Accelerated Dai-Liao projection method for solving systems of monotone nonlinear equations with application to image deblurring

Branislav Ivanov (), Gradimir V. Milovanović () and Predrag S. Stanimirović ()
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Branislav Ivanov: University of Belgrade
Gradimir V. Milovanović: Serbian Academy of Sciences and Arts
Predrag S. Stanimirović: University of Niš

Journal of Global Optimization, 2023, vol. 85, issue 2, No 5, 377-420

Abstract: Abstract A modified Dai-Liao type conjugate gradient method for solving large-scale nonlinear systems of monotone equations is introduced and investigated in actual research. The starting point is the Dai-Liao type conjugate gradient method which is based on the descent Dai-Liao method and the hyperplane projection technique, known as the Dai-Liao projection method (DLPM). Our algorithm, termed MSMDLPM, proposes a novel search direction for the DLPM, which arises from appropriate acceleration parameters obtained after hybridizing the accelerated gradient-descent method MSM with the DLPM method. The main goal of the proposed MSMDLPM method is to correlate the MSM and the DLPM. The global convergence and the convergence rate of the MSMDLPM method are investigated theoretically. Numerical results show the efficiency of the proposed method in solving large-scale nonlinear systems of monotone equations. The effectiveness of the method in image restoration is verified based on performed numerical experiments.

Keywords: Dai–Liao conjugate gradient method; Nonlinear monotone system of equations; Projection method; Image deblurring problems; Convergence; 65K05; 90C30 (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10898-022-01213-4

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