浅析计算机编程中数学算法的优化策略  

Analysis of Optimization Strategies for Mathematical Algorithms in Computer Programming

作　　者：李傲 LI Ao(Kunming University of Science and Technology,Kunming 650500,China)

机构地区：[1]昆明理工大学,云南昆明650500

出　　处：《数字通信世界》2023年第8期86-88,共3页Digital Communication World

摘　　要：在计算机编程中,数学算法的优化一直是一个非常重要的课题。文章通过总结常见的数学算法,提出了一些优化策略。数学算法的效率和性能往往是制约整个应用程序性能的关键因素之一,通过实例展示了这些策略的实际效果,证明了它们对于提升算法性能和优化代码效率的重要作用,分别从线性代数、离散数学、概率论、微积分等方面,总结常见的数学算法,并提出了一些优化策略。In computer programming,the optimization of mathematical algorithms has always been a very important topic.This article summarizes common mathematical algorithms and proposes some optimization strategies.The efficiency and performance of mathematical algorithms are often one of the key factors that constrain the performance of the entire application.The practical effects of these strategies have been demonstrated through examples,demonstrating their important role in improving algorithm performance and optimizing code efficiency;From linear algebra,discrete mathematics,probability theory,calculus and other aspects,the common mathematical algorithms are summarized,and some optimization strategies are proposed.

关 键 词：数学算法 优化策略 算法设计 数据结构 代码优化 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]