Entropic Regularization of the ℓ 0 Function
From MaRDI portal
Publication:2897276
DOI10.1007/978-1-4419-9569-8_5zbMath1357.49115OpenAlexW62292376MaRDI QIDQ2897276
Jonathan M. Borwein, D. Russell Luke
Publication date: 10 July 2012
Published in: Springer Optimization and Its Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-1-4419-9569-8_5
Nonlinear programming (90C30) Numerical optimization and variational techniques (65K10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Duality theory (optimization) (49N15) Numerical methods of relaxation type (49M20)
Related Items
Regularity properties of non-negative sparsity sets ⋮ DOUGLAS–RACHFORD FEASIBILITY METHODS FOR MATRIX COMPLETION PROBLEMS ⋮ Maximum entropy and feasibility methods for convex and nonconvex inverse problems ⋮ Restricted normal cones and sparsity optimization with affine constraints ⋮ A note on the complexity of \(L _{p }\) minimization ⋮ Imaging with highly incomplete and corrupted data
Cites Work
- Unnamed Item
- Convex analysis and nonlinear optimization. Theory and examples.
- Exact matrix completion via convex optimization
- Sparse representations in unions of bases
- Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
- Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
- From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
- Finding Best Approximation Pairs Relative to a Convex and Prox-Regular Set in a Hilbert Space
- Linear Inversion of Band-Limited Reflection Seismograms
- Atomic Decomposition by Basis Pursuit
- Variational Analysis
- Relaxed averaged alternating reflections for diffraction imaging
- Sparse Approximate Solutions to Linear Systems
- Duality and Convex Programming
- Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ 1 minimization