ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1407.0286
  4. Cited By
DC approximation approaches for sparse optimization

DC approximation approaches for sparse optimization

1 July 2014
Hoai An Le Thi
T. P. Dinh
L. Minh
X. T. Vo
ArXivPDFHTML

Papers citing "DC approximation approaches for sparse optimization"

4 / 4 papers shown
Title
Non-geodesically-convex optimization in the Wasserstein space
Non-geodesically-convex optimization in the Wasserstein space
Hoang Phuc Hau Luu
Hanlin Yu
Bernardo Williams
Petrus Mikkola
Marcelo Hartmann
Kai Puolamaki
Arto Klami
53
2
0
08 Jan 2025
Projection Neural Network for a Class of Sparse Regression Problems with
  Cardinality Penalty
Projection Neural Network for a Class of Sparse Regression Problems with Cardinality Penalty
Wenjing Li
Wei Bian
8
10
0
02 Apr 2020
Distributed Nonconvex Constrained Optimization over Time-Varying
  Digraphs
Distributed Nonconvex Constrained Optimization over Time-Varying Digraphs
G. Scutari
Ying Sun
33
171
0
04 Sep 2018
Parallel and Distributed Successive Convex Approximation Methods for
  Big-Data Optimization
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization
G. Scutari
Ying Sun
35
61
0
17 May 2018
1