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Main Authors: Huang, Yakui, Dai, Yu-Hong, Liu, Xin-Wei
Format: Preprint
Published: 2022
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Online Access:https://arxiv.org/abs/2212.07255
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author Huang, Yakui
Dai, Yu-Hong
Liu, Xin-Wei
author_facet Huang, Yakui
Dai, Yu-Hong
Liu, Xin-Wei
contents Recent studies show that the two-dimensional quadratic termination property has great potential in improving performance of the gradient method. However, it is not clear whether higher-dimensional quadratic termination leads further benefits. In this paper, we provide an affirmative answer by introducing a mechanism of three-dimensional quadratic termination for the gradient method. A novel stepsize is derived from the mechanism such that a family of delayed gradient methods equipping with the novel stepsize have the three-dimensional quadratic termination property. When applied to the Barzilai--Borwein (BB) method, the novel stepsize does not require the use of any exact line search or the Hessian, and can be computed by stepsizes and gradient norms in previous iterations. Using long BB steps and some short steps associated with the novel stepsize in an adaptive manner, we develop an efficient gradient method for quadratic optimization and further extend it to general unconstrained optimization. Numerical experiments show that the three-dimensional quadratic termination property can significantly improve performance of the BB method, and the proposed method outperforms gradient methods that use stepsizes with the two-dimensional quadratic termination property.
format Preprint
id arxiv_https___arxiv_org_abs_2212_07255
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle A mechanism of three-dimensional quadratic termination for the gradient method with applications
Huang, Yakui
Dai, Yu-Hong
Liu, Xin-Wei
Optimization and Control
Recent studies show that the two-dimensional quadratic termination property has great potential in improving performance of the gradient method. However, it is not clear whether higher-dimensional quadratic termination leads further benefits. In this paper, we provide an affirmative answer by introducing a mechanism of three-dimensional quadratic termination for the gradient method. A novel stepsize is derived from the mechanism such that a family of delayed gradient methods equipping with the novel stepsize have the three-dimensional quadratic termination property. When applied to the Barzilai--Borwein (BB) method, the novel stepsize does not require the use of any exact line search or the Hessian, and can be computed by stepsizes and gradient norms in previous iterations. Using long BB steps and some short steps associated with the novel stepsize in an adaptive manner, we develop an efficient gradient method for quadratic optimization and further extend it to general unconstrained optimization. Numerical experiments show that the three-dimensional quadratic termination property can significantly improve performance of the BB method, and the proposed method outperforms gradient methods that use stepsizes with the two-dimensional quadratic termination property.
title A mechanism of three-dimensional quadratic termination for the gradient method with applications
topic Optimization and Control
url https://arxiv.org/abs/2212.07255