Advances in Applied Mathematics―Modeling, Differential Equations, and Artificial Intelligence IICAM 2025 | 23.97 MB
Title: Advances in Applied Mathematics―Modeling, Differential Equations, and Artificial Intelligence IICAM 2025
Author: Youssef El Hadfi, Abdelmoujib Benkirane, Sidi Mohamed Douiri
Category: Nonfiction, Science & Nature, Mathematics, Geometry, History
Language: English | 180 Pages | ISBN: 9789361525834
Description:
Differential Equations: Modeling and Simulation is a comprehensive and globally relevant resource bridging the gap between theoretical mathematics, real-world applications, and computational implementation. This detailed, well-structured text is designed for undergraduate and graduate learners as well as professionals across engineering, physical sciences, and applied mathematics disciplines. The book presents differential equations with strong emphasis on modeling real-world phenomena from first principles and simulating outcomes through computational tools. Content covers ordinary and partial differential equations, solution techniques, stability analysis, and numerical methods. Readers explore modeling approaches for physical systems including mechanical, electrical, biological, and economic applications. The text demonstrates how differential equations describe dynamic processes and enable predictive analysis. Material is partition-free, formatted to professional standards, and grounded in global best practices for mathematical education. Through systematic progression from fundamental concepts to advanced topics, the book develops both analytical and computational problem-solving skills. This resource serves students seeking rigorous mathematical training and professionals applying differential equations in research and industry contexts. The text balances theoretical foundations with practical simulation techniques for comprehensive understanding.
Differential Equations: Modeling and Simulation is a comprehensive and globally relevant resource bridging the gap between theoretical mathematics, real-world applications, and computational implementation. This detailed, well-structured text is designed for undergraduate and graduate learners as well as professionals across engineering, physical sciences, and applied mathematics disciplines. The book presents differential equations with strong emphasis on modeling real-world phenomena from first principles and simulating outcomes through computational tools. Content covers ordinary and partial differential equations, solution techniques, stability analysis, and numerical methods. Readers explore modeling approaches for physical systems including mechanical, electrical, biological, and economic applications. The text demonstrates how differential equations describe dynamic processes and enable predictive analysis. Material is partition-free, formatted to professional standards, and grounded in global best practices for mathematical education. Through systematic progression from fundamental concepts to advanced topics, the book develops both analytical and computational problem-solving skills. This resource serves students seeking rigorous mathematical training and professionals applying differential equations in research and industry contexts. The text balances theoretical foundations with practical simulation techniques for comprehensive understanding.
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