Mathematical Modeling
Branching Beyond Calculus
Nonfiction, Science & Nature, Mathematics, Differential Equations
| Author: | Crista Arangala, Nicolas S. Luke, Karen A. Yokley | ISBN: | 9781498771030 |
| Publisher: | CRC Press | Publication: | January 31, 2018 |
| Imprint: | Chapman and Hall/CRC | Language: | English |
| Author: | Crista Arangala, Nicolas S. Luke, Karen A. Yokley |
| ISBN: | 9781498771030 |
| Publisher: | CRC Press |
| Publication: | January 31, 2018 |
| Imprint: | Chapman and Hall/CRC |
| Language: | English |
Mathematical Modeling: Branching Beyond Calculus reveals the versatility of mathematical modeling. The authors present the subject in an attractive manner and flexibley manner. Students will discover that the topic not only focuses on math, but biology, engineering, and both social and physical sciences.
The book is written in a way to meet the needs of any modeling course. Each chapter includes examples, exercises, and projects offering opportunities for more in-depth investigations into the world of mathematical models. The authors encourage students to approach the models from various angles while creating a more complete understanding. The assortment of disciplines covered within the book and its flexible structure produce an intriguing and promising foundation for any mathematical modeling course or for self-study.
Key Features:
- Chapter projects guide more thorough investigations of the models
- The text aims to expand a student’s communication skills and perspectives
- WThe widespread applications are incorporated, even includinge biology and social sciences
- Its structure allows it to serve as either primary or supplemental text
- Uses Mathematica and MATLAB are used to develop models and computations
Mathematical Modeling: Branching Beyond Calculus reveals the versatility of mathematical modeling. The authors present the subject in an attractive manner and flexibley manner. Students will discover that the topic not only focuses on math, but biology, engineering, and both social and physical sciences.
The book is written in a way to meet the needs of any modeling course. Each chapter includes examples, exercises, and projects offering opportunities for more in-depth investigations into the world of mathematical models. The authors encourage students to approach the models from various angles while creating a more complete understanding. The assortment of disciplines covered within the book and its flexible structure produce an intriguing and promising foundation for any mathematical modeling course or for self-study.
Key Features:
- Chapter projects guide more thorough investigations of the models
- The text aims to expand a student’s communication skills and perspectives
- WThe widespread applications are incorporated, even includinge biology and social sciences
- Its structure allows it to serve as either primary or supplemental text
- Uses Mathematica and MATLAB are used to develop models and computations
