Nov 23, 2021 · The method of nonlinear conjugate gradients (NCG) is widely used in practice for unconstrained optimization, but it satisfies weak complexity ...
The method of nonlinear conjugate gradients (NCG) is widely used in practice for unconstrained optimization, but it satisfies weak complexity bounds at best ...
Jun 5, 2024 · Nonlinear conjugate gradient (NCG) [21] is perhaps the most widely used first-order method for unconstrained optimization. It is an extension of ...
Jan 3, 2024 · The method of nonlinear conjugate gradients (NCG) is widely used in practice for unconstrained optimization, but it satisfies weak complexity ...
In this paper, we propose a nonlinear conjugate gradient scheme based on a simple line-search paradigm and a modified restart condition.
A Nonlinear Conjugate Gradient Algorithm with an Optimal Property and an Improved Wolfe Line Search · Computer Science, Mathematics. SIAM Journal on Optimization.
Abstract. Image restoration problems are often converted into large-scale, nonsmooth and non- convex optimization problems.
Nov 23, 2021 · The method of nonlinear conjugate gradients (NCG) is widely used in practice for unconstrained optimization, but it satisfies weak ...
The method of nonlinear conjugate gradients (NCG) is widely used in practice for unconstrained optimization, but it satisfies weak complexity bounds at best ...
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In this paper, we propose a smoothing nonlinear conjugate gradient method where an intelligent scheme is used to update the smoothing parameter at each ...