:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Shukla, Khemraj, Shin, Yeonjong
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control Artificial Intelligence Machine Learning 65K05, 65B99, 65Y20
Online Access:	https://arxiv.org/abs/2310.14168
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Small errors in random zeroth-order optimization are imaginary
by: Jongeneel, Wouter, et al.
Published: (2021)

S2MPJ and CUTEst optimization problems for Matlab, Python and Julia
by: Gratton, Serge, et al.
Published: (2024)

Modified Patankar Semi-Lagrangian Scheme for the Optimal Control of Production-Destruction systems
by: Cacace, Simone, et al.
Published: (2025)

Deep Centralization for the Circumcentered Reflection Method
by: Barros, Pablo
Published: (2025)

Exploiting Parallelism in a QPALM-based Solver for Optimal Control
by: Pas, Pieter, et al.
Published: (2026)

Cyqlone: A Parallel, High-Performance Linear Solver for Optimal Control
by: Pas, Pieter, et al.
Published: (2025)

Identification of Active Subfunctions in Finite-Max Minimisation via a Smooth Reformulation
by: Ras, Charl, et al.
Published: (2024)

Conservative Surrogate Models for Optimization with the Active Subspace Method
by: Luneau, Philippe-André
Published: (2024)

Complexity of trust-region methods with unbounded Hessian approximations for smooth and nonsmooth optimization
by: Leconte, Geoffroy, et al.
Published: (2023)

A Simple First-Order Algorithm for Full-Rank Equality Constrained Optimization
by: Gratton, Serge, et al.
Published: (2025)

Sufficient Conditions for Error Distance Reduction in the (\ell^2)-norm Trust Region between Minimizers of Local Nonconvex Multivariate Quadratic Approximates
by: Xie, Pengcheng
Published: (2023)

Modified Bregman Golden Ratio Algorithm for Mixed Variational Inequality Problems
by: Kumar, Gourav, et al.
Published: (2025)

A finitely convergent circumcenter method for the Convex Feasibility Problem
by: Behling, Roger, et al.
Published: (2023)

Parallel Polyhedral Projection Method for the Convex Feasibility Problem
by: Barros, Pablo, et al.
Published: (2025)

Fejér* monotonicity in optimization algorithms
by: Behling, Roger, et al.
Published: (2024)

Nonsmooth Projection-Free Optimization with Functional Constraints
by: Asgari, Kamiar, et al.
Published: (2023)

A Proximal-Gradient Method for Constrained Optimization
by: Dai, Yutong, et al.
Published: (2024)

Symplectic Extra-gradient Type Method for Solving General Non-monotone Inclusion Problem
by: Yuan, Ya-xiang, et al.
Published: (2024)

Fast Optimistic Gradient Descent Ascent (OGDA) method in continuous and discrete time
by: Bot, Radu Ioan, et al.
Published: (2022)

A Proximal-Gradient Method for Solving Regularized Optimization Problems with General Constraints
by: Curtis, Frank E., et al.
Published: (2025)

Gradient Methods with Memory for Minimizing Composite Functions
by: Florea, Mihai I.
Published: (2022)

Accuracy and Relationships of Quadratic Models in Derivative-free Optimization
by: Chen, Yiwen, et al.
Published: (2026)

Kahan's Automatic Step-Size Control for Unconstrained Optimization
by: Meng, Yifeng, et al.
Published: (2025)

BDF schemes for accelerated gradient flows in projection-free approximation of nonconvex constrained variational minimization
by: Dong, Guozhi, et al.
Published: (2024)

Symplectic Discretization Approach for Developing New Proximal Point Algorithm
by: Yuan, Ya-xiang, et al.
Published: (2023)

New Primal-Dual Algorithm for Convex Problems
by: Liu, Shuning, et al.
Published: (2025)

Forward Primal-Dual Half-Forward Algorithm for Splitting Four Operators
by: Roldán, Fernando
Published: (2023)

A template for gradient norm minimization
by: Florea, Mihai I.
Published: (2024)

An optimal lower bound for smooth convex functions
by: Florea, Mihai I., et al.
Published: (2024)

Adaptive first-order methods with enhanced worst-case rates
by: Florea, Mihai I.
Published: (2024)

Heavy-ball dynamics with Hessian-driven damping for non-convex optimization under the Łojasiewicz condition
by: Apidopoulos, Vassilis, et al.
Published: (2025)

Accelerated primal dual fixed point algorithm
by: Zhu, Ya-Nan
Published: (2025)

An objective-function-free algorithm for general smooth constrained optimization
by: Bellavia, S., et al.
Published: (2026)

An objective-function-free algorithm for nonconvex stochastic optimization with deterministic equality and inequality constraints
by: Gratton, S., et al.
Published: (2026)

Modification of a Numerical Method Using FIR Filters in a Time-dependent SIR Model for COVID-19
by: Pimentel, Felipe Rogério, et al.
Published: (2025)

Weak convergence of projection algorithm with momentum terms and new step size rule for quasimonotone variational inequalities
by: Kumar, Gourav, et al.
Published: (2025)

Essential Convergence Rates of Continuous-Time Models for Optimization Methods
by: Ushiyama, Kansei, et al.
Published: (2025)

Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems
by: Cho, Younghyun, et al.
Published: (2023)

Memory- and compute-optimized geometric multigrid GMGPolar for curvilinear coordinate representations -- Applications to fusion plasma
by: Litz, Julian, et al.
Published: (2025)

Network Inpainting via Optimal Transport
by: Facca, Enrico, et al.
Published: (2024)