Cover Image

Convergence analysis of linearized $\ell_q$ penalty methods for nonconvex optimization with nonlinear equality constraints

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bourkhissi, Lahcen El, Necoara, Ion
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Convergence rates for an inexact linearized ADMM for nonsmooth nonconvex optimization with nonlinear equality constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2025)

Complexity of linearized quadratic penalty for optimization with nonlinear equality constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2024)

Complexity of a linearized augmented Lagrangian method for nonconvex minimization with nonlinear equality constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2023)

Complexity of Linearized Perturbed Augmented Lagrangian Methods for Nonsmooth Nonconvex Optimization with Nonlinear Equality Constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2025)

Monotone and nonmonotone linearized block coordinate descent methods for nonsmooth composite optimization problems
by: Nabou, Yassine, et al.
Published: (2025)

Stochastic halfspace approximation method for convex optimization with nonsmooth functional constraints
by: Singh, Nitesh Kumar, et al.
Published: (2024)

Proximal gradient methods with inexact oracle of degree q for composite optimization
by: Nabou, Yassine, et al.
Published: (2024)

Stochastic subgradient for composite optimization with functional constraints
by: Necoara, Ion, et al.
Published: (2022)

Random coordinate descent methods for nonseparable composite optimization
by: Chorobura, Flavia, et al.
Published: (2022)

Regularized higher-order Taylor approximation methods for nonlinear least-squares
by: Nabou, Yassine, et al.
Published: (2025)

Convergence analysis of stochastic higher-order majorization-minimization algorithms
by: Lupu, Daniela, et al.
Published: (2021)

Higher-order tensor methods for minimizing difference of convex functions
by: Necoara, Ion
Published: (2024)

Modified projected Gauss-Newton method for constrained nonlinear least-squares: application to power flow analysis
by: Nabou, Yassine, et al.
Published: (2025)

Random minibatch subgradient algorithms for convex problems with functional constraints
by: Nedich, Angelia, et al.
Published: (2019)

Sparse Recovery via $\ell_p^p/\ell_q^p$ Ratio Minimization: Theory and Algorithm
by: Yu, Lang, et al.
Published: (2026)

An accelerated randomized Bregman-Kaczmarz method for strongly convex linearly constraint optimization
by: Tondji, Lionel, et al.
Published: (2025)

Coordinate descent methods beyond smoothness and separability
by: Chorobura, Flavia, et al.
Published: (2024)

A systematic approach to general higher-order majorization-minimization algorithms for (non)convex optimization
by: Necoara, Ion, et al.
Published: (2020)

Exact representation and efficient approximations of linear model predictive control laws via HardTanh type deep neural networks
by: Lupu, Daniela, et al.
Published: (2024)

Moving higher-order Taylor approximations method for smooth constrained minimization problems
by: Nabou, Yassine, et al.
Published: (2024)

A stochastic perturbed augmented Lagrangian method for smooth convex constrained minimization
by: Singh, Nitesh Kumar, et al.
Published: (2025)

A stochastic moving ball approximation method for smooth convex constrained minimization
by: Singh, Nitesh Kumar, et al.
Published: (2024)

Mini-batch stochastic subgradient for functional constrained optimization
by: Singh, Nitesh Kumar, et al.
Published: (2024)

An inertial ADMM for a class of nonconvex composite optimization with nonlinear coupling constraints
by: Hien, Le Thi Khanh, et al.
Published: (2022)

A penalty-interior point method combined with MADS for equality and inequality constrained optimization
by: Audet, Charles, et al.
Published: (2026)

An inexact $q$-order regularized proximal Newton method for nonconvex composite optimization
by: Liu, Ruyu, et al.
Published: (2023)

Efficiency of stochastic coordinate proximal gradient methods on nonseparable composite optimization
by: Necoara, I., et al.
Published: (2021)

Active-set Newton-MR methods for nonconvex optimization problems with bound constraints
by: Birgin, Ernesto G., et al.
Published: (2025)

Error bound and exact penalty method for optimization problems with nonnegative orthogonal constraint
by: Qian, Yitian, et al.
Published: (2021)

Universal nonmonotone line search method for nonconvex multiobjective optimization problems with convex constraints
by: Pinheiro, Maria Eduarda, et al.
Published: (2024)

Coordinate projected gradient descent minimization and its application to orthogonal nonnegative matrix factorization
by: Chorobura, Flavia, et al.
Published: (2025)

Automated algorithm design for convex optimization problems with linear equality constraints
by: Ozaslan, Ibrahim K., et al.
Published: (2025)

Distributed nonconvex optimization for control of water networks with time-coupling constraints
by: Jenks, Bradley, et al.
Published: (2023)

An adaptive forward-backward-forward splitting algorithm for solving pseudo-monotone inclusions
by: Chorobura, Flavia, et al.
Published: (2025)

Adaptive directional decomposition methods for nonconvex constrained optimization
by: Shi, Qiankun, et al.
Published: (2025)

Simple linesearch-free first-order methods for nonconvex optimization
by: Yagishita, Shotaro, et al.
Published: (2025)

A proximal augmented Lagrangian method for nonconvex optimization with equality and inequality constraints
by: Adeoye, Adeyemi D., et al.
Published: (2025)

Nonsmooth exact penalty methods for equality-constrained optimization: complexity and implementation
by: Diouane, Youssef, et al.
Published: (2024)

Complexity of quadratic penalty methods with adaptive accuracy under a PL condition for the constraints
by: Goyens, Florentin, et al.
Published: (2026)

Convergence for nonconvex ADMM, with applications to CT imaging
by: Barber, Rina Foygel, et al.
Published: (2020)