scholar.google.com › citations
Jul 20, 2022 · The common feature of all algorithms is that they employ an incremental quasi-Newton (IQN) strategy, specifically an incremental BFGS (IBFGS) strategy.
1. In this paper, we investigate the performance of algorithms for solving a nonconvex, nonsmooth, finite-sum minimization problem that arises in areas such ...
1. In this paper, we investigate the performance of algorithms for solving a nonconvex, nonsmooth, finite-sum minimization problem that arises in areas such ...
Sep 30, 2024 · Incremental quasi-Newton algorithms for solving a nonconvex, nonsmooth, finite-sum optimization problem · Gulcin Dinc Yalcin, Frank E. Curtis.
Jul 2, 2024 · We present preliminary results that benchmark the inexact-Newton algorithm against a conventional quasi-Newton algorithm on the Euler-based drag ...
People also ask
What is the quasi Newton method of optimization?
Which algorithm solve optimization problems?
Incremental Quasi-Newton Algorithms for Solving Nonconvex, Nonsmooth, Finite-Sum Optimization Problems. Optimization methods and software, 39(2):345–367, 2024.
Jan 29, 2024 · Incremental quasi-Newton algorithms for solving a nonconvex, nonsmooth, finite-sum optimization problem. tandfonline.com. 60 · Like Comment.
In this work, we propose an efficient quasi-Newton method named the Lazy Incremental Symmetric Rank-1 (LISR-1) method for the finite-sum minimization problem.
Jul 17, 2022 · We introduce SPIRAL, a SuPerlinearly convergent Incremental pRoximal ALgorithm, for solving nonconvex regularized finite sum problems under a relative ...
Missing: nonsmooth, | Show results with:nonsmooth,
A novel stochastic extra-step quasi-Newton method is developed to solve a class of nonsmooth nonconvex composite optimization problems to guarantee ...