Accelerated Dai-Liao projection method for solving systems of monotone nonlinear equations with application to image deblurring
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Title
Accelerated Dai-Liao projection method for solving systems of monotone nonlinear equations with application to image deblurring
Authors
Keywords
-
Journal
JOURNAL OF GLOBAL OPTIMIZATION
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-07-21
DOI
10.1007/s10898-022-01213-4
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- A matrix-free quasi-Newton method for solving large-scale nonlinear systems
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- A globally convergent BFGS method for nonlinear monotone equations without any merit functions
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