Foundations of Mathematical Modeling and Analysis in Engineering - Softcover

Watson Ph.D., A. Ted

Softcover

ISBN 10: 0443295921 ISBN 13: 9780443295928

Verlag: Butterworth-Heinemann, 2026

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

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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Foundations of Mathematical Modeling and Analysis in Engineering offers a comprehensive presentation of the mathematical principles underpinning modern engineering and the quantitative sciences. Designed for graduate and advanced undergraduate students, as well as seasoned professionals, this book bridges the gap between abstract mathematical theory and real-world engineering applications.
It equips students with the mathematical tools needed to solve essential classes of algebraic, ordinary-, and partial-differential equations, while also teaching principles for formulating, analyzing, and solving linear subsystems that are vital components for working with both linear and nonlinear mathematical models. Methods are provided to specify associated model properties and parameters from system observations, and to evaluate the efficacy of candidate models for characterizing processes.

Details zur Ausgabe

• Verlag: Butterworth-Heinemann
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 0443295921
• ISBN 13: 9780443295928
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 400
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Buchbär; info@buchbaer.de; ; Weberstr. 67; Osnabrück; 49084; Deutschland