Cover Image

Faithful-Newton Framework: Bridging Inner and Outer Solvers for Enhanced Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lim, Alexander, Roosta, Fred
Format:	Preprint
Published:	2025
Subjects:	Numerical Analysis Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

A Scalable Interior-Point Gauss-Newton Method for PDE-Constrained Optimization with Bound Constraints
by: Hartland, Tucker, et al.
Published: (2024)

A thorough study of Riemannian Newton's Method
by: da Silva, Caio O., et al.
Published: (2025)

Inexact Newton Methods for Solving Generalized Equations on Riemannian Manifolds
by: Louzeiro, Mauricio S., et al.
Published: (2023)

MAGPIE: Multilevel-Adaptive-Guided Solver for Ptychographic Phase Retrieval
by: Zhang, Borong, et al.
Published: (2025)

Newton's Method Applied to Nonlinear Boundary Value Problems: A Numerical Approach
by: Freire, Rusdrael Antony de Araújo, et al.
Published: (2024)

A Million-Point Fast Trajectory Optimization Solver
by: Javeed, A., et al.
Published: (2025)

Inexact Gauss-Newton methods with matrix approximation by sampling for nonlinear least-squares and systems
by: Bellavia, Stefania, et al.
Published: (2023)

A Homotopy Framework for Constrained Multiobjective Optimization
by: Ogunleye, Olaoluwa, et al.
Published: (2026)

A generalization of the Newton-based matrix splitting iteration method for generalized absolute value equations
by: Li, Xuehua, et al.
Published: (2023)

An inexact framework of the Newton-based matrix splitting iterative method for the generalized absolute value equation
by: Yu, Dongmei, et al.
Published: (2021)

A non-monotone smoothing Newton algorithm for solving the system of generalized absolute value equations
by: Chen, Cairong, et al.
Published: (2021)

A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks
by: Mishra, Neel, et al.
Published: (2024)

An extended Gauss-Newton method for full waveform inversion
by: Gholami, Ali
Published: (2023)

R-Adaptive Mesh Optimization to Enhance Finite Element Basis Compression
by: Harper, Graham, et al.
Published: (2024)

A Unified Phase-Field Fourier Neural Network Framework for Topology Optimization
by: Li, Jing, et al.
Published: (2025)

Global Convergence and Error Propagation in Neural Gradient Flows: A Riemannian Optimization Framework
by: Zheng, Shixin, et al.
Published: (2026)

Optimizing Daily Fantasy Baseball Lineups: A Linear Programming Approach for Enhanced Accuracy
by: Grody, Max, et al.
Published: (2024)

End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver
by: Ma, Shaocong, et al.
Published: (2024)

All-Pass Fractional OPF: A Solver-Friendly, Physics-Preserving Approximation of AC OPF
by: Hasanzadeh, Milad, et al.
Published: (2026)

Inexact Newton-type Methods for Optimisation with Nonnegativity Constraints
by: Smee, Oscar, et al.
Published: (2024)

Cubic regularized subspace Newton for non-convex optimization
by: Zhao, Jim, et al.
Published: (2024)

Distributionally Robust Shape and Topology Optimization
by: Dapogny, Charles, et al.
Published: (2025)

Optimization methods for solving matrix equations
by: Zhang, Juan, et al.
Published: (2024)

Riemannian Optimization and the Hartree-Fock Method
by: da Silva, Caio O.
Published: (2024)

An Alternating Direction Method of Multipliers for Topology Optimization
by: Choudhary, Harsh, et al.
Published: (2025)

Active-Set Identification in Noisy and Stochastic Optimization
by: Curtis, Frank E., et al.
Published: (2025)

Complete Characterizations of Well-Posedness in Parametric Composite Optimization
by: Mordukhovich, Boris S., et al.
Published: (2025)

A Universal Birkhoff Theory for Fast Trajectory Optimization
by: Ross, I. M.
Published: (2023)

An Adaptive Phase-Field Method for Structural Topology Optimization
by: Jin, Bangti, et al.
Published: (2023)

Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton
by: Niu, Chengmei, et al.
Published: (2025)

RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees
by: Laufer, Eilon Vaknin, et al.
Published: (2025)

A distributed semismooth Newton based augmented Lagrangian method for distributed optimization
by: Ma, Qihao, et al.
Published: (2026)

A Framework for Approximating Perturbed Optimal Control Problems
by: Link, Riley, et al.
Published: (2024)

Convergent Proximal Multiblock ADMM for Nonconvex Dynamics-Constrained Optimization
by: Li, Bowen, et al.
Published: (2025)

The Stochastic Steepest Descent Method for Robust Optimization in Banach Spaces
by: Chada, Neil K., et al.
Published: (2023)

An Abstract Lyapunov Control Optimizer: Local Stabilization and Global Convergence
by: Bensaid, Bilel, et al.
Published: (2024)

Optimization of an eigenvalue arising in optimal insulation with a lower bound
by: Bartels, Sören, et al.
Published: (2024)

A Framework for the Solution of Tree-Coupled Saddle-Point Systems
by: Hansknecht, Christoph, et al.
Published: (2024)

An iterative process for the feasibility-seeking problem with sets that are unions of convex sets
by: Censor, Yair, et al.
Published: (2025)