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math.OC2019
Solving Chance-Constrained Problems via a Smooth Sample-Based Nonlinear Approximation
Alejandra Peña-Ordieres, James R. Luedtke, Andreas Wächter
We introduce a new method for solving nonlinear continuous optimization problems with chance constraints. Our method is based on a reformulation of the probabilistic constraint as…
math.OC2015★ 4 cited
A Second-Order Method for Convex -Regularized Optimization with Active Set Prediction
Nitish Shirish Keskar, Jorge Nocedal, Figen Oztoprak +1
We describe an active-set method for the minimization of an objective function that is the sum of a smooth convex function and an -regularization term. A distinctive fe…