
Accession Number : AD0856001
Title : Gradient Methods in Mathematical Programming Part 3. Supermemory Gradient Method,
Corporate Author : RICE UNIV HOUSTON TX AEROASTRONAUTICS GROUP
Personal Author(s) : Cragg, E. E. ; Levy, A. V.
Report Date : 1969
Pagination or Media Count : 28
Abstract : A generalization of the memory gradient algorithm, called the supermemory gradient algorithm, is investigated. While the memory gradient algorithm is based on remembering one previous iteration, the supermemory gradient algorithm is based on remembering k previous iterations. The added complication is the need for a (k + 1)dimensional search at each iteration as opposed to the twodimensional search required by the memory gradient algorithm . (Author)
Descriptors : (*MATHEMATICAL PROGRAMMING, ITERATIONS), COMPUTER PROGRAMMING, PARTIAL DIFFERENTIAL EQUATIONS, NUMERICAL ANALYSIS, DIFFERENCE EQUATIONS, MATRICES(MATHEMATICS), CONVERGENCE, ALGORITHMS.
Subject Categories : Operations Research
Computer Programming and Software
Distribution Statement : APPROVED FOR PUBLIC RELEASE