[PDF] Advances in Automatic Differentiation: Tools & Applications

Explore Advances in Automatic Differentiation: A Key Resource for Computational Scientists and Engineers

If you’re diving into the world of automatic differentiation, the book “Advances in Automatic Differentiation” is an essential resource. This collection of cutting-edge research and practical applications, edited by Christian H. Bischof, H. Martin Bücker, Paul Hovland, Uwe Naumann, and Jean Utke, covers the latest advancements in both theory and practice, making it a must-read for computer scientists, mathematicians, and engineers alike.

Key Insights and Applications

The book offers a comprehensive look at recent developments in automatic differentiation theory, a mathematical technique crucial for a wide range of computational tasks. Automatic differentiation (AD) provides a way to compute derivatives efficiently and accurately, which is vital in applications like optimization, machine learning, and scientific computing.

Readers will discover:

• Innovative AD tools: Learn about new mechanisms for constructing robust and powerful tools that enhance the efficiency of automatic differentiation in complex algorithms.
• Practical applications: The text discusses real-world uses of AD in solving inverse problems and optimizing designs in various fields. These case studies provide valuable insights into how AD can be applied in scientific research and engineering projects.
• Expert contributions: With input from leaders in the field, this book is packed with authoritative perspectives on both the theoretical and practical aspects of AD.

Who Will Benefit from This Book?

• Computer scientists and mathematicians: Gain a deeper understanding of the mechanics behind automatic differentiation and its evolving applications.
• Computational scientists and engineers: Find practical strategies to implement AD in design optimization and inverse problems, making your computational processes more efficient and effective.

Whether you’re a seasoned professional or just starting to explore automatic differentiation, this book will provide the foundational knowledge and advanced insights you need.

Where to Get It

You can find “Advances in Automatic Differentiation” on Amazon and purchase a PDF version directly from our store at PDF Elite.

Don’t miss out on this crucial resource for mastering automatic differentiation and advancing your computational skills!