Saltar al contenido principal
Elsevier

Foundations of Mathematical Modeling and Analysis in Engineering

  • 1 Edición - 8 de diciembre de 2025
  • Última edición
  • Autor: A. Ted Watson
  • Idioma: Inglés

Foundations of Mathematical Modeling and Analysis in Engineering offers a comprehensivepresentation of the mathematical principles underpinning modern engineering and the quantita… Leer más

Descripción

Foundations of Mathematical Modeling and Analysis in Engineering offers a comprehensive
presentation of the mathematical principles underpinning modern engineering and the quantitative sciences, and develops mathematical modeling as a foundational intellectual discipline. Designed for graduate and advanced undergraduate students, and accessible to seasoned professionals, it provides the means to develop and employ mathematical representations of physical processes and systems.

Puntos claves

  • A comprehensive toolbox for graduate engineering students, covering foundational and advanced mathematical concepts and methods
  • Emphasizes real-world applications of mathematical models, bolstering problem-solving skills through worked examples and end-of-chapter exercises
  • Aids the transition from undergraduate to graduate studies, ensuring comprehensive understanding and application of the mathematical concepts for advanced engineering courses and research
  • Offers teaching support, including an image bank, and full Solutions Manual, for qualified instructors, available for request at https://educate.elsevier.com/9780443295928

De interès para

This book was designed to provide the essential mathematical foundations for first-year graduate students within all engineering disciplines. It is accessible to all upper-division undergraduate and graduate students within engineering and the quantitative sciences, as well as associated practitioners within those fields.

Índice

1. Introduction

2. Mathematical representations of physical phenomena

3. Solving linear algebraic equations

4. Vector spaces and their representations

5. Linear transformations and representations

6. Inner product spaces

7. Operators and matrix representations

8. Ordinary differential equations

9. Function representation and transforms

10. Partial differential equations

11. System and parameter identification

Appendices
A. A Word on Proofs
B. Vector calculus and operations
C. Simulate measurement errors
D. Additional operations with square matrices
E. Addendum to Chapter 7
F. Higher-Order Linear ODEs
G. QR Factorization
H. Sequences and Convergence
I. Eulers Equidimensional Equation
J. Sturm-Liouville Equations
K. Bessel’s equation
L. Best linear unbiased predictions and estimates

Detalles del producto

  • Edición: 1
  • Última edición
  • Publicado: 5 de enero de 2026
  • Idioma: Inglés

Sobre el autor

AW

A. Ted Watson

Professor Emeritus A. Ted Watson holds a BS from University of Texas at Austin and a PhD from California Institute of Technology, both in chemical engineering. He attained the position of Professor at Texas A&M University (TAMU) before joining Colorado State University (CSU) as the founding department head of chemical & biological engineering. He has advanced mathematical modeling and system and parameter identification while working within a variety of fields. He established the Engineering Imaging Laboratory at TAMU and Rocky Mountain Magnetic Resonance at CSU and was elected Fellow of the American Institute of Chemical Engineers (AIChE).
Afiliaciones y experiencia
School of Biomedical & Chemical Engineering, Colorado State University, Fort Collins, CO, USA

Ver libro en ScienceDirect

Lee Foundations of Mathematical Modeling and Analysis in Engineering en ScienceDirect