Imagen de Portada

Revisiting a Fast Newton Solver for a 2-D Spectral Estimation Problem: Computations with the Full Hessian

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cheng, Ji, Zhu, Bin
Formato:	Preprint
Publicado:	2026
Materias:	Optimization and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Skip the Hessian, Keep the Rates: Globalized Semismooth Newton with Lazy Hessian Updates
por: Alphonse, Amal, et al.
Publicado: (2026)

Adaptive Regularized Newton Method with Inexact Hessian
por: Shestakov, Aleksandr, et al.
Publicado: (2025)

Newton methods beyond Hessian Lipschitz continuity: A nonlinear preconditioning approach
por: Bodard, Alexander, et al.
Publicado: (2026)

Line Spectral Estimation Using a G-Filter: Atomic Norm Minimization with Multiple Output Vectors
por: Tang, Jiale, et al.
Publicado: (2026)

NeST-BO: Fast Local Bayesian Optimization via Newton-Step Targeting of Gradient and Hessian Information
por: Tang, Wei-Ting, et al.
Publicado: (2025)

A Regularized Hessian-Free Inexact Newton-Type Method with Global $\mathcal{O}(k^{-2})$ Convergence
por: Maia, Leandro Farias, et al.
Publicado: (2026)

Adaptive Newton-CG methods with global and local analysis for unconstrained optimization with Hölder continuous Hessian
por: Zeng, Ziyang, et al.
Publicado: (2026)

Newton-CG methods for nonconvex unconstrained optimization with Hölder continuous Hessian
por: He, Chuan, et al.
Publicado: (2023)

Complexity Guarantees for Nonconvex Newton-MR Under Inexact Hessian Information
por: Lim, Alexander, et al.
Publicado: (2023)

Zeroth-order Stochastic Cubic Newton Method Revisited
por: Liu, Yu, et al.
Publicado: (2024)

Fast convergence of dynamical systems with implicit Hessian damping and Tikhonov regularization
por: Li, Hong-lu, et al.
Publicado: (2025)

A Newton Interior-Point Method for $\ell_0$ Factor Analysis
por: Wang, Linyang, et al.
Publicado: (2025)

Online estimation of the inverse of the Hessian for stochastic optimization with application to universal stochastic Newton algorithms
por: Godichon-Baggioni, Antoine, et al.
Publicado: (2024)

Multilevel Regularized Newton Methods with Fast Convergence Rates
por: Tsipinakis, Nick, et al.
Publicado: (2024)

Revisiting Superlinear Convergence of Proximal Newton-Like Methods to Degenerate Solutions
por: Lee, Ching-pei, et al.
Publicado: (2026)

Zeroth-order Low-rank Hessian Estimation via Matrix Recovery
por: Wang, Tianyu, et al.
Publicado: (2024)

Faithful-Newton Framework: Bridging Inner and Outer Solvers for Enhanced Optimization
por: Lim, Alexander, et al.
Publicado: (2025)

Nonlinear Programming Solvers for Unconstrained and Constrained Optimization Problems: a Benchmark Analysis
por: Lavezzi, Giovanni, et al.
Publicado: (2022)

A Fast Newton Method Under Local Lipschitz Smoothness
por: Gratton, Serge, et al.
Publicado: (2025)

Fast convex optimization via inertial systems with asymptotically vanishing viscosity and Hessian-driven damping
por: Wang, Zepeng, et al.
Publicado: (2025)

Newton Method for Multiobjective Optimization Problems of Interval-Valued Maps
por: Mondal, Tapas, et al.
Publicado: (2026)

On the equivalence of a Hessian-free inequality and Lipschitz continuous Hessian
por: Boţ, Radu I., et al.
Publicado: (2025)

Quadratic Gradient: A Unified Framework Bridging Gradient Descent and Newton-Type Methods by Synthesizing Hessians and Gradients
por: Chiang, John
Publicado: (2022)

A Globalized Semismooth Newton Method for Prox-regular Optimization Problems
por: Wu, Yuqia, et al.
Publicado: (2025)

Efficient Digital Quadratic Unconstrained Binary Optimization Solvers for SAT Problems
por: Fong, Robert Simon, et al.
Publicado: (2024)

Inexact Bregman Sparse Newton Method for Efficient Optimal Transport
por: Pan, Jianting, et al.
Publicado: (2026)

Interpolation Constraints for Computing Worst-Case Bounds in Performance Estimation Problems
por: Rubbens, Anne, et al.
Publicado: (2023)

Homogeneous Second-Order Descent Framework: A Fast Alternative to Newton-Type Methods
por: He, Chang, et al.
Publicado: (2023)

Subspace Newton's Method for $\ell_0$-Regularized Optimization Problems with Box Constraint
por: Ye, Yuge, et al.
Publicado: (2025)

Inexact Regularized Quasi-Newton Algorithm for Solving Monotone Variational Inequality Problems
por: Ye, Yuge, et al.
Publicado: (2025)

OFF (Proximal) Newton-type Methods with Inexact Derivatives for Unconstrained Optimization
por: Zhu, Hong
Publicado: (2025)

A Newton-Type Proximal Gradient Method for Nonlinear Multi-objective Optimization Problems
por: Ansary, Md Abu Talhamainuddin
Publicado: (2022)

Power System Steady-State Estimation Revisited
por: Rytir, Pavel, et al.
Publicado: (2025)

Statistical and Computational Complexities of BFGS Quasi-Newton Method for Generalized Linear Models
por: Jin, Qiujiang, et al.
Publicado: (2022)

A Globally Convergent Flow for Time-Dependent Mean Field Games and a Solver-Agnostic Framework for Inverse Problems
por: Yan, Hanwei, et al.
Publicado: (2026)

Greedy Newton: Newton's Method with Exact Line Search
por: Shea, Betty, et al.
Publicado: (2024)

Fast Newton methods for linear-quadratic dynamic games with application to autonomous vehicle platooning and intersection crossing
por: Baghbadorani, Reza Rahimi, et al.
Publicado: (2026)

imuQP: An Inverse-Matrix-Updates-Based Fast QP Solver Suitable for Real-Time MPC
por: Lam, Victor Truong Thinh, et al.
Publicado: (2025)

Modified Quasi-Newton Method for Nonconvex Multiobjective Optimization Problems with Barzilai-Borwein diagonal matrix
por: Liu, Hua
Publicado: (2025)

Efficient Graph Laplacian Estimation by Proximal Newton
por: Medvedovsky, Yakov, et al.
Publicado: (2023)