{"id":43137,"date":"2026-06-11T16:21:00","date_gmt":"2026-06-11T16:21:00","guid":{"rendered":"https:\/\/uomosul.edu.iq\/en\/computerscience\/?p=43137"},"modified":"2026-06-11T16:22:47","modified_gmt":"2026-06-11T16:22:47","slug":"1-687","status":"publish","type":"post","link":"https:\/\/uomosul.edu.iq\/en\/computerscience\/2026\/06\/11\/1-687\/","title":{"rendered":"Doctorial thesis by &#8221; Radhwan Basem Thanoon Al-Sabawi \u00a0\u00a0&#8221; Department of Mathematics"},"content":{"rendered":"<p>Discussion of the Doctorial thesis in the College of Computer Science and Mathematics -Department of (Department of Mathematics) entitled:<\/p>\n<p>The Accelerated Conjugate Gradient Method with New Parameters for Unconstrained Optimization Problems<\/p>\n<p>supervised by \u00a0Prof. Dr. Ghada Moayid Rasheed AL-Naemi<\/p>\n<p>The thesis addressed.<\/p>\n<p>This thesis aims to develop novel parameters in the field of numerical<\/p>\n<p>optimization, focusing on gradient algorithms, to improve the theoretical<\/p>\n<p>efficiency and numerical performance of unconstrained optimization problems,<\/p>\n<p>particularly large-scale problems. A set of proposed parameters was derived<\/p>\n<p>using various formulas, including the low-memory BFGS method, \ud835\udf02\ud835\udc5b\u22121<\/p>\n<p>derivation, spectral parameters, and binomial conjugate gradient algorithms.<\/p>\n<p>These parameters underwent rigorous mathematical analysis, and their<\/p>\n<p>fundamental properties, including adequate regression and overall convergence,<\/p>\n<p>were proven under appropriate standard assumptions.<\/p>\n<p>To assess the efficiency of the proposed parameters, comprehensive<\/p>\n<p>numerical experiments were conducted using 46 standard test functions,<\/p>\n<p>compared with two commonly used classical parameters, and systematic<\/p>\n<p>comparisons were made with established traditional methods. The results<\/p>\n<p>showed a significant advantage for the proposed parameters in terms of<\/p>\n<p>convergence speed and numerical stability.<\/p>\n<p>The discussion committee consists of<\/p>\n<ul>\n<li>Dr. Ali Hassan Nasser Al-Fayadh (Chairman)<\/li>\n<li>Dr. Basim Abbas Hassan (Member)<\/li>\n<li>Dr. Hamsa Tharwat Saeed (Member)<\/li>\n<li>Dr. Abdul-Ghafoor Mohammed Ameen Khidr (Member)<\/li>\n<li>Dr. Hisham Mohammed Khidr (Member)<\/li>\n<li>Dr. Ghada Muayyad Rasheed (Member &amp; Supervisor)<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Discussion of the Doctorial thesis in the College of Computer Science and Mathematics -Department of (Department of Mathematics) entitled: The Accelerated Conjugate Gradient Method with New Parameters for Unconstrained Optimization Problems supervised by \u00a0Prof. Dr. Ghada Moayid Rasheed AL-Naemi The thesis addressed. This thesis aims to develop novel parameters in the field of numerical optimization, focusing on gradient algorithms, to improve the theoretical efficiency and numerical performance of unconstrained optimization problems, particularly large-scale problems. A set of proposed parameters was derived using various formulas, including the low-memory BFGS method, \ud835\udf02\ud835\udc5b\u22121 derivation, spectral parameters, and binomial conjugate gradient algorithms. These parameters underwent <a href=\"https:\/\/uomosul.edu.iq\/en\/computerscience\/2026\/06\/11\/1-687\/\"> [Read More]<\/a><\/p>\n","protected":false},"author":24,"featured_media":43138,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-43137","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-viva"],"_links":{"self":[{"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/posts\/43137","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/users\/24"}],"replies":[{"embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/comments?post=43137"}],"version-history":[{"count":1,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/posts\/43137\/revisions"}],"predecessor-version":[{"id":43139,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/posts\/43137\/revisions\/43139"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/media\/43138"}],"wp:attachment":[{"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/media?parent=43137"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/categories?post=43137"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/tags?post=43137"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}