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math.OC2023
Almost-sure convergence of iterates and multipliers in stochastic sequential quadratic optimization
Frank E. Curtis, Xin Jiang, Qi Wang
Stochastic sequential quadratic optimization (SQP) methods for solving continuous optimization problems with nonlinear equality constraints have attracted attention recently, such…
math.OC2023
A Stochastic-Gradient-based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems
Frank E. Curtis, Vyacheslav Kungurtsev, Daniel P. Robinson +1
A stochastic-gradient-based interior-point algorithm for minimizing a continuously differentiable objective function (that may be nonconvex) subject to bound constraints is present…