Cover Image

Formalization of Optimality Conditions for Smooth Constrained Optimization Problems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Chenyi, Xu, Shengyang, Sun, Chumin, Zhou, Li, Wen, Zaiwen
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control G.1.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Formalization of Complexity Analysis of the First-order Algorithms for Convex Optimization
by: Li, Chenyi, et al.
Published: (2024)

Formalization of Algorithms for Optimization with Block Structures
by: Li, Chenyi, et al.
Published: (2025)

Anisotropic Gaussian Smoothing for Gradient-based Optimization
by: Starnes, Andrew, et al.
Published: (2024)

A Relaxation Method for Nonsmooth Nonlinear Optimization with Binary Constraints
by: Xiao, Lianghai, et al.
Published: (2026)

A Review of Bilevel Optimization: Methods, Emerging Applications, and Recent Advancements
by: Pujara, Dhaval, et al.
Published: (2025)

Trust Region Algorithm for Stochastic Minimax Problems with Decision-Dependent Distributions
by: Gao, Yan, et al.
Published: (2025)

Last-iterate Convergence of ADMM on Multi-affine Quadratic Equality Constrained Problem
by: Chao, Yutong, et al.
Published: (2026)

Multiple Approximate-Response Agents (MARA): Fast Near-Optimal Primal Recovery for Distributed Optimization
by: Parshakova, Tetiana, et al.
Published: (2025)

Classification and Treatment Learning with Constraints via Composite Heaviside Optimization: a Progressive MIP Method
by: Fang, Yue, et al.
Published: (2024)

Portfolio Optimization with Cumulative Prospect Theory Utility via Convex Optimization
by: Luxenberg, Eric, et al.
Published: (2022)

Reliability of Single-Level Equality-Constrained Inverse Optimal Control
by: Bečanović, Filip, et al.
Published: (2025)

Optimal control of partial differential equations in PyTorch using automatic differentiation and neural network surrogates
by: Khimin, Denis, et al.
Published: (2024)

On finite termination of quasi-Newton methods on quadratic problems
by: Ansari-Önnestam, Aban, et al.
Published: (2024)

Cubic Regularized Newton Method with Variance Reduction for Finite-sum Non-convex Problems
by: Pasechnyuk-Vilensky, Dmitry, et al.
Published: (2025)

$\ell_{1}^{2}-η\ell_{2}^{2}$ regularization for sparse recovery
by: Li, Long, et al.
Published: (2025)

SVD method for sparse recovery
by: Li, Long, et al.
Published: (2025)

Decentralized Stochastic Optimization over Unreliable Networks via Two-timescales Updates
by: Liu, Haoming, et al.
Published: (2025)

Robust Rigid Body Assembly via Contact-Implicit Optimal Control with Exact Second-Order Derivatives
by: Dietz, Christian, et al.
Published: (2026)

Regular Tree Search for Simulation Optimization
by: Wang, Du-Yi, et al.
Published: (2025)

Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework
by: Prajapat, Manish, et al.
Published: (2024)

Multi-Objective Optimization with Desirability and Morris-Mitchell Criterion
by: Bartz-Beielstein, Thomas, et al.
Published: (2025)

A unified vertical alignment and earthwork model in road design with a new convex optimization model for road networks
by: Sadhukhan, Sayan, et al.
Published: (2025)

Adaptive Methods for Multiobjective Unit Commitment
by: Tevruez, Ece, et al.
Published: (2025)

A Linear Convergence Result for the Jacobi-Proximal Alternating Direction Method of Multipliers
by: Choi, Hyelin, et al.
Published: (2025)

Decentralised convex optimisation with probability-proportional-to-size quantization
by: Pasechniuk, Dmitrii, et al.
Published: (2025)

Heterogeneous-Horizon Exact-Weight Local SGD
by: Pasechnyuk-Vilensky, Dmitry, et al.
Published: (2026)

Benders Cut Filtering for Affine Potential-Based Flow Problems with Robustness Scenarios and Topology Switching
by: Donkiewicz, Tim, et al.
Published: (2026)

Revenue Optimization with Price-Sensitive and Interdependent Demand
by: Laasri, Julien, et al.
Published: (2025)

Majorization-Minimization-Based Levenberg--Marquardt Method for Constrained Nonlinear Least Squares
by: Marumo, Naoki, et al.
Published: (2020)

Multicriteria Optimization and Decision Making: Principles, Algorithms and Case Studies
by: Emmerich, Michael, et al.
Published: (2024)

Identifying Multi-Hit Cancer Drivers Without Massive Parallelization: A CP, MIP, and Column Generation Framework
by: Willemsen, Rick S. H., et al.
Published: (2026)

$\ell_{1}^{2}-η\ell_{2}^{2}$ sparsity regularization for nonlinear ill-posed problems
by: Li, Long, et al.
Published: (2025)

Zero-Order Optimization for Gaussian Process-based Model Predictive Control
by: Lahr, Amon, et al.
Published: (2022)

On existence of a variational regularization parameter under Morozov's discrepancy principle
by: Ding, Liang, et al.
Published: (2025)

Convergence Analysis of Fractional Gradient Descent
by: Aggarwal, Ashwani
Published: (2023)

Multi-fidelity constraints in blackbox optimization
by: Alarie, Stéphane, et al.
Published: (2026)

Primal-Dual iLQR
by: Sousa-Pinto, João, et al.
Published: (2024)

A Self-Adaptive Penalty Method for Integrating Prior Knowledge Constraints into Neural ODEs
by: Coelho, C., et al.
Published: (2023)

Global Optimality for Constrained Exploration via Penalty Regularization
by: Wolf, Florian, et al.
Published: (2026)

SuperADMM: Solving Quadratic Programs Faster with Dynamic Weighting ADMM
by: Verheijen, P. C. N., et al.
Published: (2025)