Description
Inside this book, readers will find
- detailed descriptions of algorithms,
- implementations in Julia that illustrate concepts and allow readers to explore methods on their own, and
- illustrations and graphics that emphasize core concepts and demonstrate algorithms.
Numerical Linear Algebra with Julia is a textbook for undergraduate and graduate students. It is appropriate for the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory.
The book may also serve as a reference for researchers in various fields such as computational engineering, statistics, data-science, and machine learning, who depend on numerical solvers in linear algebra.
Book Information
ISBN 9781611976540
Author Eric Darve
Format Paperback
Page Count 277
Imprint Society for Industrial & Applied Mathematics,U.S.
Publisher Society for Industrial & Applied Mathematics,U.S.
Weight(grams) 874g