A Level Set Method with Secant Iterations for the Least-Squares Constrained Nuclear Norm Minimization
Fuente:
arXiv
Saved in:
| Main Authors: | Ma, Chiyu, Ma, Jiaming, Sun, Defeng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Lipschitz stability of least-squares problems regularized by functions with $\mathcal{C}^2$-cone reducible conjugates
by: Cui, Ying, et al.
Published: (2024)
by: Cui, Ying, et al.
Published: (2024)
Two Typical Implementable Semismooth* Newton Methods for Generalized Equations are G-Semismooth Newton Methods
by: Chen, Liang, et al.
Published: (2024)
by: Chen, Liang, et al.
Published: (2024)
Approximate optimality conditions and sensitivity analysis in nearly convex optimization
by: Van Tuyen, Nguyen, et al.
Published: (2024)
by: Van Tuyen, Nguyen, et al.
Published: (2024)
The Least Singular Value Function in Variational Analysis
by: Jelitte, Mario, et al.
Published: (2025)
by: Jelitte, Mario, et al.
Published: (2025)
Isolated Calmness in Regularized Convex Optimization
by: Nghia, Tran T. A., et al.
Published: (2026)
by: Nghia, Tran T. A., et al.
Published: (2026)
Geometric characterizations of Lipschitz stability for convex optimization problems
by: Nghia, Tran T. A.
Published: (2024)
by: Nghia, Tran T. A.
Published: (2024)
Qualitative and Generalized Differentiation Properties of Optimal Value Functions with Applications to Duality
by: Long, V. S. T., et al.
Published: (2025)
by: Long, V. S. T., et al.
Published: (2025)
Stable Recovery of Regularized Linear Inverse Problems
by: Nghia, Tran T. A., et al.
Published: (2024)
by: Nghia, Tran T. A., et al.
Published: (2024)
On the $p$-order Semismoothness of the Metric Projection onto Slices of the Positive Semidefinite Cone
by: Chen, Ruoning, et al.
Published: (2025)
by: Chen, Ruoning, et al.
Published: (2025)
Solving Regularized Multifacility Location Problems with Unknown Number of Centers via Difference-of-Convex Optimization
by: Geremew, W., et al.
Published: (2026)
by: Geremew, W., et al.
Published: (2026)
Characterizations of Tilt-Stable Local Minimizers of a Class of Matrix Optimization Problems
by: Ding, Chao, et al.
Published: (2025)
by: Ding, Chao, et al.
Published: (2025)
Optimal Methods for Unknown Piecewise Smooth Problems I: Convex Optimization
by: Lin, Zhenwei, et al.
Published: (2026)
by: Lin, Zhenwei, et al.
Published: (2026)
On the existence and the stability of solutions in nonconvex vector optimization
by: Van Nghi, Tran, et al.
Published: (2025)
by: Van Nghi, Tran, et al.
Published: (2025)
Bregman Finito/MISO for nonconvex regularized finite sum minimization without Lipschitz gradient continuity
by: Latafat, Puya, et al.
Published: (2021)
by: Latafat, Puya, et al.
Published: (2021)
Douglas-Rachford splitting and ADMM for nonconvex optimization: Accelerated and Newton-type linesearch algorithms
by: Themelis, Andreas, et al.
Published: (2020)
by: Themelis, Andreas, et al.
Published: (2020)
A Bregman forward-backward linesearch algorithm for nonconvex composite optimization: superlinear convergence to nonisolated local minima
by: Ahookhosh, Masoud, et al.
Published: (2019)
by: Ahookhosh, Masoud, et al.
Published: (2019)
Projected subgradient methods for paraconvex optimization: Application to robust low-rank matrix recovery
by: Rahimi, Morteza, et al.
Published: (2024)
by: Rahimi, Morteza, et al.
Published: (2024)
(Adaptive) Scaled gradient methods beyond locally Holder smoothness: Lyapunov analysis, convergence rate and complexity
by: Ghaderi, Susan, et al.
Published: (2025)
by: Ghaderi, Susan, et al.
Published: (2025)
Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems
by: Latafat, Puya, et al.
Published: (2019)
by: Latafat, Puya, et al.
Published: (2019)
On the growth of nonconvex functionals at strict local minimizers
by: Corella, Alberto Domínguez, et al.
Published: (2024)
by: Corella, Alberto Domínguez, et al.
Published: (2024)
Duality Theory on Vector Spaces
by: Van Cuong, Dang, et al.
Published: (2023)
by: Van Cuong, Dang, et al.
Published: (2023)
On second-order variational analysis of variational convexity of prox-regular functions
by: Gfrerer, Helmut
Published: (2024)
by: Gfrerer, Helmut
Published: (2024)
Regular Subgradients of Marginal Functions with Applications to Calculus and Bilevel Programming
by: Hai, Le Phuoc, et al.
Published: (2024)
by: Hai, Le Phuoc, et al.
Published: (2024)
Generalized Twice Differentiability and Quadratic Bundles in Second-Order Variational Analysis
by: Khanh, Pham Duy, et al.
Published: (2025)
by: Khanh, Pham Duy, et al.
Published: (2025)
Characterizations of Strong Variational Sufficiency in General Models of Composite Optimization
by: Mordukhovich, Boris S., et al.
Published: (2025)
by: Mordukhovich, Boris S., et al.
Published: (2025)
Characterizations of Variational Convexity and Tilt Stability via Quadratic Bundles
by: Khanh, Pham Duy, et al.
Published: (2025)
by: Khanh, Pham Duy, et al.
Published: (2025)
Subgradient Regularization: A Descent-Oriented Subgradient Method for Nonsmooth Optimization
by: Li, Hanyang, et al.
Published: (2025)
by: Li, Hanyang, et al.
Published: (2025)
Characterizations of the Aubin Property of the Solution Mapping for Nonlinear Semidefinite Programming
by: Chen, Liang, et al.
Published: (2024)
by: Chen, Liang, et al.
Published: (2024)
Tilt stability of Ky-Fan $κ$-norm composite optimization
by: Liu, Yulan, et al.
Published: (2024)
by: Liu, Yulan, et al.
Published: (2024)
An augmented Lagrangian method for strongly regular minimizers in a class of convex composite optimization problems
by: Wang, Chengjing, et al.
Published: (2025)
by: Wang, Chengjing, et al.
Published: (2025)
Perturbation analysis of a class of composite optimization problems
by: Tang, Peipei, et al.
Published: (2024)
by: Tang, Peipei, et al.
Published: (2024)
Approximation Analysis of the Entropic Penalty in Quadratic Programming
by: Karumanchi, Venkatkrishna, et al.
Published: (2025)
by: Karumanchi, Venkatkrishna, et al.
Published: (2025)
$\ell_0$-Norm Multiobjective Optimization Models Motivated by Applications to Proton Therapy
by: Cong, Xiaoda, et al.
Published: (2025)
by: Cong, Xiaoda, et al.
Published: (2025)
On Differential Stability of a Class of Convex Optimization Problems
by: Yen, Nguyen Dong, et al.
Published: (2024)
by: Yen, Nguyen Dong, et al.
Published: (2024)
SPIRAL: A superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization
by: Behmandpoor, Pourya, et al.
Published: (2022)
by: Behmandpoor, Pourya, et al.
Published: (2022)
A fresh look into variational analysis of $\mathcal C^2$-partly smooth functions
by: Hang, Nguyen T. V., et al.
Published: (2024)
by: Hang, Nguyen T. V., et al.
Published: (2024)
ItsOPT: An inexact two-level smoothing framework for nonconvex optimization via high-order Moreau envelope
by: Kabgani, Alireza, et al.
Published: (2024)
by: Kabgani, Alireza, et al.
Published: (2024)
ItsDEAL: Inexact two-level smoothing descent algorithms for weakly convex optimization
by: Kabgani, Alireza, et al.
Published: (2025)
by: Kabgani, Alireza, et al.
Published: (2025)
Second-Order Strong Optimality and Second-Order Duality for Nonsmooth Constrained Multiobjective Fractional Programming Problems
by: Chen, Jiawei, et al.
Published: (2024)
by: Chen, Jiawei, et al.
Published: (2024)
Robust Least Squares Problems with Binary Uncertain Data
by: Zhou, Yang, et al.
Published: (2025)
by: Zhou, Yang, et al.
Published: (2025)
Similar Items
-
Lipschitz stability of least-squares problems regularized by functions with $\mathcal{C}^2$-cone reducible conjugates
by: Cui, Ying, et al.
Published: (2024) -
Two Typical Implementable Semismooth* Newton Methods for Generalized Equations are G-Semismooth Newton Methods
by: Chen, Liang, et al.
Published: (2024) -
Approximate optimality conditions and sensitivity analysis in nearly convex optimization
by: Van Tuyen, Nguyen, et al.
Published: (2024) -
The Least Singular Value Function in Variational Analysis
by: Jelitte, Mario, et al.
Published: (2025) -
Isolated Calmness in Regularized Convex Optimization
by: Nghia, Tran T. A., et al.
Published: (2026)