SimonSerovajsky
Mathematical Modelling
Mathematical Modelling
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- More about Mathematical Modelling
Mathematical Modelling provides a comprehensive introduction to the principles and applications of mathematical modelling across various fields. It covers different classes of models,equations,systems,control,optimization,and identification,making it suitable for undergraduates,graduate students,and researchers.
Format: Paperback / softback
Length: 442 pages
Publication date: 29 January 2024
Publisher: Taylor & Francis Ltd
Mathematical Modelling is a comprehensive guide that explores the principles and applications of mathematical modelling across various fields. The author aims to provide a unified framework for understanding the world through the lens of mathematics.
Within the book, a wide range of problems from physics, engineering, chemistry, biology, medicine, economics, ecology, sociology, psychology, political science, and more are considered. The author introduces different classes of models, including lumped and distributed parameter systems, deterministic and stochastic models, continuous and discrete models, static and dynamical systems, and more. These models are viewed from a mathematical perspective, as equations and systems of equations with various nature and variational principles.
In addition to mathematical modelling, the book also discusses applied control and optimization problems based on mathematical models, as well as the identification of mathematical models. Each chapter is structured to cater to undergraduates, graduate students, and researchers alike. It includes a lecture (main chapter material), an appendix (additional information), notes (explanations, technical calculations, literature review), and tasks for independent work.
The book is organized both by areas of application and by the types of mathematical problems addressed. This approach broadens the coverage of the material and facilitates a deeper understanding of the subject. It serves as a valuable textbook for mathematical modelling courses and can also be used as a reference for specialized courses in fields such as physics, chemistry, biology, economics, and more.
With its comprehensive coverage, rigorous analysis, and practical applications, Mathematical Modelling is an essential resource for anyone interested in developing a mathematical modelling approach to understanding the world.
Weight: 453g
Dimension: 254 x 178 (mm)
ISBN-13: 9781032147871
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