
BOOKS - Mathematical Modeling. Models, Analysis and Applications

Mathematical Modeling. Models, Analysis and Applications
Author: Sandip Banerjee
Year: 2022
Format: PDF
File size: PDF 20 MB
Language: English

Year: 2022
Format: PDF
File size: PDF 20 MB
Language: English

Book Description: The book "Mathematical Modeling Models Analysis and Applications" is a comprehensive guide to understanding the process of technology evolution and its impact on society. The author argues that the development of modern knowledge is the key to the survival of humanity and the unification of people in a warring state. The book provides a detailed analysis of the mathematical modeling techniques and their applications in various fields such as engineering, economics, biology, and finance. It also explores the challenges and limitations of these models and highlights the need for a personal paradigm for perceiving the technological process. The book is divided into four parts: Part I: Introduction to Mathematical Modeling, Part II: Models and Applications, Part III: Challenges and Limitations, and Part IV: Conclusion and Future Directions. Each part provides a thorough overview of the subject matter, making it an essential resource for students, researchers, and professionals in the field of mathematics, science, and technology. Part I: Introduction to Mathematical Modeling In this part, the author provides an introduction to mathematical modeling, including the history, definition, and importance of the field. The author explains how mathematical modeling has evolved over time and how it has become an essential tool for understanding complex systems and making predictions. The author also discusses the different types of mathematical models, such as deterministic and stochastic models, and their applications in various fields. Part II: Models and Applications This part of the book provides a detailed analysis of various mathematical models and their applications in different fields. The author covers topics such as linear programming, optimization, dynamic programming, and game theory, and shows how these models are used to solve real-world problems.
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