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£168.04
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De Gruyter Sparse Recovery & Compressed Sensing - Applied Mathematics Textbook
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Description
Key Features
Four comprehensive lecture notes on sparse recovery theory and applications within the Radon Series on Computational and Applied Mathematics collection.
Connects compressed sensing fundamentals to related fields including mathematical imaging, inverse problems, numerical analysis and simulation.
Designed as a graduate-level textbook suitable for advanced courses in applied mathematics and computational methods.
Published by De Gruyter, a leading academic publisher specialising in mathematics and scientific research.
Combines theoretical foundations with practical numerical methods for implementing sparse recovery algorithms.
Covers the broader concept of sparse recovery beyond compressed sensing alone, offering interdisciplinary perspectives.
Serves both students and researchers in computational mathematics, numerical analysis and applied science disciplines.
Product Specifications
- Brand
- De Gruyter
- Format
- hardcover
- ASIN
- 3110226146
- Domain
- Amazon UK
- Release Date
- 16 July 2010
- Listed Since
- 28 June 2010
Barcode
No barcode data available
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