The focus of this dissertation is on matrix decompositions that use a limited amount of computer memory, thereby allowing problems with a very large number of variables to be solved. Speciically, we will focus on two applications areas: optimization and information retrieval. We introduce a general algebraic form for the matrix update in limited-memory quasi-Newton methods. Many well-known meth...

Solving traffic equilibrium problem, or “traffic assignment”, as the last step in Transportation Planning, distributes OD trip demands of a transportation network over the network links with regard to Traffic Equilibrium Law, and estimates the link flows. In formulations of traffic equilibrium which are based on path saving, the memory consumption is considerably affected by the number of effct...

In this study, based on the optimal free derivative without memory methods proposed by Cordero et al. [A. Cordero, J.L. Hueso, E. Martinez, J.R. Torregrosa, Generating optimal derivative free iterative methods for nonlinear equations by using polynomial interpolation, Mathematical and Computer Modeling. 57 (2013) 1950-1956], we develop two new iterative with memory methods for solving a nonline...

objectives: this study examined the relationship between working and short-term memory performance, and their effects on cochlear implant outcomes (speech perception and speech production) in cochlear implanted children aged 7-13 years. the study also compared the memory performance of cochlear implanted children with their normal hearing peers. methods: thirty-one cochlear implanted children w...

introduction: intracerebroventricular (i.c.v.) injection of streptozotocin (stz) to rodents has been reported as an appropriate model for sporadic dementia of alzheimer's type (sdat), characterized by a progressive impairment of memory. however, very little or nothing is known about non-cognitive behavioral effects in the stz model. this study was carried out in order to show the protectiv...