Efficient globalization of heavy-ball type methods for unconstrained optimization based on curve searches
Fuente:
arXiv
Saved in:
| Main Authors: | Donnini, Federica, Lapucci, Matteo, Mansueto, Pierluigi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A heavy-ball type curve search method for smooth convexly constrained optimization
by: Donnini, Federica, et al.
Published: (2026)
by: Donnini, Federica, et al.
Published: (2026)
Projection-based curve pattern search for black-box optimization over smooth convex sets
by: Jia, Xiaoxi, et al.
Published: (2025)
by: Jia, Xiaoxi, et al.
Published: (2025)
Effective Front-Descent Algorithms with Convergence Guarantees
by: Lapucci, Matteo, et al.
Published: (2024)
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)
by: Lapucci, Matteo, et al.
Published: (2024)
Cardinality-Constrained Multi-Objective Optimization: Novel Optimality Conditions and Algorithms
by: Lapucci, Matteo, et al.
Published: (2023)
by: Lapucci, Matteo, et al.
Published: (2023)
Universal heavy-ball method for nonconvex optimization under Hölder continuous Hessians
by: Marumo, Naoki, et al.
Published: (2023)
by: Marumo, Naoki, et al.
Published: (2023)
A globalization of L-BFGS and the Barzilai-Borwein method for nonconvex unconstrained optimization
by: Mannel, Florian
Published: (2024)
by: Mannel, Florian
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)
by: Cecere, Francesco, et al.
Published: (2025)
Effectively Leveraging Momentum Terms in Stochastic Line Search Frameworks for Fast Optimization of Finite-Sum Problems
by: Lapucci, Matteo, et al.
Published: (2024)
by: Lapucci, Matteo, et al.
Published: (2024)
Convergence Conditions for Stochastic Line Search Based Optimization of Over-parametrized Models
by: Lapucci, Matteo, et al.
Published: (2024)
by: Lapucci, Matteo, et al.
Published: (2024)
A Globally Convergent Gradient Method with Momentum
by: Lapucci, Matteo, et al.
Published: (2024)
by: Lapucci, Matteo, et al.
Published: (2024)
A Nonmonotone Front Descent Method for Bound-Constrained Multi-Objective Optimization
by: Mansueto, Pierluigi
Published: (2025)
by: Mansueto, Pierluigi
Published: (2025)
Proximal methods for structured nonsmooth optimization over Riemannian submanifolds
by: Li, Qia, et al.
Published: (2024)
by: Li, Qia, et al.
Published: (2024)
A novel numerical method tailored for unconstrained optimization problems
by: Li, Lin, et al.
Published: (2025)
by: Li, Lin, et al.
Published: (2025)
HPR-QP: A dual Halpern Peaceman-Rachford method for solving large-scale convex composite quadratic programming
by: Chen, Kaihuang, et al.
Published: (2025)
by: Chen, Kaihuang, et al.
Published: (2025)
On the Computation of the Efficient Frontier in Advanced Sparse Portfolio Optimization
by: Annunziata, Arturo, et al.
Published: (2025)
by: Annunziata, Arturo, et al.
Published: (2025)
On Difference-of-SOS and Difference-of-Convex-SOS Decompositions for Polynomials
by: Niu, Yi-Shuai, et al.
Published: (2018)
by: Niu, Yi-Shuai, et al.
Published: (2018)
Range of optimal values in absolute value linear programming with interval data
by: Hladík, Milan
Published: (2025)
by: Hladík, Milan
Published: (2025)
Oracle complexities of augmented Lagrangian methods for nonsmooth manifold optimization
by: Deng, Kangkang, et al.
Published: (2024)
by: Deng, Kangkang, et al.
Published: (2024)
Solving nonconvex optimization problems via a second order dynamical system with unbounded damping
by: László, Szilárd Csaba
Published: (2025)
by: László, Szilárd Csaba
Published: (2025)
Inexact Restoration via random models for unconstrained noisy optimization
by: Morini, Benedetta, et al.
Published: (2024)
by: Morini, Benedetta, et al.
Published: (2024)
HPR-LP: An implementation of an HPR method for solving linear programming
by: Chen, Kaihuang, et al.
Published: (2024)
by: Chen, Kaihuang, et al.
Published: (2024)
Steering exact penalty DCA for nonsmooth DC optimization problems with equality and inequality constraints
by: Dolgopolik, M. V.
Published: (2021)
by: Dolgopolik, M. V.
Published: (2021)
Binno: A 1st-order method for Bi-level Nonconvex Nonsmooth Optimization for Matrix Factorizations
by: Selicato, Laura, et al.
Published: (2025)
by: Selicato, Laura, et al.
Published: (2025)
A modified exact penalty approach for general constrained $\ell_0$-sparse optimization problems
by: Kanzow, Christian, et al.
Published: (2025)
by: Kanzow, Christian, et al.
Published: (2025)
Randomized block proximal method with locally Lipschitz continuous gradient
by: Pérez-Aros, Pedro, et al.
Published: (2025)
by: Pérez-Aros, Pedro, et al.
Published: (2025)
A min-max reformulation and proximal algorithms for a class of structured nonsmooth fractional optimization problems
by: Zhou, Junpeng, et al.
Published: (2025)
by: Zhou, Junpeng, et al.
Published: (2025)
Relaxed Weak Accelerated Proximal Gradient Method: a Unified Framework for Nesterov's Accelerations
by: Li, Hongda, et al.
Published: (2025)
by: Li, Hongda, et al.
Published: (2025)
Heavy-ball Differential Equation Achieves $O(\varepsilon^{-7/4})$ Convergence for Nonconvex Functions
by: Okamura, Kaito, et al.
Published: (2024)
by: Okamura, Kaito, et al.
Published: (2024)
Affine Normal Directions via Log-Determinant Geometry: Scalable Computation under Sparse Polynomial Structure
by: Niu, Yi-Shuai, et al.
Published: (2026)
by: Niu, Yi-Shuai, et al.
Published: (2026)
Clash of MINLP Relaxations: Piecewise Linear vs. Global Parabolic
by: Göß, Adrian
Published: (2026)
by: Göß, Adrian
Published: (2026)
Parabolic Approximation & Relaxation for MINLP
by: Göß, Adrian, et al.
Published: (2024)
by: Göß, Adrian, et al.
Published: (2024)
Hidden convexity of quadratic systems and its application to quadratic programming
by: Huy, Nguyen Quang, et al.
Published: (2026)
by: Huy, Nguyen Quang, et al.
Published: (2026)
Proximal Gradient Descent Ascent Methods for Nonsmooth Nonconvex-Concave Minimax Problems on Riemannian Manifolds
by: Xie, Xiyuan, et al.
Published: (2025)
by: Xie, Xiyuan, et al.
Published: (2025)
Convergence-Guaranteed Algorithms for l1/2-Regularized Quadratic Programs with Assignment Constraints
by: Xie, Lijun, et al.
Published: (2025)
by: Xie, Lijun, et al.
Published: (2025)
Local Convergence Analysis of ADMM for Nonconvex Composite Optimization
by: Xie, Xiyuan, et al.
Published: (2026)
by: Xie, Xiyuan, et al.
Published: (2026)
On the Relationships among GPU-Accelerated First-Order Methods for Solving Linear Programming
by: Chen, Kaihuang, et al.
Published: (2025)
by: Chen, Kaihuang, et al.
Published: (2025)
On a globally convergent semismooth* Newton method in nonsmooth nonconvex optimization
by: Gfrerer, H.
Published: (2024)
by: Gfrerer, H.
Published: (2024)
Kinetic description and convergence analysis of genetic algorithms for global optimization
by: Borghi, Giacomo, et al.
Published: (2023)
by: Borghi, Giacomo, et al.
Published: (2023)
The Augmented Mixing Method: Computing High-Accuracy Primal-Dual Solutions to Large-Scale SDPs via Column Updates
by: Brosch, Daniel, et al.
Published: (2025)
by: Brosch, Daniel, et al.
Published: (2025)
Similar Items
-
A heavy-ball type curve search method for smooth convexly constrained optimization
by: Donnini, Federica, et al.
Published: (2026) -
Projection-based curve pattern search for black-box optimization over smooth convex sets
by: Jia, Xiaoxi, et al.
Published: (2025) -
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) -
Cardinality-Constrained Multi-Objective Optimization: Novel Optimality Conditions and Algorithms
by: Lapucci, Matteo, et al.
Published: (2023)