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Preconditioned Accelerated Gradient Descent Methods for Locally Lipschitz Smooth Objectives with Applications to the Solution of Nonlinear PDEs.

Jea-Hyun ParkAbner J. SalgadoSteven M. Wise
Published in: J. Sci. Comput. (2021)
Keyphrases
  • iterative methods
  • preprocessing
  • significant improvement
  • benchmark datasets
  • learning algorithm
  • computational cost
  • conflicting objectives