Theoretical foundations and numerical methods for sparse recovery /

The present collection of four lecture notes is the very first contribution of this type in the field of sparse recovery. Compressed sensing is one of the important facets of the broader concept presented in the book, which by now has made connections with other branches such as mathematical imaging...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Fornasier, Massimo
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin ; New York : De Gruyter, ©2010.
Colección:Radon series on computational and applied mathematics ; 9.
Temas:
Sparse matrices.
Equations > Numerical solutions.
Differential equations, Partial > Numerical solutions.
Matrices éparses.
Équations > Solutions numériques.
Équations aux dérivées partielles > Solutions numériques.
MATHEMATICS / Applied.
Differential equations, Partial > Numerical solutions
Equations > Numerical solutions
Sparse matrices
Schwach besetzte Matrix
Optimale Rekonstruktion
Inverses Problem
Numerisches Verfahren
Matrices.
Vergelijkingen (wiskunde)
Numerieke methoden.
Partiële differentiaalvergelijkingen.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Compressive sensing and structured random matrices
  • Numerical methods for sparse recovery
  • Sparse recovery in inverse problems
  • An introduction to total variation for image analysis.

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