A black-box optimization method with polynomial-based kernels and quadratic-optimization annealing
Fuente:
arXiv
Saved in:
| Main Authors: | Minamoto, Yuki, Sakamoto, Yuya |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A new polynomially solvable class of quadratic optimization problems with box constraints
by: Hladík, Milan, et al.
Published: (2019)
by: Hladík, Milan, et al.
Published: (2019)
Local convergence analysis of stabilized sequential quadratic programming methods for optimization problems in Banach spaces
by: Yamakawa, Yuya
Published: (2025)
by: Yamakawa, Yuya
Published: (2025)
A polynomial-time solvable class of sparse box-constrained polynomial optimization problems
by: Khajavirad, Aida
Published: (2026)
by: Khajavirad, Aida
Published: (2026)
Superlinear and quadratic convergence of a stabilized sequential quadratic semidefinite programming method for nonlinear semidefinite programming problems
by: Yamakawa, Yuya
Published: (2022)
by: Yamakawa, Yuya
Published: (2022)
Alternating direction method of multipliers for polynomial optimization
by: Cerone, V., et al.
Published: (2025)
by: Cerone, V., et al.
Published: (2025)
Convergence analysis of a regularized Newton method with generalized regularization terms for convex optimization problems
by: Yamakawa, Yuya, et al.
Published: (2024)
by: Yamakawa, Yuya, et al.
Published: (2024)
Robustness of optimal quantum annealing protocols
by: Funcke, Niklas, et al.
Published: (2024)
by: Funcke, Niklas, et al.
Published: (2024)
A kernel-based stochastic approximation framework for contextual optimization
by: Cao, Hao, et al.
Published: (2025)
by: Cao, Hao, et al.
Published: (2025)
On the construction of a gradient method of quadratic optimization, optimal from the point of view of minimizing the distance to the exact solution
by: Pletnev, N. V.
Published: (2025)
by: Pletnev, N. V.
Published: (2025)
Augmented Lagrangian methods for convex optimization with priority constraints via an infeasibility control framework
by: Yamakawa, Yuya, et al.
Published: (2026)
by: Yamakawa, Yuya, et al.
Published: (2026)
Finding quadratic underestimators for optimal value functions of nonconvex all-quadratic problems via copositive optimization
by: Gabl, Markus, et al.
Published: (2024)
by: Gabl, Markus, et al.
Published: (2024)
An instability result of Hamiltonian systems related to optimal swing-up control of a pendulum
by: Sakamoto, Noboru
Published: (2024)
by: Sakamoto, Noboru
Published: (2024)
A condensing approach for linear-quadratic optimization with geometric constraints
by: De Marchi, Alberto
Published: (2025)
by: De Marchi, Alberto
Published: (2025)
A polynomial-based QCQP solver for encrypted optimization
by: Schlor, Sebastian, et al.
Published: (2025)
by: Schlor, Sebastian, et al.
Published: (2025)
A novel exact approach to polynomial optimization
by: Bertsimas, Dimitris, et al.
Published: (2025)
by: Bertsimas, Dimitris, et al.
Published: (2025)
Exact algorithms for quadratic optimization over roots of unity
by: Al-Sulami, Ahmad, et al.
Published: (2025)
by: Al-Sulami, Ahmad, et al.
Published: (2025)
Riemannian optimal reduction for linear systems with quadratic outputs
by: Wang, Xiaolong, et al.
Published: (2026)
by: Wang, Xiaolong, et al.
Published: (2026)
Global optimization of low-rank polynomials
by: Gaggioli, Llorenç Balada, et al.
Published: (2025)
by: Gaggioli, Llorenç Balada, et al.
Published: (2025)
Homogenization for polynomial optimization with unbounded sets
by: Huang, Lei, et al.
Published: (2021)
by: Huang, Lei, et al.
Published: (2021)
A unified framework for inexact adaptive stepsizes in the gradient methods, the conjugate gradient methods and the quasi-Newton methods for strictly convex quadratic optimization
by: Liu, Zexian
Published: (2026)
by: Liu, Zexian
Published: (2026)
A model reduction method based on nonlinear optimization for multiscale stochastic optimal control problems
by: Ma, Lingling, et al.
Published: (2025)
by: Ma, Lingling, et al.
Published: (2025)
Kinetic simulated annealing optimization with entropy-based cooling rate
by: Herty, Michael, et al.
Published: (2025)
by: Herty, Michael, et al.
Published: (2025)
A quadratic Grassmann manifold optimization problem arising from quantum embedding methods
by: Ayral, Thomas, et al.
Published: (2026)
by: Ayral, Thomas, et al.
Published: (2026)
BONSAI: Structure-exploiting robust Bayesian optimization for networked black-box systems under uncertainty
by: Kudva, Akshay, et al.
Published: (2025)
by: Kudva, Akshay, et al.
Published: (2025)
Complexity of linearized quadratic penalty for optimization with nonlinear equality constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2024)
by: Bourkhissi, Lahcen El, et al.
Published: (2024)
An approximate Itô-SDE based simulated annealing algorithm for multivariate design optimization problems
by: Batou, A.
Published: (2019)
by: Batou, A.
Published: (2019)
Convergence rates for polynomial optimization on set products
by: Magron, Victor
Published: (2025)
by: Magron, Victor
Published: (2025)
Composition and tensor train structure in polynomial optimization
by: Gaggioli, Llorenç Balada, et al.
Published: (2026)
by: Gaggioli, Llorenç Balada, et al.
Published: (2026)
Degree reduction techniques for polynomial optimization problems
by: González-Rodríguez, Brais, et al.
Published: (2024)
by: González-Rodríguez, Brais, et al.
Published: (2024)
Modified Armijo line search in optimization on Riemannian submanifolds with reduced computational cost
by: Sato, Hiroyuki, et al.
Published: (2023)
by: Sato, Hiroyuki, et al.
Published: (2023)
Robust and structure exploiting optimization algorithms: An integral quadratic constraint approach
by: Michalowsky, Simon, et al.
Published: (2019)
by: Michalowsky, Simon, et al.
Published: (2019)
Subdifferentially polynomially bounded functions and Gaussian smoothing-based zeroth-order optimization
by: Lei, Ming, et al.
Published: (2024)
by: Lei, Ming, et al.
Published: (2024)
Near optimal controls for partially observed stochastic linear quadratic problems
by: Sun, Jingrui, et al.
Published: (2025)
by: Sun, Jingrui, et al.
Published: (2025)
Riemannian optimization for model order reduction of linear systems with quadratic outputs
by: Wang, Xiaolong, et al.
Published: (2025)
by: Wang, Xiaolong, et al.
Published: (2025)
Inverse optimal control problem in the non autonomous linear-quadratic case
by: Jean, Frédéric, et al.
Published: (2024)
by: Jean, Frédéric, et al.
Published: (2024)
Decision-dependent distributionally robust standard quadratic optimization with Wasserstein ambiguity
by: Bomze, Immanuel M., et al.
Published: (2026)
by: Bomze, Immanuel M., et al.
Published: (2026)
A strong second-order sequential optimality condition for nonlinear programming problems
by: Li, Huimin, et al.
Published: (2025)
by: Li, Huimin, et al.
Published: (2025)
Towards safe Bayesian optimization with Wiener kernel regression
by: Molodchyk, Oleksii, et al.
Published: (2024)
by: Molodchyk, Oleksii, et al.
Published: (2024)
Factorized binary polynomial optimization
by: Del Pia, Alberto
Published: (2024)
by: Del Pia, Alberto
Published: (2024)
Rank conditions for exactness of semidefinite relaxations in polynomial optimization
by: Lasserre, Jean B
Published: (2025)
by: Lasserre, Jean B
Published: (2025)
Similar Items
-
A new polynomially solvable class of quadratic optimization problems with box constraints
by: Hladík, Milan, et al.
Published: (2019) -
Local convergence analysis of stabilized sequential quadratic programming methods for optimization problems in Banach spaces
by: Yamakawa, Yuya
Published: (2025) -
A polynomial-time solvable class of sparse box-constrained polynomial optimization problems
by: Khajavirad, Aida
Published: (2026) -
Superlinear and quadratic convergence of a stabilized sequential quadratic semidefinite programming method for nonlinear semidefinite programming problems
by: Yamakawa, Yuya
Published: (2022) -
Alternating direction method of multipliers for polynomial optimization
by: Cerone, V., et al.
Published: (2025)