Fundamentals of Numerical Computation: Julia Edition

Tobin A. Driscoll, RIchard J. Braun

ISBN 10: 1611977002 / ISBN 13: 9781611977004

Published by SIAM - Society for Industrial and Applied Mathematics, 2022

About this Item

614 pp., hardcover, NEW!! - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

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Bibliographic Details

• Title: Fundamentals of Numerical Computation: Julia Edition
• Publisher: SIAM - Society for Industrial and Applied Mathematics
• Publication Date: 2022
• Language: English
• ISBN 10: 1611977002
• ISBN 13: 9781611977004
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Julia is an open-source and fast-growing programming language for scientific computing that offers clarity and ease of use for beginners but also speed and power for advanced applications. Fundamentals of Numerical Computation: Julia Edition provides a complete solution for teaching Julia in the context of numerical methods. It introduces the mathematics and use of algorithms for the fundamental problems of numerical computation: linear algebra, finding roots, approximating data and functions, and solving differential equations. A clear progression from simple to more advanced methods allows for use in either a one-semester course or a two-semester sequence. There are more than 40 functions and 160 examples fully coded in Julia and available for download as well as online supplemental content including tested source materials for student projects and in-class labs related to every chapter. The book includes over 600 exercises, evenly split between mathematical and computational work, and solutions to most exercises will be made available to instructors. Fundamentals of Numerical Computation: Julia Edition is appropriate for advanced undergraduate students in math, science, and engineering. It can be used in courses on advanced numerical analysis, data science, numerical optimization, and approximation theory. Students and professionals looking for an introduction to the subject will also find the book of interest.

About the Author

Tobin A. Driscoll is a professor of mathematics at the University of Delaware. His research focuses on numerical methods for and applications of scientific computing. He has contributed to open-source MATLAB software, including the Chebfun project, and is the author of more than 50 refereed articles and three other books, including Learning MATLAB and Exploring ODEs. Richard J. Braun is a professor of mathematics at the University of Delaware. His research interests include mathematical modeling that creates problems that are often solved numerically. The problems most often include free boundaries, partial differential equations, and mathematical models for the tear film and ocular surface. He is the author of more than 80 scientific articles in a wide range of journals in mathematics and applications, and he is on multiple editorial boards of scientific journals.