Увійти
ідея - Nonconvex Optimization
Robust Second-Order Nonconvex Optimization for Low Rank Matrix Sensing
Efficiently finding approximate second-order stationary points in the presence of outliers.
Symmetric Hankel Projected Gradient Descent for Spectral Compressed Sensing
提案されたSHGDアルゴリズムは、非対称因子化を使用してスペクトル圧縮センシング問題を解決し、収束性と効率性を示す。
Randomized Algorithm for Nonconvex Minimization with Inexact Evaluations and Complexity Guarantees
Efficient algorithm for nonconvex minimization with inexact evaluations.
A Penalty Barrier Method for Nonconvex Constrained Optimization with Marginalization
This paper introduces a novel penalty barrier method for solving nonconvex constrained optimization problems, employing a marginalization technique to handle slack variables, resulting in smooth subproblems suitable for accelerated solvers.
Продукти | Ресурси
© 2024 by Linnk AI