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Sparse optimization theory and methods /

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Bibliographic Details
Main Author: Zhao, Yun-Bin (Author)
Corporate Authors: Taylor & Francis, Taylor and Francis
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, an imprint of Taylor and Francis, 2018.
Edition:First edition.
Subjects:
Mathematical optimization.
MATHEMATICS / Applied.
MATHEMATICS / Probability & Statistics / General.
BUSINESS & ECONOMICS / Statistics.
MATHEMATICS / Arithmetic.
Convex Optimization.
Dantzig Selector.
Data Reconstruction.
L1-Minimization.
Lasso.
Linear Optimization.
Null Space Property.
RSP.
Range Space Property.
Sparse Representation.
Sparse Signal Recovery.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • chapter 1 Uniqueness of the Sparsest Solution of Linear Systems
  • chapter 2 Uniqueness of Solutions to l1-Minimization Problems
  • chapter 3 Equivalence of l0- and l1-Minimization
  • chapter 1 1-Bit Compressed Sensing
  • chapter 5 Stability of Linear Sparse Optimization Methods
  • chapter 6 Stability of Nonlinear Sparse Optimization Methods
  • chapter 7 Reweighted l1-Algorithms
  • chapter 8 Sparsity via Dual Density.