Open AccessResearch on Application of Computer Big Data in Mathematical Polymorphic Game Algorithm Theory
Author(s) -
Zhuo Sun
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1865/4/042077
Subject(s) - computer science , process (computing) , reliability (semiconductor) , state (computer science) , controller (irrigation) , algorithm , algorithmic game theory , scale (ratio) , synchronization (alternating current) , game theory , big data , mathematical theory , theoretical computer science , sequential game , data mining , mathematics , computer network , power (physics) , channel (broadcasting) , physics , mathematical economics , quantum mechanics , agronomy , biology , operating system
In large-scale game activities, the computer big data system is collected, and then large-scale real-time data collection, processing and control systems are used to bring mathematical algorithm models, and state information reliability algorithms are used to illustrate the system control machine design and its Implementation based on VMS. This article calculates the most by calculation. The main design ideas in the game mathematical model, the research found that the system controller proposed by the system is a method to solve the multi-state process synchronization problem in the Client/Server computing system, and can effectively deal with the algorithm application research in the model.