Image de couverture de livre

Constraint Identification and Algorithm Stabilization for Degenerate Nonlinear Programs

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Wright, Stephen J.
Format:	Preprint
Publié:	2000
Sujets:	Optimization and Control Numerical Analysis 90C30 (Primary); 90C55, 49M37 (Secondary)
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

An Interior-Point Algorithm for Continuous Nonlinearly Constrained Optimization with Noisy Function and Derivative Evaluations
par: Curtis, Frank E., et autres
Publié: (2025)

Sequential Hierarchical Least-Squares Programming for Prioritized Non-Linear Optimal Control
par: Pfeiffer, Kai, et autres
Publié: (2023)

Effects of Finite-Precision Arithmetic on Interior-Point Methods for Nonlinear Programming
par: Wright, Stephen J.
Publié: (2001)

Exact Continuous Reformulations of Logic Constraints in Nonlinear Optimization and Optimal Control Problems
par: Wehbeh, Jad, et autres
Publié: (2026)

Stratification for Nonlinear Semidefinite Programming
par: Bao, Chenglong, et autres
Publié: (2026)

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy
par: He, Yitong, et autres
Publié: (2025)

Retrospective Approximation Sequential Quadratic Programming for Stochastic Optimization with General Deterministic Nonlinear Constraints
par: Berahas, Albert S., et autres
Publié: (2025)

Penalty Interior-Point Method Fails to Converge
par: Leyffer, Sven
Publié: (2003)

A Two Stepsize SQP Method for Nonlinear Equality Constrained Stochastic Optimization
par: O'Neill, Michael J.
Publié: (2024)

MGProx: A nonsmooth multigrid proximal gradient method with adaptive restriction for strongly convex optimization
par: Ang, Andersen, et autres
Publié: (2023)

A Generalized $\ell_1$-Merit Function SQP Method Using Function Approximations with Tunable Accuracy
par: Grundvig, Dane S., et autres
Publié: (2025)

Variational Poisson Denoising via Augmented Lagrangian Methods
par: Kanzow, Christian, et autres
Publié: (2023)

On the regularization property of Levenberg-Marquardt method with Singular Scaling for nonlinear inverse problems
par: Filippozzi, Rafaela, et autres
Publié: (2025)

Convergence analysis of Levenberg-Marquardt method with Singular Scaling for nonzero residue nonlinear least-squares problems
par: Filippozzi, Rafaela, et autres
Publié: (2024)

Exploiting cone approximations in an augmented Lagrangian method for conic optimization
par: Fukuda, Mituhiro, et autres
Publié: (2024)

Modified limited memory BFGS with displacement aggregation and its application to the largest eigenvalue problem
par: Sahu, Manish Kumar, et autres
Publié: (2023)

Local Convergence Results for Sequential Quadratic Programming with Complementarity Constraints
par: Nurkanović, Armin
Publié: (2026)

Low-rank Orthogonalization for Large-scale Matrix Optimization with Applications to Foundation Model Training
par: He, Chuan, et autres
Publié: (2025)

A Globally Convergent Method for Computing B-stationary Points of Mathematical Programs with Equilibrium Constraints
par: Nurkanović, Armin, et autres
Publié: (2025)

Time-Varying Semidefinite Programming: Path Following a Burer-Monteiro Factorization
par: Bellon, Antonio, et autres
Publié: (2022)

A Trust Region Proximal Gradient Method for Nonlinear Multi-objective Optimization Problems
par: Ansary, Md Abu Talhamainuddin
Publié: (2024)

Complexity of an inexact stochastic SQP algorithm for equality constrained optimization
par: O'Neill, Michael J., et autres
Publié: (2026)

Yau's Affine Normal Descent: Algorithmic Framework and Convergence Analysis
par: Niu, Yi-Shuai, et autres
Publié: (2026)

Switching Point Optimization for Abstract Parabolic Equations
par: Buchheim, Christoph, et autres
Publié: (2026)

Convergence analysis of the transformed gradient projection algorithms on compact matrix manifolds
par: Ding, Wentao, et autres
Publié: (2024)

Level Constrained First Order Methods for Function Constrained Optimization
par: Boob, Digvijay, et autres
Publié: (2022)

On the Convergence of Interior-Point Methods for Bound-Constrained Nonlinear Optimization Problems with Noise
par: Dezfulian, Shima, et autres
Publié: (2024)

The Flow-Limit of Reflect-Reflect-Relax: Existence, Stability, and Discrete-Time Behavior
par: Lal, Manish Krishan
Publié: (2025)

CCOpt: an Open-Source Solver for Large-Scale Mathematical Programs with Complementarity Constraints
par: Pozharskiy, Anton, et autres
Publié: (2026)

The adjoint state method for parametric definable optimization without smoothness or uniqueness
par: Bolte, Jérôme, et autres
Publié: (2026)

Efficiency and Convergence Insights in Large-Scale Optimization Using the Improved Inexact-Newton-Smart Algorithm and Interior-Point Framework
par: Renani, Neda Bagheri, et autres
Publié: (2025)

Alternating Gradient-Type Algorithm for Bilevel Optimization with Inexact Lower-Level Solutions via Moreau Envelope-based Reformulation
par: Bai, Xiaoning, et autres
Publié: (2024)

Asymptotic Convergence and Stability of Adaptive Gradient Methods in Smooth Non-convex Optimization
par: Jin, Ruinan, et autres
Publié: (2026)

On the resolution of $\ell_1$-norm minimization via a two-metric adaptive projection method
par: Wu, Hanju, et autres
Publié: (2025)

Adaptive Multilevel Newton: A Quadratically Convergent Optimization Method
par: Tsipinakis, Nick, et autres
Publié: (2025)

A Two-step Krasnosel'skii-Mann Algorithm with Adaptive Momentum and Its Applications to Image Denoising and Matrix Completion
par: He, Yongxin, et autres
Publié: (2025)

On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation
par: Bollapragada, Raghu, et autres
Publié: (2025)

Implementing a unified solver for nonlinearly constrained optimization
par: Vanaret, Charlie, et autres
Publié: (2024)

An Inexact Regularized Proximal Newton Method without Line Search
par: Dahl, Simeon vom, et autres
Publié: (2024)

OpenSQP: A Reconfigurable Open-Source SQP Algorithm in Python for Nonlinear Optimization
par: Joshy, Anugrah Jo, et autres
Publié: (2025)