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pro vyhledávání: '"Shamsi, M"'
Publikováno v:
In Fuel 1 June 2024 365
Publikováno v:
In Energy 15 May 2024 295
Publikováno v:
In Journal of Materials Research and Technology May-June 2024 30:4064-4108
Autor:
Maleknia, M., Shamsi, M.
In this paper, we combine the positive aspects of the Gradient Sampling (GS) and bundle methods, as the most efficient methods in nonsmooth optimization, to develop a robust method for solving unconstrained nonsmooth convex optimization problems. The
Externí odkaz:
http://arxiv.org/abs/1911.10546
Akademický článek
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Publikováno v:
In Computers and Electronics in Agriculture June 2023 209
Publikováno v:
In Mechanism and Machine Theory May 2023 183
Autor:
Maleknia, M., Shamsi, M.
In this paper, a modification to the Gradient Sampling (GS) method for minimizing nonsmooth nonconvex functions is presented. One drawback in GS method is the need of solving a Quadratic optimization Problem (QP) at each iteration, which is time-cons
Externí odkaz:
http://arxiv.org/abs/1907.01321
Publikováno v:
Fiyz̤, Vol 26, Iss 2, Pp 138-146 (2022)
Background: High-intensity functional training is a group- and individual-based exercise which increase physical fitness, and it seems to be useful for improving the health of the elderly. Therefore, this study aimed to investigate the effect of high
Externí odkaz:
https://doaj.org/article/7a93bb9ada234f59b9c2017ffa0b9ba4
Publikováno v:
In International Journal of Non-Linear Mechanics December 2022 147