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Gradient Methods in Mathematical Programming Part 3. Supermemory Gradient Method,
RICE UNIV HOUSTON TX AERO-ASTRONAUTICS GROUP
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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 two-dimensional search required by the memory gradient algorithm . Author
APPROVED FOR PUBLIC RELEASE