£135.99

De Gruyter Sparse Recovery: Theoretical and Numerical Methods

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Description

Explore the essential principles of sparse recovery with this specialized collection from De Gruyter. Part of the Radon Series on Computational and Applied Mathematics, this volume presents a unique set of four lecture notes that serve as a foundational resource for the field. This work covers compressed sensing and its growing connections to mathematical imaging, inverse problems, numerical analysis, and simulation. By bridging these different branches of mathematics, the text provides a comprehensive view of how sparse recovery functions within modern computational frameworks. Designed for a wide academic audience, this collection is an ideal resource for researchers and students. It is structured to serve as a primary textbook for graduate-level courses, offering clear insights into the theoretical foundations and numerical methods required for advanced study in applied mathematics.

Key Features

Includes a unique collection of four lecture notes specifically focused on the field of sparse recovery.

Provides detailed coverage of compressed sensing and its relationship to mathematical imaging.

Connects sparse recovery concepts to inverse problems, numerical analysis, and simulation.

Functions as an effective textbook for graduate-level mathematics courses.

Part of the recognized Radon Series on Computational and Applied Mathematics.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
16 July 2010
Listed Since
28 June 2010

Barcode

No barcode data available

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