Computer Application Scenarios of Stochastic Optimization Model: From Data Complexity Perspectives

摘要

Computer application scenarios of the stochastic optimization model from data complexity perspectives is studied in this paper. The implementation design of the computer architecture changes with the improvement of chip integration. Whenever the feature size is reduced to a certain level, not only can more functional blocks be integrated on the chip, but there will also be some new physical constraints to consider go to chip design. Hence, the data complexity optimization should be then considered. The use of virtual machines or virtual networks can be expressed as a type of mapping process. We consider the core applications of the fuzzy model to organize the optimization steps for the complexity estimation. The exepriment is conducted on the public database and the performance is verified.