Abbas Y. Al-Bayati - Basim A. Hassan - University of Mosul

Abbas Y. Al-Bayati - Basim A. Hassan and Sawsan S. IsmaelREFERENCES[1] Al-Bayati, A.Y. (1991). “A new family of self-scaling variable metric algorithmsfor unconstrained optimization”, Journal of Education & Science, MosulUniversity, IRAQ, 12, pp. (25-54).[2] Al-Bayati, A.Y. (2001). “New generalized conjugate gradient methods for thenon-quadratic model in unconstrained optimization”, Journal of Al-Yarmouk,Jordan, 10, pp. (9-25).[3] Al-Baali, M. (1985). “Descent property and global convergence of the FletcherReeves method with inexact line search”, IMA Journal of Numerical Analysis, 5,pp.(121-164).[4] Al-Assady, N. H. and Al-Bayati, A. Y. (1994). “Minimization of extendedquadratic function with inexact line searches”, JOTA 82 pp.(139-147).[5] Bunday, B.D. (1984). “Basic optimization method”, Edward Arnold, BedfordSquare, London.[6] Buckley, A.G. (1978). “A combined conjugate gradient quasi Newtonminimization algorithm”, Mathematical Programming, 15, pp.(200-210).[7] Fletcher, R. and Reeves, C.M. (1964). “Function minimization in conjugategradients”, Computer Journal, 7, pp.(54-149).[8] Nocedal J. (2005), " Unconstrained Optimization Test Function Research Institutefor Informatics", Center for advanced Modeling and Optimization, Bucharest1,Romania.[9] Powell, M.J.D. (1977). “Restart procedure for the conjugate gradient method”,Mathematical Programming, 12, pp.(241-254).[10] Powell, M.J. (2000). “UOBYQA unconstrained optimization by quadraticapproximation”, DAMTP 2000, NA14, pp.(2-32).[11] Sloboda, F. (1980). “A generalized conjugate gradient algorithm”, NumericalMathematics, 35, pp.(223-230).[12] Spedicato, E. (1978). “A note on the determination of the scaling parameters in aclass of quasi-Newton methods for function minimization”, JOTA, 20, pp.(1-20).20