Cover Image

Composite Optimization using Local Models and Global Approximations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	de Oliveira, Welington, Royset, Johannes O.
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An implementable proximal-type method for computing critical points to minimization problems with a nonsmooth and nonconvex constraint
by: Sempere, Gregorio M., et al.
Published: (2024)

Variational Analysis of a Nonconvex and Nonsmooth Optimization Problem: An Introduction
by: Royset, Johannes O.
Published: (2024)

Approximations of Rockafellians, Lagrangians, and Dual Functions
by: Deride, Julio, et al.
Published: (2024)

On Stability in Optimistic Bilevel Optimization
by: Royset, Johannes O.
Published: (2024)

Approximating Rockafellians Mitigate Distributional Perturbations: Discontinuous Integrands and Chance-Constrained Applications
by: Tian, Lai, et al.
Published: (2025)

Risk-Adaptive Local Decision Rules
by: Royset, Johannes O., et al.
Published: (2023)

Perturbation Duality for Robust and Distributionally Robust Optimization: Short and General Proofs
by: Chen, Louis L., et al.
Published: (2026)

Epi-Consistent Approximation of Stochastic Dynamic Programs
by: Keehan, Dominic S. T., et al.
Published: (2025)

Optimistic Bilevel Optimization with Composite Lower-Level Problem
by: Solla, Mattia, et al.
Published: (2026)

Failure of uniform laws of large numbers for subdifferentials and beyond
by: Tian, Lai, et al.
Published: (2025)

Risk-Adaptive Approaches to Stochastic Optimization: A Survey
by: Royset, Johannes O.
Published: (2022)

Scenario Tree Reduction via Wasserstein Barycenters
by: Mimouni, Daniel, et al.
Published: (2024)

Design of Transit Networks: Global Optimization of Continuous Approximation Models via Geometric Programming
by: Mao, Haoyang, et al.
Published: (2026)

Certifiable Risk-Based Engineering Design Optimization
by: Chaudhuri, Anirban, et al.
Published: (2021)

Safe Zeroth-Order Optimization Using Quadratic Local Approximations
by: Guo, Baiwei, et al.
Published: (2023)

Optimal Control using Composite Bernstein Approximants
by: MacLin, Gage, et al.
Published: (2024)

Inferring Global Exponential Stability Properties using Lie-bracket Approximations
by: Weber, Marc, et al.
Published: (2024)

A variational approach to a cumulative distribution function estimation problem under stochastic ambiguity
by: Deride, Julio, et al.
Published: (2023)

On the (almost) Global Exponential Convergence of the Overparameterized Policy Optimization for the LQR Problem
by: Wafi, Moh Kamalul, et al.
Published: (2025)

A Global-Local Optimization Approach for Asynchronous SAR ADC Design
by: Hao, Yijia, et al.
Published: (2025)

Passivity-Based Local Design Conditions for Global Optimality in Distributed Convex Optimization
by: Jane-Soneira, Pol, et al.
Published: (2025)

Safe-by-Design: Approximate Nonlinear Model Predictive Control with Real Time Feasibility
by: Olucak, Jan, et al.
Published: (2025)

Reducing Simulation Effort for RIS Optimization using an Efficient Far-Field Approximation
by: Lang, Hans-Dieter, et al.
Published: (2025)

Constructing Tight Quadratic Relaxations for Global Optimization: I. Outer-Approximating Twice-Differentiable Convex Functions
by: Strahl, William R., et al.
Published: (2024)

Assortment Optimization and the Sample Average Approximation
by: Khalid, Hassaan, et al.
Published: (2025)

Global Nonconvex Optimization with Integer Variables
by: Bertsimas, Dimitris, et al.
Published: (2025)

On Approximation Algorithms for Commutative Quaternion Polynomial Optimization
by: He, Chang, et al.
Published: (2025)

Approximate Solutions in Linear Fractional Vector Optimization
by: Huong, Nguyen Thi Thu
Published: (2024)

Modified Line Search Sequential Quadratic Methods for Equality-Constrained Optimization with Unified Global and Local Convergence Guarantees
by: Berahas, Albert S., et al.
Published: (2024)

An Abstract Lyapunov Control Optimizer: Local Stabilization and Global Convergence
by: Bensaid, Bilel, et al.
Published: (2024)

A Smooth Approximation Framework for Weakly Convex Optimization
by: Deng, Qi, et al.
Published: (2025)

Distributed Model Predictive Control for Energy and Comfort Optimization in Large Buildings Using Piecewise Affine Approximation
by: Li, Hongyi, et al.
Published: (2026)

Rockafellian Relaxation for PDE-Constrained Optimization with Distributional Uncertainty
by: Antil, Harbir, et al.
Published: (2024)

Convergence and Bound Computation for Chance Constrained Distributionally Robust Models using Sample Approximation
by: Lei, Jiaqi, et al.
Published: (2024)

Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation
by: Xie, Yilin, et al.
Published: (2024)

Private and Robust Distributed Nonconvex Optimization via Polynomial Approximation
by: He, Zhiyu, et al.
Published: (2021)

Maximum Load Assortment Optimization: Approximation Algorithms and Adaptivity Gaps
by: Housni, Omar El, et al.
Published: (2023)

Problem-Driven Scenario Reduction and Scenario Approximation for Robust Optimization
by: Fairbrother, Jamie, et al.
Published: (2024)

An Efficient Global Optimization Algorithm with Adaptive Estimates of the Local Lipschitz Constants
by: D'Agostino, Danny
Published: (2022)

LAGO: A Local-Global Optimization Framework Combining Trust Region Methods and Bayesian Optimization
by: Van Dieren, Eliott, et al.
Published: (2026)