Foundations of Mathematical Modeling and Analysis in Engineering



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Éditeur :

Butterworth-Heinemann


Paru le : 2025-12-08



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Description
Foundations of Mathematical Modeling and Analysis in Engineering offers a comprehensivepresentation 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. - 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
Pages
400 pages
Collection
n.c
Parution
2025-12-08
Marque
Butterworth-Heinemann
EAN papier
9780443295928
EAN EPUB SANS DRM
9780443295935

Prix
78,06 €

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).

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