Cover Image

Computing local minimizers in polynomial optimization under genericity conditions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hieu, Vu Trung, Takeda, Akiko
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Univariate representations of solutions to generic polynomial complementarity problems
by: Hieu, Vu Trung, et al.
Published: (2024)

Deciding lower-boundedness of polynomials
by: Duc, Nguyen Hong, et al.
Published: (2025)

Unboundedness of the images of set-valued mappings having closed graphs: Application to vector optimization
by: Hieu, Vu Trung, et al.
Published: (2023)

A primal-dual interior point trust region method for second-order stationary points of Riemannian inequality-constrained optimization problems
by: Obara, Mitsuaki, et al.
Published: (2025)

Theoretical analysis of the randomized subspace regularized Newton method for non-convex optimization
by: Fuji, Terunari, et al.
Published: (2022)

Douglas--Rachford for multioperator comonotone inclusions with applications to multiblock optimization
by: Alcantara, Jan Harold, et al.
Published: (2025)

Universal heavy-ball method for nonconvex optimization under Hölder continuous Hessians
by: Marumo, Naoki, et al.
Published: (2023)

Complexity and convergence analysis of a single-loop SDCAM for Lipschitz composite optimization and beyond
by: Zhang, Hao, et al.
Published: (2025)

Theoretical smoothing frameworks for nonsmooth simple bilevel problems
by: Alcantara, Jan Harold, et al.
Published: (2024)

Local near-quadratic convergence of Riemannian interior point methods
by: Obara, Mitsuaki, et al.
Published: (2025)

Approximate Bregman proximal gradient algorithm with variable metric Armijo--Wolfe line search
by: Fujiki, Kiwamu, et al.
Published: (2025)

A Simple yet Highly Accurate Prediction-Correction Algorithm for Time-Varying Optimization
by: Kamijima, Tomoya, et al.
Published: (2025)

Rank conditions for exactness of semidefinite relaxations in polynomial optimization
by: Lasserre, Jean B
Published: (2025)

Parameter-free accelerated gradient descent for nonconvex minimization
by: Marumo, Naoki, et al.
Published: (2022)

Random-Subspace Frank--Wolfe over Strongly Convex Sets
by: Poirion, Pierre-Louis, et al.
Published: (2026)

Projection onto hyperbolicity cones and beyond: a dual Frank-Wolfe approach
by: Nagano, Takayuki, et al.
Published: (2024)

Inexact subgradient algorithm with a non-asymptotic convergence guarantee for copositive programming problems
by: Nishijima, Mitsuhiro, et al.
Published: (2025)

Prediction-Correction Algorithm for Time-Varying Smooth Non-Convex Optimization
by: Iwakiri, Hidenori, et al.
Published: (2024)

Subspace Quasi-Newton Method with Gradient Approximation
by: Miyaishi, Taisei, et al.
Published: (2024)

Global optimization of quadratic root-difference minimization under elliptic annulus constraints
by: Yang, Meijia, et al.
Published: (2026)

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

Sparse Sub-gaussian Random Projections for Semidefinite Programming Relaxations
by: Guedes-Ayala, Monse, et al.
Published: (2024)

Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
by: Han, Andi, et al.
Published: (2025)

Modified K-means Algorithm with Local Optimality Guarantees
by: Li, Mingyi, et al.
Published: (2025)

Extremality of families of sets and set-valued optimization
by: Cuong, Nguyen Duy, et al.
Published: (2024)

Homogenization for polynomial optimization with unbounded sets
by: Huang, Lei, et al.
Published: (2021)

Global optimization of low-rank polynomials
by: Gaggioli, Llorenç Balada, et al.
Published: (2025)

A Framework for Bilevel Optimization on Riemannian Manifolds
by: Han, Andi, et al.
Published: (2024)

A generic stochastic network flow formulation for production optimization of district heating systems
by: Guericke, Daniela, et al.
Published: (2022)

Alternating direction method of multipliers for polynomial optimization
by: Cerone, V., et al.
Published: (2025)

Improved conditional gradient method for the generalized cone order optimization problem on the local sphere
by: Zhou, Li-wen, et al.
Published: (2024)

Convergence rates for polynomial optimization on set products
by: Magron, Victor
Published: (2025)

Composition and tensor train structure in polynomial optimization
by: Gaggioli, Llorenç Balada, et al.
Published: (2026)

A novel exact approach to polynomial optimization
by: Bertsimas, Dimitris, et al.
Published: (2025)

Degree reduction techniques for polynomial optimization problems
by: González-Rodríguez, Brais, et al.
Published: (2024)

A polynomial-time solvable class of sparse box-constrained polynomial optimization problems
by: Khajavirad, Aida
Published: (2026)

Deep unrolling for learning optimal spatially varying regularisation parameters for Total Generalised Variation
by: Vu, Thanh Trung, et al.
Published: (2025)

Computer-aided analyses of stochastic first-order methods, via interpolation conditions for stochastic optimization
by: Rubbens, Anne, et al.
Published: (2025)

Douglas--Rachford algorithm for nonmonotone multioperator inclusion problems
by: Alcantara, Jan Harold, et al.
Published: (2025)

Geometry of exactness of moment-SOS relaxations for polynomial optimization
by: Henrion, Didier
Published: (2023)