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Mathematical Modeling

$ 95

Pages:434
Published: 2026-09-04
ISBN:978-99993-5-367-0
Category: New Release
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Description

MATHEMATICAL MODELING Principles, Techniques, Computational Methods, and Real-World Applications, Mathematical modeling provides a powerful way to transform complex real-world phenomena into mathematical structures that can be analyzed, interpreted, and used for prediction and decision-making. This book presents a comprehensive and systematic introduction to the principles, techniques, and applications of mathematical modeling across science, engineering, economics, social sciences, and related disciplines. The book guides readers through the complete modeling process, beginning with problem identification, assumptions, formulation, and mathematical representation, and continuing through analysis, implementation, interpretation, and refinement. It introduces a broad range of modeling approaches, including linear and nonlinear models, differential equation models, stochastic models, optimization models, and other important mathematical frameworks. Particular attention is given to computational methods and modern approaches to modeling. Readers explore simulation, numerical techniques, model validation, sensitivity analysis, and computational tools that support the development and evaluation of mathematical models. Real-world examples and practical applications demonstrate how mathematical modeling can be used to understand complex systems and address challenging quantitative problems. Designed for advanced undergraduate and graduate students, this book is also valuable for researchers, educators, scientists, engineers, economists, and practitioners seeking to strengthen their mathematical modeling skills. The presentation balances theoretical foundations with practical implementation, while maintaining accessible mathematical prerequisites based primarily on calculus, linear algebra, and basic probability. By integrating mathematical theory, computational techniques, applications, examples, and exercises, Mathematical Modeling serves as both a practical textbook and a useful academic reference. It equips readers with systematic modeling skills and encourages quantitative thinking.



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