For nonlinear programming problems which are factorable, a computable procedure for obtaining tight underestimating convex programs is presented. This is used to exclude from consideration regions where the global minimizer cannot exist.
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This work was supported by Contract AFORS-73-2504, U.S. Air Force, Office of Scientific Research.
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McCormick, G.P. Computability of global solutions to factorable nonconvex programs: Part I — Convex underestimating problems. Mathematical Programming 10, 147–175 (1976). https://doi.org/10.1007/BF01580665