Differential Equations and Data Analysis

By Aleksei Beltukov

This book is focused on modeling with linear differential equations with constant coefficients. The author starts with the elementary natural growth equation and ends with the heat equation on the real line. The emphasis is on linear algebra, Fourier theory, and specifically data analysis, which is given a very prominent role and is often the book's main driving force. All aspects of modeling with linear differential equations are illustrated by analyzing real and simulated data in MATLAB®. These modeling case studies are of particular interest to students who anticipate having to use differential equations in their fields. The book is self-contained and is appropriate as a supplement for a first course in differential equations whose prerequisites include proficiency in multivariate calculus and MATLAB literacy.

• Format: Hardcover
• Language: English
• ISBN: 3031622561
• ISBN13: 9783031622564
• Release Date: November 2024
• Publisher: Springer
• Length: 190 Pages
• Weight: 1.21 lbs.
• Dimensions: 0.6" x 6.9" x 9.6"