Cover Image

Nonlinear constrained optimization of Schur test functions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Anikushin, Mikhail, Romanov, Andrey
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control Dynamical Systems 37L15, 90C26, 90C30, 90C90
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust upper estimates for topological entropy via nonlinear constrained optimization over adapted metrics
by: Anikushin, Mikhail, et al.
Published: (2025)

On Tackling High-Dimensional Nonconvex Stochastic Optimization via Stochastic First-Order Methods with Non-smooth Proximal Terms and Variance Reduction
by: Xie, Yue, et al.
Published: (2025)

A Stochastic Quasi-Newton Method in the Absence of Common Random Numbers
by: Menickelly, Matt, et al.
Published: (2023)

A heavy-ball type curve search method for smooth convexly constrained optimization
by: Donnini, Federica, et al.
Published: (2026)

On convergence of a $q$-random coordinate constrained algorithm for non-convex problems
by: Ghaffari-Hadigheh, Alireza, et al.
Published: (2022)

Exploiting cone approximations in an augmented Lagrangian method for conic optimization
by: Fukuda, Mituhiro, et al.
Published: (2024)

New vector transport operators extending a Riemannian CG algorithm to generalized Stiefel manifold with low-rank applications
by: Wang, Xuejie, et al.
Published: (2023)

Asymptotic Convergence and Stability of Adaptive Gradient Methods in Smooth Non-convex Optimization
by: Jin, Ruinan, et al.
Published: (2026)

First- and Second-Order Stochastic Adaptive Regularization with Cubics: High Probability Iteration and Sample Complexity
by: Scheinberg, Katya, et al.
Published: (2023)

Level Constrained First Order Methods for Function Constrained Optimization
by: Boob, Digvijay, et al.
Published: (2022)

Projection-based curve pattern search for black-box optimization over smooth convex sets
by: Jia, Xiaoxi, et al.
Published: (2025)

High Probability Guarantees for Random Reshuffling
by: Yu, Hengxu, et al.
Published: (2023)

Stochastic First-Order Methods with Non-smooth and Non-Euclidean Proximal Terms for Nonconvex High-Dimensional Stochastic Optimization
by: Xie, Yue, et al.
Published: (2024)

A four-operator splitting algorithm for nonconvex and nonsmooth optimization
by: Alcantara, Jan Harold, et al.
Published: (2024)

Penalty decomposition derivative free method for the minimization of partially separable functions over a convex feasible set
by: Cecere, Francesco, et al.
Published: (2025)

ZOBA: An Efficient Single-loop Zeroth-order Bilevel Optimization Algorithm
by: Rando, Marco, et al.
Published: (2026)

Operation of an ambulance fleet under uncertainty
by: Guigues, Vincent, et al.
Published: (2022)

A modified exact penalty approach for general constrained $\ell_0$-sparse optimization problems
by: Kanzow, Christian, et al.
Published: (2025)

A Generalized Version of Chung's Lemma and its Applications
by: Jiang, Li, et al.
Published: (2024)

Benign landscapes for synchronization on spheres via normalized Laplacian matrices
by: McRae, Andrew D.
Published: (2025)

A Surrogate Value Function Formulation for Bilevel Optimization
by: Xu, Mengwei, et al.
Published: (2025)

Bound tightening in lifted formulations: (sub)solver-dependent impact on performance in RLT-based algorithms
by: González-Díaz, Julio, et al.
Published: (2025)

Optimization over convex polyhedra via Hadamard parametrizations
by: Tang, Tianyun, et al.
Published: (2024)

Lagrangian Reformulation for Nonconvex Optimization: Tailoring Problems to Specialized Solvers
by: Quintero, Rodolfo A., et al.
Published: (2024)

Effective Front-Descent Algorithms with Convergence Guarantees
by: Lapucci, Matteo, et al.
Published: (2024)

Combining Gradient Information and Primitive Directions for High-Performance Mixed-Integer Optimization
by: Lapucci, Matteo, et al.
Published: (2024)

A Globally Convergent Gradient Method with Momentum
by: Lapucci, Matteo, et al.
Published: (2024)

Derivative-Free Bilevel Optimization with Inexact Lower-Level Solutions
by: Cesaroni, Edoardo, et al.
Published: (2026)

Improving Convergence Guarantees of Random Subspace Second-order Algorithm for Nonconvex Optimization
by: Higuchi, Rei, et al.
Published: (2024)

Variance-reduced first-order methods for deterministically constrained stochastic nonconvex optimization with strong convergence guarantees
by: Lu, Zhaosong, et al.
Published: (2024)

Clash of MINLP Relaxations: Piecewise Linear vs. Global Parabolic
by: Göß, Adrian
Published: (2026)

Parabolic Approximation & Relaxation for MINLP
by: Göß, Adrian, et al.
Published: (2024)

Benign landscapes of low-dimensional relaxations for orthogonal synchronization on general graphs
by: McRae, Andrew D., et al.
Published: (2023)

Hidden convexity of quadratic systems and its application to quadratic programming
by: Huy, Nguyen Quang, et al.
Published: (2026)

Riemannian Gradient Method with Momentum
by: Leggio, Filippo, et al.
Published: (2026)

A minimal face constant rank constraint qualification for reducible conic programming
by: Andreani, Roberto, et al.
Published: (2023)

Norm-induced Cuts: Outer Approximation for Lipschitzian Constraint Functions
by: Göß, Adrian, et al.
Published: (2024)

Solving Sparse MIQCQPs: Application to the Unit Commitment Problem with ACOPF Constraints
by: Gómez-Casares, Ignacio, et al.
Published: (2025)

Proximal Nonlinear Conjugate Gradient Methods for Composite Optimization
by: Hamana, Shodai, et al.
Published: (2026)

T-semidefinite programming relaxation with third-order tensors for constrained polynomial optimization
by: Marumo, Hiroki, et al.
Published: (2024)