New
Mathematical Modeling,
Edition 1 Process and PresentationEditors: By Eric Marland, Amanda Beecher, Kayla Blyman and Jessica Libertini
Publication Date:
17 Sep 2026
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Description
Mathematical Modeling: Process and Presentation offers a comprehensive introduction to the art of mathematical modeling, engaging students through thought-provoking questions and interactive content. Each chapter presents a different canonical modeling type, guiding readers through the essential components of the modeling process, from problem posing and assumptions to reflection and purpose definition. With relatable examples, such as estimating efforts in balloon filling or developing metrics for college roommate matching, students are encouraged to explore and expand on the models presented. This text stands out by revisiting the modeling process throughout, rather than focusing solely on examples, fostering a deeper understanding of the methodology. Accessible to a broad audience, it invites readers to apply their mathematical tools at varying levels of sophistication, ensuring that the focus remains on the core process, which remains relevant as their knowledge grows. Mathematical Modeling: Process and Presentation is an invaluable resource for undergraduate students and early graduate-level mathematics learners seeking to enhance their modeling skills and engage with real-world applications.Key Features
- Introduces mathematical modeling processes through engaging examples and thought-provoking questions
- Covers foundational topics such as problem posing, assumptions, and mathematical formulation, using relatable examples to illustrate each concept
- Addresses a critical gap in existing texts by focusing on the modeling process throughout, fostering deeper understanding
- Serves as an essential resource for junior and senior undergraduate students, as well as early graduate-level mathematics students seeking to enhance their modeling skills
- Includes chapter-end questions that reinforce the modeling process, encourage exploration of related topics, and connect concepts to broader mathematical ideas
About the author
By Eric Marland, Professor of Mathematics, Appalachian State University, USA; Amanda Beecher, Professor of Mathematics, Ramapo College of New Jersey, USA; Kayla Blyman, Associate Professor of Mathematics. Saint Martin's University, USA and Jessica Libertini
1. The Start of Modeling
2. Estimation and Effort
3. Diagrams and Graphs
4. Priority Matching
5. Probability and Odds
6. Strategy in the face of randomness
7. Dynamics and Control
8. Flow and Boundaries
9. Pool Modeling
10. Proportional Dynamics
11. Linear Programming
12. Stochastic Elements
13. Geometry and scaling
14. Pool Modeling revisited
15. Qualitative Modeling
16. Priority Ranking
17. Dissemination
2. Estimation and Effort
3. Diagrams and Graphs
4. Priority Matching
5. Probability and Odds
6. Strategy in the face of randomness
7. Dynamics and Control
8. Flow and Boundaries
9. Pool Modeling
10. Proportional Dynamics
11. Linear Programming
12. Stochastic Elements
13. Geometry and scaling
14. Pool Modeling revisited
15. Qualitative Modeling
16. Priority Ranking
17. Dissemination
ISBN:
9780443447006
Page Count:
258
Retail Price (USD)
:
Junior and Senior level undergraduate or early graduate level mathematics students