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Partial Differential Equations for Scientists and Engineers by Prof. Dr. Nawazish Ali Shah

Partial Differential Equations for Scientists and Engineers by Prof. Dr. Nawazish Ali Shah

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Regular price Rs.1,620.00
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Partial Differential Equations for Scientists: An Overview

Understanding the Basics of Partial Differential Equations

Partial Differential Equations (PDEs) are fundamental mathematical tools essential for scientists and engineers. They involve multiple variables and their partial derivatives, allowing us to model complex systems. For example, PDEs are crucial in fluid dynamics, electromagnetism, and financial mathematics. Scientists employ these equations to understand changes in physical phenomena over time and space, providing insight into theoretical and practical applications.Available now at

Applications of PDEs in Science and Engineering

PDEs find applications across various scientific disciplines. Engineers utilize PDEs to design structures that withstand forces and stresses. In fields like meteorology, they help in predicting weather patterns by modeling the atmosphere. Additionally, PDEs are essential in quantum mechanics, where they describe the behaviors of particles and waves, illustrating their importance in both theoretical and applied science.

Learning and Mastering Partial Differential Equations

Understanding partial differential equations requires a solid foundation in calculus and linear algebra. Students are encouraged to study classical methods like separation of variables and transform techniques. Through diverse examples and problems, Prof. Dr. Nawazish Ali Shah's teaching emphasizes practical application, ensuring that aspiring scientists and engineers can effectively use PDEs in their future careers. Mastery of these equations not only enhances problem-solving skills but also opens doors to advanced studies in mathematical modeling.


 
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📘 Product Specifications
Recommended age Youngs & Kids
Language English & Urdu
Edition Latest Edition
Book condition ["NEW"]
Binding Soft Binding
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