Margery W. Ratner

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An algorithm for solving nonlinear optimization problems is described along with its implementation as a Fortran program. Computational results are provided which compare its performance with that of other algorithms. The generalized reduced gradient (GRG) algorithm used is a nonlinear extension of the simplex method for linear programming. It is shown that(More)
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