Abstract

Local and global knowledge in rule-based forms is combined in an active set strategy for nonlinear programming design models. The combined strategy is implemented with a reduced gradient algorithm for solution of the equality constrained subproblem. The strategy unifies previously separate local and global strategies. Algorithmic implementation and performance are discussed together with examples. This article is a sequel to a previous one describing a linear programming application of the strategy.

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