Impulse noise removal by an adaptive trust-region method-Reference-Cited by-同舟云学术

Impulse noise removal by an adaptive trust-region method

Published:2019-01-24 Issue:22 Volume:23 Page:11901-11923
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Kimiaei Morteza,Rahpeymaii Farzad

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s00500-018-03745-y/fulltext.html

Reference87 articles.

1. Ahookhosh M (2018) Optimal subgradient methods: computational properties for large-scale linear inverse problems. Optim Eng. https://link.springer.com/article/10.1007/s11081-018-9378-5

2. Ahookhosh M, Amini K, Kimiaei M, Peyghami MR (2016) A limited memory adaptive trust-region approach for large-scale unconstrained optimization. B Iran Math Soc 42(4):819–837

3. Ahookhosh M, Amini K (2012) An efficient nonmonotone trust-region method for unconstrained optimization. Numer Algorithms 59(4):523–540

4. Ahookhosh M, Esmaeili H, Kimiaei M (2013) An effective trust-region-based approach for symmetric nonlinear systems. Int J Comput Math 90(3):671–690

5. Ahookhosh M, Ghaderi S (2017) On efficiency of nonmonotone Armijo-type line searches. Appl Math Model 43:170–190

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