:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bolton, R., Németh, S. Z.
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control
Online Access:	https://arxiv.org/abs/2406.04205
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Complexity of Minimizing Regularized Convex Quadratic Functions
by: Thomsen, Daniel Berg, et al.
Published: (2024)

Global and Robust Optimization for Non-Convex Quadratic Programs
by: Marousi, Asimina, et al.
Published: (2025)

About the kernel of the strongly quasiconvex function generated projection
by: Németh, A. B., et al.
Published: (2025)

Constructing Tight Quadratic Relaxations for Global Optimization: II. Underestimating Difference-of-Convex (D.C.) Functions
by: Strahl, William R., et al.
Published: (2024)

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

On the Surprising Robustness of Sequential Convex Optimization for Contact-Implicit Motion Planning
by: Li, Yulin, et al.
Published: (2025)

On Representing Convex Quadratically Constrained Quadratic Programs via Graph Neural Networks
by: Wu, Chenyang, et al.
Published: (2024)

Linear Complementarity Problem on the Monotone Extended Second Order Cone
by: Gao, Yingchao, et al.
Published: (2022)

A Log-domain Interior Point Method for Convex Quadratic Games
by: Liu, Bingqi, et al.
Published: (2024)

Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem
by: Guo, Cheng, et al.
Published: (2022)

Solving Convex Quadratic Optimization with Indicators Over Structured Graphs
by: Bhathena, Aaresh, et al.
Published: (2026)

What are Capra-Convex Sets?
by: Chancelier, Jean-Philippe, et al.
Published: (2025)

An Efficient Solution Method for Solving Convex Separable Quadratic Optimization Problems
by: Li, Shaoze, et al.
Published: (2025)

A Quadratically-Constrained Convex Approximation for the AC Optimal Power Flow
by: Constante-Flores, Gonzalo E., et al.
Published: (2025)

Estimating Sequences with Memory for Minimizing Convex Non-smooth Composite Functions
by: Dosti, Endrit, et al.
Published: (2025)

A Parametric Approach for Solving Convex Quadratic Optimization with Indicators Over Trees
by: Bhathena, Aaresh, et al.
Published: (2024)

Frictionless Hamiltonian Descent and Coordinate Hamiltonian Descent for Strongly Convex Quadratic Problems
by: Wang, Jun-Kun
Published: (2024)

Perturbed Gradient Descent via Convex Quadratic Approximation for Nonconvex Bilevel Optimization
by: Abolfazli, Nazanin, et al.
Published: (2025)

Revisiting Strong Duality, Hidden Convexity, and Gradient Dominance in the Linear Quadratic Regulator
by: Watanabe, Yuto, et al.
Published: (2025)

The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training
by: Schaipp, Fabian, et al.
Published: (2025)

Dual Averaging With Non-Strongly-Convex Prox-Functions: New Analysis and Algorithm
by: Zhao, Renbo
Published: (2025)

Duality for Non Convex Composite Functions via the Fenchel Rockafellar Perturbation Framework
by: Latorre, Vittorio
Published: (2025)

On Convergence of Incremental Gradient for Non-Convex Smooth Functions
by: Koloskova, Anastasia, et al.
Published: (2023)

A Practical and Optimal First-Order Method for Large-Scale Convex Quadratic Programming
by: Lu, Haihao, et al.
Published: (2023)

Scalable Global Optimization for AC-OPF via Quadratic Convex Relaxation and Branch-and-Bound
by: Iranpour, Mohammadreza, et al.
Published: (2025)

The Symmetry Coefficient of Positively Homogeneous Functions
by: Nilsson, Max, et al.
Published: (2025)

Learning Parametric Convex Functions
by: Schaller, Maximilian, et al.
Published: (2025)

A Convex Optimization Approach to Compute Trapping Regions for Lossless Quadratic Systems
by: Liao, Shih-Chi, et al.
Published: (2024)

Online Convex Optimization and Integral Quadratic Constraints: An automated approach to regret analysis
by: Jakob, Fabian, et al.
Published: (2025)

Optimal Acceleration for Proximal Minimization of the Sum of Convex and Strongly Convex Functions
by: Chari, Govind M., et al.
Published: (2026)

A subdifferential characterization via Busemann functions and applications to DC optimization on Hadamard manifolds
by: Ferreira, O. P., et al.
Published: (2026)

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling
by: Yang, Linxin, et al.
Published: (2024)

The Method of Ellipcenters for Strongly Convex Functions
by: Bello-Cruz, Yunier
Published: (2026)

Asymptotic Weighted Approximation of Convex Functions
by: Baêta, Fernanda M.
Published: (2025)

Convex Reformulation of LMI-Based Distributed Controller Design with a Class of Non-Block-Diagonal Lyapunov Functions
by: Watanabe, Yuto, et al.
Published: (2024)

Economic Linear Quadratic MPC With Non-Unique Optimal Solutions
by: Zanon, Mario
Published: (2025)

Linearly involved Generalized Moreau Enhanced Model with Non-quadratic Smooth Convex Data Fidelity Functions
by: Yata, Wataru, et al.
Published: (2025)

Broximal Alignment for Global Non-Convex Optimization
by: Gruntkowska, Kaja, et al.
Published: (2026)

Continuized Nesterov Acceleration for Non-Convex Optimization
by: Hermant, Julien, et al.
Published: (2025)

Linear Convergence of a Unified Primal--Dual Algorithm for Convex--Concave Saddle Point Problems with Quadratic Growth
by: Melcher, Cody, et al.
Published: (2025)