The exact worst-case convergence rate of the gradient method with fixed step lengths for L-smooth functions

Hadi Abbaszadehpeivasti; Etienne de Klerk; Moslem Zamani

doi:10.1007/s11590-021-01821-1

The exact worst-case convergence rate of the gradient method with fixed step lengths for L-smooth functions

Hadi Abbaszadehpeivasti
, Etienne de Klerk
, Moslem Zamani^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

5 Citations (Scopus)

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Abstract

In this paper, we study the convergence rate of the gradient (or steepest descent) method with fixed step lengths for finding a stationary point of an L-smooth function. We establish a new convergence rate, and show that the bound may be exact in some cases, in particular when all step lengths lie in the interval (0,1/L]. In addition, we derive an optimal step length with respect to the new bound.

Original language	English
Pages (from-to)	1649–1661
Journal	Optimization Letters
Volume	16
Issue number	6
DOIs	https://doi.org/10.1007/s11590-021-01821-1
Publication status	Published - Jul 2022

Keywords

l-smooth optimization
gradient method
performance estomation prolem
semidefinite programming

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10.1007/s11590-021-01821-1

Gradient_descent_fixed_steps_v5 (Moslem Zamani's conflicted copy 2021-10-06)Accepted author manuscript, 420 KB

https://arxiv.org/abs/2104.05468

Cite this

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abstract = "In this paper, we study the convergence rate of the gradient (or steepest descent) method with fixed step lengths for finding a stationary point of an L-smooth function. We establish a new convergence rate, and show that the bound may be exact in some cases, in particular when all step lengths lie in the interval (0,1/L]. In addition, we derive an optimal step length with respect to the new bound.",

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AB - In this paper, we study the convergence rate of the gradient (or steepest descent) method with fixed step lengths for finding a stationary point of an L-smooth function. We establish a new convergence rate, and show that the bound may be exact in some cases, in particular when all step lengths lie in the interval (0,1/L]. In addition, we derive an optimal step length with respect to the new bound.

KW - l-smooth optimization

KW - gradient method

KW - performance estomation prolem

KW - semidefinite programming

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JO - Optimization Letters

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The exact worst-case convergence rate of the gradient method with fixed step lengths for L-smooth functions

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Keywords

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