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Small-Gain Theorem Based Distributed Prescribed-Time Convex Optimization For Networked Euler-Lagrange Systems.

Gewei ZuoMengmou LiLijun Zhu
Published in: CoRR (2024)
Keyphrases
  • convex optimization
  • interior point methods
  • low rank
  • total variation
  • primal dual
  • norm minimization
  • machine learning
  • computer vision
  • high quality
  • multiresolution
  • denoising
  • image restoration
  • bayesian framework