Deep Learning for Fluid Simulation and Animation : Fundamentals, Modeling, and Case Studies

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Are you ready to embark on a comprehensive journey into the world of programming? "Mastering Programming Fundamentals" is a meticulously crafted guide designed to equip both beginners and aspiring programmers with the essential skills needed to excel in the dynamic landscape of coding. This book serves as your trusted companion, guiding you through the foundational concepts of programming step by step. From the very basics of variables and data types to the intricate art of algorithm design and advanced programming paradigms, this book covers it all. With each chapter, you'll not only gain knowledge but also cultivate a deep understanding of programming principles. Delve into the intricacies of key programming languages such as Python, Java, and C++, mastering their syntax and functionalities. As you progress, you'll unravel the power of data structures and algorithms, enabling you to create efficient and elegant solutions to real-world problems. Explore advanced topics such as software design patterns, version control systems, and collaborative coding practices, equipping you with the tools to navigate complex coding projects seamlessly. "Mastering Programming Fundamentals" is more than just a textbook; it's a transformative learning experience. Packed with practical examples, hands-on exercises, and expert insights, this book empowers you to build a solid programming foundation and instills in you the confidence to tackle diverse programming challenges. Whether you're an aspiring software engineer, a curious beginner, or a seasoned developer seeking to strengthen your fundamentals, this book is your passport to unlocking the endless possibilities of the programming world. Dive in and let the journey to programming mastery begin!

Author(s): Gilson Antonio Giraldi; Liliane Rodrigues de Almeida; Antonio Lopes Apolinário; Leandro Tavares da Silva
Series: SpringerBriefs in Mathematics
Publisher: Springer International Publishing
Year: 2023

Language: English
Pages: 172

Cover
Front Matter
1. Introductory Material to Animation and Learning
2. Fluids and Deep Learning: A Brief Review
3. Fluid Modeling Through Navier–Stokes Equations and Numerical Methods
4. Neural Networks Universality, Geometric, and Dynamical System Elements for Fluid Animation
5. Data and Learning Theory
6. Modeling Fluids Through Neural Networks
7. Fluid Rendering
8. Case Studies
9. Perspectives and Final Remarks
Back Matter