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.
| ISBN: | 9783031622564 |
| Publication date: | 13th November 2024 |
| Author: | Aleksei Beltukov |
| Publisher: | Springer an imprint of Springer Nature Switzerland |
| Format: | Hardback |
| Pagination: | 190 pages |
| Series: | Synthesis Lectures on Mathematics & Statistics |
| Genres: |
Differential calculus and equations Numerical analysis Mathematical modelling Functional analysis and transforms Calculus and mathematical analysis Maths for engineers |
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.
Differential Equations and Data Analysis features in the following genres: Differential calculus and equations, Numerical analysis, Mathematical modelling, Functional analysis and transforms, Calculus and mathematical analysis, Maths for engineers
Differential Equations and Data Analysis is available in Hardback
Differential Equations and Data Analysis was written by Aleksei Beltukov and published by Springer an imprint of Springer Nature Switzerland
Differential Equations and Data Analysis has 190 pages
Yes it is part of Synthesis Lectures on Mathematics & Statistics series
£53.99