algorithm theory meaning in Chinese
算法理论
算法论
Examples
- In chapter 5 , the algorithm theory of the mrtd method is discussed , and the deduce of mrtd is consummated and the frame of mrtd is constructed . and this chapter deduces the detailed formula using battle - lemarie wavelets and harr wavelets , respectively
接着第五章讨论了mrtd的理论原理,补充和完善了mrtd的推导,构建了mrtd的基本框架,并分别以battle - lemarie小波和harr小波为例推导了详尽的迭代公式。 - The algorithms theory and realization of the l _ 1 - norm svm under linear and nonlinear conditions are emphatically studied . the optimization problem of l _ 1 - norm svm which adopts the l _ p - norm to measure the classification margin is analyzed . in high dimensions feature space , l _ 1 - norm svm shows better feature compression
重点研究了l _ 1范数支持向量机在线性和非线性两种情形下的算法理论和实现,分析了采用l _ p范数度量分类间隔的l _ p范数支持向量机最优化问题表示方法。 - This article discussed the problems about using fuzzy optimum for multiple resource - constrained in overlapping network , to determine the roles of the difference resources by fuzzy algorithm theory , then we treatments resources by quasi - shared method , and we will final solution this question about multiple resource - constrained in overlapping network
摘要针对工期固定情况下搭接网络中的多资源优化问题,运用模糊优选理化确定各种资源的重要性,进而对其进行同一化处理,最终解决搭接网络的多资源优化问题。 - The second chapter defines the concept of basic point 、 polar point 、 best polar point 、 stable polar point 、 degenerate polar point and non - degenerate polar point . it also points out that this algorithm theory is discussed under the degenerate complexion that is : , , then call is non - degenerate polar point . it also discussed the solution of the best polar point and put forward this quick algorithm theory and prove its convergence under all polar points are non - degenerate polar points
第二章定义了基点、极点、最优极点、稳定极点、退化极点和非退化极点等概念,最后指明本算法理论讨论的基础是基于非退化情况,即: ,其维数,则称为非退化极点,本文就是要在模型中所有极点都是非退化极点的情况下讨论最优极点的求解,并提出和证明了本文快速算法理论和收敛性,同时得到一个有意义的结论:稳定极点就是最小一乘估计。 - Genetic algorithm is the most representative and preliminary method of them . we introduced the basic principles , operations , steps , common characteristics , develop history and application field of genetic algorithm in the paper . good - point based genetic algorithm is a more efficient method based on genetic algorithm theory
其中最具代表性、最基本的就是标准遗传算法,在文中我们主要介绍了遗传算法的基本原理、基本操作、基本步骤、一般特点以及遗传算法的发展历史和应用领域。