An inexact trust-region method is introduced for structured nonsmooth optimization with global convergence guarantees and demonstrated performance on PDE-constrained risk-averse problems.
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An Inexact Trust-Region Method for Structured Nonsmooth Optimization with Application to Risk-Averse Stochastic Programming
An inexact trust-region method is introduced for structured nonsmooth optimization with global convergence guarantees and demonstrated performance on PDE-constrained risk-averse problems.