Two accelerated nonmonotone adaptive trust region line search methods
Author:
Funder
Iran National Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
http://link.springer.com/article/10.1007/s11075-017-0406-x/fulltext.html
Reference24 articles.
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2. Ahookhoosh, M., Amini, K., Peyghami, M.: A nonmonotone trust region line search method for large scale unconstrained optimization. Appl. Math. Model. 36(1), 478–487 (2012)
3. Andrei, N.: An acceleration of gradient descent algorithm with backtracking for unconstrained optimization. Numer. Algorithms 42(1), 63–73 (2006)
4. Babaie–Kafaki, S.: On optimality of the parameters of self–scaling memoryless quasi–Newton updating formulae. J. Optim. Theory Appl. 167(1), 91–101 (2015)
5. Dolan, E.D., Moré, J.J.: Benchmarking optimization software with performance profiles. Math. Programming 91(2, Ser. A), 201–213 (2002)
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