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The optimization of nonlinear systems subject to linear terminal state variable constraints is considered. A technique for solving this class of problems is proposed that involves a piecewise polynomial parameterization of the system variables. The optimal control problem is thereby reduced to a linearly constrained parameter optimization problem which can be solved efficiently using the quadratically convergent Gold-farb-Lapidus algorithm. Illustrative numerical examples are presented.