College of Computer Science and Mathematics

Discussion of a master’s thesis in the Faculty of Computer Science and Mathematics – Department of Mathematics Sciences entitled:Development of some associated vectors to solve unconstrained optimization problems with applications in neural networks.It was discussed in the discussion room at the Faculty of Computer Science and Mathematics at the University of Mosul on Monday, 9/19/2022
Master’s thesis by student Ali Hadi Hassan Ali and supervised by Prof. Dr. Khalil Khader Abbou.
In this thesis, some hybrid algorithms were discussed and developed. In the second chapter, the HS algorithm and the DY algorithm were used. The DY algorithm has strong global convergence properties, while the HS algorithm has good computational results. By taking advantage of the properties of DY and HS, a hybrid KA1 algorithm was proposed, and the regression and absolute convergence property of these were proven. algorithm.In the third chapter, the KA2 hybrid algorithm was proposed between the FR algorithm, which has comprehensive convergence properties, and the PR algorithm, which has good computational properties.
Our main goal is to have algorithms capable of solving large scale non-constrained nonlinear optimization problems and give us good results when solving these problems.
The discussion committee was chaired by Prof. Bassem Abbas Hassan / University of Mosul / College of Computer Science and Mathematics.
The membership of:
Assistant Professor Dr. Ghada Muayyad Rasheed/ University of Mosul/ College of Computer Science and Mathematics.
Assistant Professor Dr. Horaz Nazim Jabbar / University of Kirkuk / College of Science.
With the membership and supervision of Prof. Dr. Khalil Khader Abbo/Talafar University/College of Basic Education.