Login / Signup

A Convex Optimization Framework for the Inverse Problem of Identifying a Random Parameter in a Stochastic Partial Differential Equation.

Baasansuren JadambaAkhtar A. KhanMiguel SamaHans-Jörg StarkloffChristiane Tammer
Published in: SIAM/ASA J. Uncertain. Quantification (2021)
Keyphrases
  • convex optimization
  • partial differential equations
  • inverse problems
  • norm minimization
  • interior point methods
  • image processing
  • image enhancement
  • anisotropic diffusion
  • operator splitting
  • primal dual