matrix algorithms中文是什么意思

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中文翻譯
造句

矩陣算法

matrix n. (pl. matrices 或matrixes) ...
algorithm n. 【數(shù)學(xué)】算法；規(guī)則系統(tǒng)；演段。
algorithms 算法式
adaptability of algorithms 算法的適應(yīng)性
algorithms for optimization 最優(yōu)化算法
algorithms library 算法庫(kù)
analysis of algorithms 我想“算法分析
approximation algorithms 第三十五章近似算法
cache algorithms 快取文件置換機(jī)制
cultural algorithms 文化算法
enumeration algorithms 枚舉算法
equalization algorithms 均衡算法
genetic algorithms 遺傳算法
greedy algorithms 第十六章貪婪算法
hashing algorithms 散列算法
interpretation algorithms 解釋算法
introduction to algorithms 算法導(dǎo)論
library of algorithms 算法庫(kù)
mathematical algorithms 數(shù)學(xué)算法
modifying algorithms 變動(dòng)性算法
mutating algorithms 變序性算法
nonblocking algorithms 都聚集在非阻塞算法
numerical algorithms 數(shù)值算法
parallel algorithms 并行算法
permuting algorithms 排列算法

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例句與用法

Firstly the key technologies about initial alignment and attitude matrix algorithms are systematically discussed
首先對(duì)實(shí)現(xiàn)sins的初始對(duì)準(zhǔn)及姿態(tài)矩陣計(jì)算等關(guān)鍵技術(shù)進(jìn)行了系統(tǒng)研究。
For more on improving sparse matrix algorithms , read fast and effective algorithms for graph partitioning and sparse - matrix ordering
如果您想了解更多關(guān)于提高稀疏矩陣算法的信息，請(qǐng)閱讀
After this , two kinds of algorithms are proposed in this thesis . both of them are based on a decomposing jacobian matrix algorithm
在此基礎(chǔ)上，文章先對(duì)不良數(shù)據(jù)的檢測(cè)與辨識(shí)問(wèn)題進(jìn)行了闡述，介紹了常用的一些算法。
Secondly , the discernibility matrix algorithm is improved by proposing a more objective approach to evaluate the significance of attributes
其次，對(duì)差別矩陣算法進(jìn)行了改進(jìn)，更加客觀地評(píng)價(jià)屬性重要性，不再是只看數(shù)量，而是更注意質(zhì)量。
Secondly , measuring arrangement in three - phase distribution systems , decomposing jacobian matrix algorithms and how to choose pseudo - measurement weight are discussed
其次，對(duì)三相系統(tǒng)的量測(cè)設(shè)置，分解雅可比三相狀態(tài)估計(jì)算法和偽量測(cè)權(quán)值的選取進(jìn)行了闡述。
Compared with the traditional d - h transformation matrix algorithm , this method reduces the complex computation of inverse kinematic equations , which is very useful to improve the control speed of multi - joint robot
該方法與矩陣變換法相比能很大程度上減少運(yùn)動(dòng)方程逆解的計(jì)算量，對(duì)于提高關(guān)節(jié)的控制速度極為有利。
It not only could solve the problem of learning on the incremental data sets , but also could considerably reduce the size of traditional decision matrix and avoid the repeated computation in traditional decision matrix algorithm
這不僅解決了動(dòng)態(tài)數(shù)據(jù)環(huán)境下歸納學(xué)習(xí)問(wèn)題，而且能降低矩陣空間規(guī)模，避免了傳統(tǒng)決策矩陣算法中的重復(fù)計(jì)算。
Then two attribute - reducing algorithms : discernibility matrix algorithm and greedy rough set reducing algorithm are put forward . meanwhile the rule extractioon algorithm and a discretization method for continuous attributes are put forth too
本文提出了基于粗糙集的數(shù)據(jù)挖掘模型，并提出了其中的數(shù)據(jù)約簡(jiǎn)算法、規(guī)則提取算法及連續(xù)屬性值的離散化方法。
In the paper , the new electromagnetic scattering algorithms have been introduced - recursive aggregate t - matrix algorithm ( ratma ) and fast multipole algorithm ( fma ) . two kinds of methods are precise and efficient and have advantages over conventional method of moment in computational speed and requirement for storage space
本文研究了基于積分方程的電磁散射計(jì)算方法，主要研究了兩種算法：遞推t矩陣法和快速多極子法，這兩種算法都有計(jì)算量小、所需內(nèi)存少和精度高的優(yōu)點(diǎn)。
Applying model checking in software design and verification has been proved very difficult . software architectures are engineering artifacts that provide high - level and abstract descriptions of complex software systems . in this paper a direct model checking method based on kripke structure and matrix algorithm is provided
將model checking應(yīng)用到軟件正確性驗(yàn)證方面被證明是很困難的事情，軟件體系結(jié)構(gòu)sa software architecture通過(guò)對(duì)復(fù)雜軟件系統(tǒng)提供高層與抽象描述，為基于構(gòu)件化技術(shù)的大型軟件系統(tǒng)關(guān)鍵性質(zhì)的驗(yàn)證提供了有效的途徑。

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