This paper presents a new three-term hybrid conjugate gradient projection method for handling large-scale convex-constrained nonlinear monotone equations that are prevalent in fields such as ...

Geo-electromagnetic methods, especially the magnetotelluric (MT) sounding technique, are irreplaceable geophysical methods used for imaging the Earth’s subsurface electrical structure. The ...

This paper proposes a family of line-search methods to deal with weighted orthogonal procrustes problems. In particular, the proposed family uses a search direction based on a convex combination ...

It is our pleasure to introduce the Research Topic on advances in noise reduction and feature extraction of acoustic signals in Frontiers in physics. Acoustic signal processing and its analysis is one ...

This article is about the gradient descent algorithm and the different alternatives that can be used instead of the gradient descent algorithm. Gradient descent is a popular optimisation technique in ...

Nonlinear and parametric processes are central in mastering wave propagation. They are at the core of numerous applications in optics and acoustics. In the case of water waves, the Faraday instability ...

Abstract: Conjugate gradient (CG) methods are a class of important methods for solving linear equations and nonlinear optimization problems. In this paper, we propose a new stochastic CG algorithm ...

ABSTRACT: Three PRP-type direct search methods for unconstrained optimization are presented. The methods adopt three kinds of recently developed descent conjugate gradient methods and the idea of ...

ABSTRACT: In this paper, three new hybrid nonlinear conjugate gradient methods are presented, which produce suf?cient descent search direction at every iteration. This property is independent of any ...