Abstract
The present paper describes an implementation of the Gauss constrained algorithm for the optimum sizing of structural systems. The method provides a robust approach for solving linearly and quadratically constrained optimization problems. In addition to an ability to handle both equality and inequality constraints efficiently, the method does not require the computation of a step size parameter in the solution strategy. The paper describes the use of approximation concepts to represent structural synthesis problems in a form amenable to the method.
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