Iterative Optimization in Inverse Problems (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)

Iterative Optimization in Inverse Problems is a comprehensive guide to solving complex problems through iterative optimization methods.

With a focus on medical imaging, this book covers a wide range of algorithms, including SUMMA, barrier- and penalty-function methods, proximal minimization, and forward-backward splitting.

The author provides an overview of sequential optimization, auxiliary-function methods, and the SUMMA class, before delving into specific examples in detail.

This book is suitable for self-study and includes exercises to help readers understand and apply the concepts.

Whether you're a statistician working on parameter estimation or an image scientist processing scanning data, this book will provide you with the tools you need to solve even the most challenging problems.