Inequality constrained stochastic nonlinear optimization via active-set sequential quadratic programming
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Publication:6052061
DOI10.1007/s10107-023-01935-7arXiv2109.11502OpenAlexW3200021914MaRDI QIDQ6052061
Mihai Anitescu, Mladen Kolar, Sen Na
Publication date: 23 October 2023
Published in: Mathematical Programming. Series A. Series B (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2109.11502
stochastic optimizationsequential quadratic programminginequality constraintsexact augmented Lagrangian
Nonconvex programming, global optimization (90C26) Stochastic programming (90C15) Methods of successive quadratic programming type (90C55)
Cites Work
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- A primal-dual algorithm for nonlinear programming exploiting negative curvature directions
- Smoothing augmented Lagrangian method for nonsmooth constrained optimization problems
- Sample size selection in optimization methods for machine learning
- A nonmonotone truncated Newton-Krylov method exploiting negative curvature directions, for large scale unconstrained optimization
- A constrained maximum-likelihood approach to estimating switching regressions
- Recursive quadratic programming algorithm that uses an exact augmented Lagrangian function
- New results on a class of exact augmented Lagrangians
- A new augmented Lagrangian function for inequality constraints in nonlinear programming problems
- Global convergence rate analysis of unconstrained optimization methods based on probabilistic models
- Stochastic optimization using a trust-region method and random models
- Line search methods with variable sample size for unconstrained optimization
- CUTEst: a constrained and unconstrained testing environment with safe threads for mathematical optimization
- A truncated Newton method in an augmented Lagrangian framework for nonlinear programming
- An Augmented Lagrangian Function with Improved Exactness Properties
- A sequential quadratic programming algorithm with an additional equality constrained phase
- Hybrid Deterministic-Stochastic Methods for Data Fitting
- Convergence of Trust-Region Methods Based on Probabilistic Models
- An exact penalty-Lagrangian approach for large-scale nonlinear programming
- A Continuously Differentiable Exact Penalty Function for Nonlinear Programming Problems with Inequality Constraints
- An exact penalty function method with global convergence properties for nonlinear programming problems
- A New Class of Augmented Lagrangians in Nonlinear Programming
- New Results on a Continuously Differentiable Exact Penalty Function
- Inequality Constrained Least-Squares Estimation
- State-of-the-Art-Survey—Stochastic Programming: Computation and Applications
- Complexity and global rates of trust-region methods based on probabilistic models
- Adaptive Sampling Strategies for Stochastic Optimization
- Constrained Maximum Likelihood Estimation of Relative Abundances of Protein Conformation in a Heterogeneous Mixture From Small Angle X-Ray Scattering Intensity Measurements
- A NOTE ON THE SQUARED SLACK VARIABLES TECHNIQUE FOR NONLINEAR OPTIMIZATION
- Optimization Methods for Large-Scale Machine Learning
- Scalable Nonlinear Programming via Exact Differentiable Penalty Functions and Trust-Region Newton Methods
- Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization
- Global Convergence Rate Analysis of a Generic Line Search Algorithm with Noise
- A Stochastic Line Search Method with Expected Complexity Analysis
- Convergence to Second-Order Stationary Points of a Primal-Dual Algorithm Model for Nonlinear Programming
- An Introduction to Matrix Concentration Inequalities
- LSOS: Line-search second-order stochastic optimization methods for nonconvex finite sums
- An adaptive stochastic sequential quadratic programming with differentiable exact augmented Lagrangians
- Accelerating stochastic sequential quadratic programming for equality constrained optimization using predictive variance reduction
- Constrained Optimization in the Presence of Noise
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