Ability to Apply Mathematical Modeling on Account of DBDT Algorithm

Abstract

In the era of big data, more and more information is shared, which provides sufficient resources for the development of social science and technology. All these dynamic developments are inseparable from mathematical models. In the information environment, students' modeling ability and consciousness are at the lower middle level. Improving this ability is a huge task to be solved. It is a good breakthrough to cultivate students' mathematical modeling application ability from the perspective of algorithm. Try to use algorithm theory to solve the suspicious and difficult points of mathematical modeling application ability. The research on improving the application ability of mathematical modeling on account of DBDT algorithm is a subject of contemporary significance, which must be strengthened. This paper studies the definition, concept and related knowledge on account of DBDT algorithm, and points out a series of knowledge and theories to improve the application ability of mathematical modeling on account of DBDT algorithm. In the text, the data is tested, and the results show that the improvement of mathematical modeling application ability on account of DBDT algorithm achieves 82.20%, 90.54%, 93.05% and 98.12% high efficiency in terms of system feasibility, innovation, fault tolerance and self-optimization performance.