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]). |