Efficient proximal subproblem solvers for a nonsmooth trust-region method.

Local convergence analysis of an inexact trust-region method for nonsmooth optimization.

Efficient and robust optimal design for quantile regression based on linear programming.

A relaxation-based probabilistic approach for PDE-constrained optimization under uncertainty with pointwise state constraints.

ALESQP: An Augmented Lagrangian Equality-Constrained SQP Method for Optimization with General Constraints.

A proximal trust-region method for nonsmooth optimization with inexact function and gradient evaluations.

Corrigendum: "Existence and Optimality Conditions for Risk-Averse PDE-Constrained Optimization".

Surrogate modeling for efficiently, accurately and conservatively estimating measures of risk.

A matrix-free trust-region newton algorithm for convex-constrained optimization.

A primal-dual algorithm for risk minimization.

A Locally Adapted Reduced-Basis Method for Solving Risk-Averse PDE-Constrained Optimization Problems.

Risk-Adapted Optimal Experimental Design.

Spectral, Tensor and Domain Decomposition Methods for Fractional PDEs.

KKT Preconditioners for PDE-Constrained Optimization with the Helmholtz Equation.

Randomized Sketching Algorithms for Low-Memory Dynamic Optimization.

Risk-Averse Control of Fractional Diffusion with Uncertain Exponent.

Epi-Regularization of Risk Measures.

Correction to: Higher-moment buffered probability.

Higher-moment buffered probability.

Spectral risk measures: the risk quadrangle and optimal approximation.

An Efficient, Globally Convergent Method for Optimization Under Uncertainty Using Adaptive Model Reduction and Sparse Grids.

Existence and Optimality Conditions for Risk-Averse PDE-Constrained Optimization.

A Measure Approximation for Distributionally Robust PDE-Constrained Optimization Problems.

Risk-Averse PDE-Constrained Optimization Using the Conditional Value-At-Risk.

Inexact Objective Function Evaluations in a Trust-Region Algorithm for PDE-Constrained Optimization under Uncertainty.

A Multilevel Stochastic Collocation Algorithm for Optimization of PDEs with Uncertain Coefficients.

A Trust-Region Algorithm with Adaptive Stochastic Collocation for PDE Optimization under Uncertainty.