Key Technologies in Computer Algorithm Dynamics Based on Front-end and Front-end Separation System

Qingrong Yang
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Abstract

In the theoretical research and simulation experiment of computer, the front and rear end separation technology is widely used. In this paper, continuous media is modeled and dynamically simulated based on C # language. In order to facilitate the effective storage and management of some data, it is important to study the key technologies of the method of separating the front and back ends. In this paper, the computer dynamic algorithm and key technology of the front and back-end separation system are studied by using experimental comparison and encryption methods. The experimental data shows that the number of data packets optimized by the front and rear separation system is only 1% - 2%, and the loading time is about 3%. The system adopts the front and rear end separation architecture, the dynamic algorithm, data visualization and multi-language support and other technical means, making the algorithm development more flexible and efficient, and can meet the personalized needs of users. In addition, the system also provides a platform for algorithm researchers to communicate and share, which can promote the development and popularization of algorithm research.
基于前端与前端分离系统的计算机算法动力学关键技术
在理论研究和计算机仿真实验中,前后端分离技术得到了广泛的应用。本文基于c#语言对连续介质进行了建模和动态仿真。为了便于对部分数据进行有效的存储和管理,研究前端与后端分离方法的关键技术十分重要。本文采用实验对比和加密方法,对前后端分离系统的计算机动态算法和关键技术进行了研究。实验数据表明,前后分离系统优化后的数据包数仅为1% ~ 2%,加载时间约为3%。系统采用前后端分离架构、动态算法、数据可视化和多语言支持等技术手段,使算法开发更加灵活高效,能够满足用户的个性化需求。此外,该系统还为算法研究人员提供了一个交流和分享的平台,可以促进算法研究的发展和普及。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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