Carnegie Mellon University
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An updated Rosen partitioning algorithm for nonlinear programming

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journal contribution
posted on 1990-01-01, 00:00 authored by Richard H. Edahl, Carnegie Mellon University.Engineering Design Research Center.
Abstract: "Rosen's Partitioning Algorithm for nonlinear programming was developed using a gradient projection method for the master problem. Since then, developments in NLP algorithms have shown the power of the Han-Powell successive quadratic programming algorithm. Here, the formulas necessary for using the Han-Powell algorithm for the master problem of Rosen's algorithm are derived. Sensitivity results are used to handle the 'crossover' problem."

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1990-01-01