The PIMS Postdoctoral Fellow Seminar: Sajad Fathi Hafshejani

  • Date: 04/07/2021
  • Time: 09:30
Sajad Fathi Hafshejani, University of Lethbridge



The non-monotone technique for optimization algorithms.


There are various iterative approaches for solving unconstrained optimization problems. Between them, the non-monotone technique is a popular approach for improving the iterative algorithms in optimization. The non-monotone technique not only can improve the likelihood of finding the global optimum but also can improve the numerical performance of approaches. Here, we investigate the non-monotone strategy and present some properties of this technique. Some numerical results are also presented.




Speaker Biography:
Sajad Fathi Hafshejani received the MSc. degree in Applied Mathematics from K.N.Toosi University of Technology, Tehran, Iran, in 2012, and the Ph.D. degree in Applied Mathematics from the Shiraz University of Technology, Shiraz, Iran, in 2020. From May 2019 to December 2019, he was a Visiting Research Fellow at McGill University. He is currently a Postdoctoral Fellow at the University of Lethbridge. His research interests include optimization algorithms for convex and non-convex problems, integer programming, and machine learning.



This event is part of the Emergent Research: The PIMS Postdoctoral Fellow Colloquium Series.


To register for this event (and others in the series), please register here, connection details will be sent out before each meeting.


This seminar takes places across multiple timezones: 9:30 AM Pacific/ 10:30 AM Mountain / 11:30 AM Central