Discrete Inverse Problems: Insight and Algorithms (Fundamentals of Algorithms)
Discrete Inverse Problems: Insight and Algorithms delves into the core principles and computational techniques for solving discrete inverse problems. Part of the Fundamentals of Algorithms series, it equips readers with essential knowledge for handling ill-posed equations in mathematics and related applications, emphasizing practical algorithmic approaches.
About This Book
Discrete inverse problems involve reconstructing unknown quantities from discrete data, often in the context of ill-posed mathematical formulations. This book offers a comprehensive look at the insights and algorithms essential for tackling these challenges within the Fundamentals of Algorithms series.
Authored by Per Christian Hansen, it emphasizes practical methods for regularization and iterative solutions, making complex concepts accessible to researchers and practitioners in computational fields.
The content is structured to build from theoretical foundations to algorithmic implementations, ensuring readers gain both understanding and applicable tools for real-world inverse problem solving.
With a focus on discrete settings, the book addresses key issues like stability and convergence, providing a solid resource for advanced studies in numerical analysis.
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