Preconditioned nonlinear conjugate gradient method for micromagnetic energy minimization

DOI10.1016/j.cpc.2018.09.004arXiv1801.03690MaRDI QIDQ6101955

Lukas Exl, Johann Fischbacher, Alexander Kovacs, Thomas Schrefl, Markus Gusenbauer, Harald Oezelt

Publication date: 5 May 2023

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1801.03690

zbMATH Keywords

energy minimizationpreconditioningmicromagneticsGPU accelerationground state computation

Mathematics Subject Classification ID

Optics, electromagnetic theory (78-XX) Statistical mechanics, structure of matter (82-XX)

Related Items (7)

Fast and robust algorithm for energy minimization of spin systems applied in an analysis of high temperature spin configurations in terms of skyrmion density ⋮ An Accelerated Three-Term Extension of a Descent Nonlinear Conjugate Gradient Method ⋮ A family of the modified three-term Hestenes-Stiefel conjugate gradient method with sufficient descent and conjugacy conditions ⋮ A descent family of the spectral Hestenes–Stiefel method by considering the quasi-Newton method ⋮ A descent extension of a modified Polak-Ribière-Polyak method with application in image restoration problem ⋮ Unnamed Item ⋮ Dai-Liao extensions of a descent hybrid nonlinear conjugate gradient method with application in signal processing

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