On Algorithms of Multiple Convolution in Problems Involving Optimization in Precision Distribution

In order to enhance accuracy in problems involving precision distribution, use of an algorithm of muliple convolution is desirable, yet often considered impractical due to its complicated operation and tedious processes. A method of optimization in precision distribution is presented that makes use of the minimum economic angle and with tolerance grade as the optimization unit thus greatly reducing the number of optimization steps necessary. This will render the results more accurate in processing , more simple convenient and practical.