Image de couverture de livre

Primal-Dual algorithms for Abstract convex functions with respect to quadratic functions

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bednarczuk, Ewa, Tran, The Hung
Format:	Preprint
Publié:	2026
Sujets:	Optimization and Control Numerical Analysis
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Primal-dual algorithm for weakly convex functions under sharpness conditions
par: Bednarczuk, Ewa, et autres
Publié: (2024)

Calculus rules for proximal ε-subdifferentials and inexact proximity operators for weakly convex functions
par: Bednarczuk, Ewa, et autres
Publié: (2022)

Frank--Wolfe algorithms for piecewise star-convex functions with a nonsmooth difference-of-convex structure
par: Millán, R. Díaz, et autres
Publié: (2023)

Primal-dual interior-point algorithm for linearly constrained convex optimization based on a parametric algebraic transformation
par: Kraria, Aicha, et autres
Publié: (2024)

A preconditioned third-order implicit-explicit algorithm with a difference of varying convex functions and extrapolation
par: Wu, Kelin, et autres
Publié: (2025)

Computing AD-compatible subgradients of convex relaxations of implicit functions
par: Song, Yingkai, et autres
Publié: (2025)

Fenchel Duality Theory and A Primal-Dual Algorithm on Riemannian Manifolds
par: Bergmann, Ronny, et autres
Publié: (2019)

A novel dual-decomposition method for non-convex two-stage stochastic mixed-integer quadratically constrained quadratic problems
par: Belyak, Nikita, et autres
Publié: (2023)

Adaptive projected SOR algorithms for nonnegative quadratic programming
par: Miyatake, Yuto, et autres
Publié: (2021)

Proximal Algorithms for a class of abstract convex functions
par: Bednarczuk, Ewa, et autres
Publié: (2024)

Accelerated Primal-Dual Proximal Gradient Splitting Methods for Convex-Concave Saddle-Point Problems
par: Luo, Hao
Publié: (2024)

A preconditioned second-order convex splitting algorithm with extrapolation
par: Shen, Xinhua, et autres
Publié: (2025)

A Generalized Primal-Dual Correction Method for Saddle-Point Problems with a Nonlinear Coupling Operator
par: Wang, Sai, et autres
Publié: (2023)

A boosted second-order convex splitting algorithm based on gradient flows
par: Shen, Xinhua, et autres
Publié: (2024)

Augmented Lagrangian methods for infeasible convex optimization problems and diverging proximal-point algorithms
par: Andrews, Roland, et autres
Publié: (2025)

Primal-Dual Methods for Nonsmooth Nonconvex Optimization with Orthogonality Constraints
par: Zhu, Linglingzhi, et autres
Publié: (2026)

Convergence of a steepest descent algorithm in shape optimisation using $W^{1,\infty}$ functions
par: Deckelnick, Klaus, et autres
Publié: (2023)

A Primal-dual Forward-backward Splitting Method for Cross-diffusion Gradient Flows with General Mobility Matrices
par: Deng, Yunhong, et autres
Publié: (2025)

A Primal-dual hybrid gradient method for solving optimal control problems and the corresponding Hamilton-Jacobi PDEs
par: Meng, Tingwei, et autres
Publié: (2024)

Policy iteration for nonconvex viscous Hamilton--Jacobi equations
par: Guo, Xiaoqin, et autres
Publié: (2025)

Policy iteration for the deterministic control problems -- a viscosity approach
par: Tang, Wenpin, et autres
Publié: (2023)

A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations
par: Liu, Shu, et autres
Publié: (2024)

Polynomial argmin for recovery and approximation of multivariate discontinuous functions
par: Henrion, Didier, et autres
Publié: (2023)

Linear convergence of forward-backward accelerated algorithms without knowledge of the modulus of strong convexity
par: Li, Bowen, et autres
Publié: (2023)

An Abstract Lyapunov Control Optimizer: Local Stabilization and Global Convergence
par: Bensaid, Bilel, et autres
Publié: (2024)

Relationships between full-space and subspace quadratic interpolation models and simplex derivatives
par: Chen, Yiwen
Publié: (2026)

On a fixed-point continuation method for a convex optimization problem
par: Fest, Jean-Baptiste, et autres
Publié: (2022)

An iterative process for the feasibility-seeking problem with sets that are unions of convex sets
par: Censor, Yair, et autres
Publié: (2025)

An accelerated gradient method with adaptive restart for convex multiobjective optimization problems
par: Luo, Hao, et autres
Publié: (2025)

Estimation of the input-to-state stability gain functions from finite-dimensional approximations
par: Hillebrecht, Birgit, et autres
Publié: (2026)

Forward-Backward algorithms for weakly convex problems
par: Bednarczuk, Ewa, et autres
Publié: (2023)

A geodesic convexity-like structure for the polar decomposition of a square matrix
par: Alimisis, Foivos, et autres
Publié: (2024)

On the non-convexity issue in the radial Calderón problem
par: Alberti, Giovanni S., et autres
Publié: (2025)

New complementarity formulations for root-finding and optimization of piecewise-affine functions in abs-normal form
par: Zhang, Yulan, et autres
Publié: (2025)

A comparison study of supervised learning techniques for the approximation of high dimensional functions and feedback control
par: Oster, Mathias, et autres
Publié: (2024)

Stochastic dual coordinate descent with adaptive heavy ball momentum for linearly constrained convex optimization
par: Zeng, Yun, et autres
Publié: (2023)

The greedy side of the LASSO: New algorithms for weighted sparse recovery via loss function-based orthogonal matching pursuit
par: Mohammad-Taheri, Sina, et autres
Publié: (2023)

Optimal local linear convergence of Nesterov's accelerated gradient method for $C^2$ functions under the Polyak--Łojasiewicz inequality
par: Feng, Zixu, et autres
Publié: (2026)

An adaptive importance sampling algorithm for risk-averse optimization
par: Pieraccini, Sandra, et autres
Publié: (2025)

A Type II Hamiltonian Variational Principle and Adjoint Systems for Lie Groups
par: Tran, Brian K., et autres
Publié: (2023)