Description
Abstract:An algorithm based on convex programming is developed for optimum time compression in network scheduling systems. The development allows for the activity time-cost trade-off functions to be any continuous differentiable convex function. Decomposition theory is then applied to reduce the amount of computation necessary. This along with a limited number of rules to structure any incoming vector makes the algorithm amenable to time compression in large project networks.
Item Description:"May 2, 1968."
"Research conducted through the Texas A & M Research Foundation."
Physical Description:27 leaves, 8 unnumbered leaves : illustrations ; 28 cm
Bibliography:Includes bibliographical references (leaves [28-29]).