Exploring Linear Algebra, 2nd Edition, 9781032942315
Paperback
Unlock Linear Algebra’s power: data analysis, coding, and advanced applications.

Exploring Linear Algebra, 2nd Edition

Labs and Projects with Mathematica ®

$186.89

  • Paperback

    152 pages

  • Release Date

    26 February 2025

Check Delivery Options

Summary

This text focuses on the primary topics in a first course in Linear Algebra. The author includes additional advanced topics related to data analysis, singular value decomposition, and connections to differential equations. This is a lab text that would lead a class through Linear Algebra using demonstrations and coding.

The book includes interesting examples embedded in the projects. Examples include the discussions of “Lights Out”, Nim, the Hill Cipher, and a variety of relevant data…

Book Details

ISBN-13:9781032942315
ISBN-10:1032942312
Author:Crista Arangala
Publisher:Taylor & Francis Ltd
Imprint:Chapman & Hall/CRC
Format:Paperback
Number of Pages:152
Edition:2nd
Release Date:26 February 2025
Weight:300g
Dimensions:234mm x 156mm
Series:Textbooks in Mathematics
About The Author

Crista Arangala

Dr. Crista Arangala is Professor of Mathematics and Chair of the Department of Mathematics and Statistics at Elon University in North Carolina. She has been teaching and researching in a variety of fields, including inverse problems, applied partial differential equations, applied linear algebra, mathematical modeling, and service learning education. She runs a traveling science museum with her Elon University students in Kerala, India. Dr. Arangala was chosen to be a Fulbright Scholar in 2014 as a visiting lecturer at the University of Colombo where she continued her projects in inquiry learning in Linear Algebra and began working with a modeling team focusing on Dengue fever research. Dr. Arangala has published several textbooks that implore inquiry learning techniques, including Exploring Linear Algebra: Labs and Projects with MATLAB, Mathematical Modeling: Branching Beyond Calculus, and Linear Algebra with Machine Learning and Data.

Returns

This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.