Partial gradient optimal thresholding algorithms for a class of sparse optimization problems
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-2916
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Partial gradient optimal thresholding algorithms for a class of sparse optimization problems ; day:23 ; month:2 ; year:2022 ; pages:1-21
Journal of global optimization ; (23.2.2022), 1-21
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10898-022-01143-1
- URN
-
urn:nbn:de:101:1-2022052519522243184062
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:19 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Meng, Nan
- Zhao, Yun-Bin
- Kočvara, Michal
- Sun, Zhongfeng
- SpringerLink (Online service)
Other Objects (12)
Newton-Type Optimal Thresholding Algorithms for Sparse Optimization Problems
On convergence of iterative thresholding algorithms to approximate sparse solution for composite nonconvex optimization
Lebesgue constants for Chebyshev thresholding greedy algorithms
Riemannian thresholding methods for row-sparse and low-rank matrix recovery
Riemannian thresholding methods for row-sparse and low-rank matrix recovery
Improved iterative shrinkage-thresholding for sparse signal recovery via Laplace mixtures models
Deterministic Sparse FFT Algorithms
Faster Algorithms for Sparse Fourier Transform
Sparse Frequency Estimation : Stability and Algorithms
Compressed Sensing and Sparse Reconstruction Algorithms
Partial Lasserre relaxation for sparse Max-Cut
Discovering sparse interpretable dynamics from partial observations
Newton-Type Optimal Thresholding Algorithms for Sparse Optimization Problems
On convergence of iterative thresholding algorithms to approximate sparse solution for composite nonconvex optimization
Lebesgue constants for Chebyshev thresholding greedy algorithms
Riemannian thresholding methods for row-sparse and low-rank matrix recovery
Riemannian thresholding methods for row-sparse and low-rank matrix recovery
Improved iterative shrinkage-thresholding for sparse signal recovery via Laplace mixtures models
Deterministic Sparse FFT Algorithms
Faster Algorithms for Sparse Fourier Transform
Sparse Frequency Estimation : Stability and Algorithms
Compressed Sensing and Sparse Reconstruction Algorithms
Partial Lasserre relaxation for sparse Max-Cut
Discovering sparse interpretable dynamics from partial observations
Newton-Type Optimal Thresholding Algorithms for Sparse Optimization Problems
On convergence of iterative thresholding algorithms to approximate sparse solution for composite nonconvex optimization
Lebesgue constants for Chebyshev thresholding greedy algorithms
Riemannian thresholding methods for row-sparse and low-rank matrix recovery
Riemannian thresholding methods for row-sparse and low-rank matrix recovery
Improved iterative shrinkage-thresholding for sparse signal recovery via Laplace mixtures models
Deterministic Sparse FFT Algorithms
Faster Algorithms for Sparse Fourier Transform
Sparse Frequency Estimation : Stability and Algorithms
Compressed Sensing and Sparse Reconstruction Algorithms
Partial Lasserre relaxation for sparse Max-Cut