
Available within 2 business hours
Related collections and offers
Overview
A Gentle Introduction to Scientific Computing intends to serve a very broad audience of college students across a variety of disciplines. It aims to expose its readers to some of the basic tools and techniques used in computational science, with a view to helping them understand what happens "behind the scenes" when simple tools such as solving equations, plotting and interpolation are used.
To make the book as practical as possible, the authors explore their subject both from a theoretical, mathematical perspective and from an implementation-driven, programming perspective.
Features
- Middle-ground approach between theory and implementation.
- Suitable reading for a broad range of students in STEM disciplines. Could be used as the primary text for a first course in scientific computing.
- Introduces mathematics majors, without any prior computer science exposure, to numerical methods.
- All mathematical knowledge needed beyond Calculus (together with the most widely used Calculus notation and concepts) is introduced in the text to make it self-contained.
The erratum document for A Gentle Introduction to Scientific Computing can be accessed here.
Product Details
ISBN-13: | 9780367206840 |
---|---|
Publisher: | CRC Press |
Publication date: | 05/02/2022 |
Series: | Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series |
Pages: | 282 |
Product dimensions: | 6.12(w) x 9.19(h) x (d) |
About the Author
Long Lee is a Professor of Mathematics at the University of Wyoming in Laramie, USA. He received his Ph. D. in Applied Mathematics from the University of Washington in Seattle, USA. Before his Ph.D., he received a BS in Engineering and an MS in Geophysics.
His research interests are in the area of high-performance scientific computing and its applications. He has published papers in computational fluid dynamics, nonlinear waves, and image sciences. He expanded his research to infectious diseases and network modeling in recent years due to the COVID-19 pandemic.
His teaching interests are in the general area of scientific computing. In particular, he enjoys teaching numerical methods for engineering students. He has taught numerical methods, differential equations, and mathematical modeling, both undergraduate and graduate levels, at the University of Wyoming for more than fifteen years.