matrix n. (pl. matrices 或matrixes) 1.【解剖学】子宫;母体;发源地,策源地,摇篮;【生物学】衬质细胞;间质;基质;母质。 2. 【矿物】母岩;脉石;【冶金】基体;【地质学;地理学】脉石;填质;杂矿石。 3. 【印刷】字模;型版,纸型;铸型,阴模。 4.【阵】(矩)阵,方阵;母式;【物理学】间架;【无线电】矩阵变换电路。 5.【染】原色〔红黄蓝白黑五种〕。 the matrix of a nail 【解剖学】指甲床。
Braces are used for the column matrices to distinguish them from rectangular matrices usually put in square brackets . 大括号用于列矩阵,以便使列矩阵与矩形矩阵区分开,矩形矩阵通常采用方括号。
Additive preservers of rank on rectangular matrices over fields 域上长方矩阵空间的加法秩保持
On existence of weighted group inverses of rectangular matrices 关于长方矩阵的加权群逆的存在性
On the other hand , we study asymptotically fast algorithm for rectangular matrix multiplication 本文还研究了矩阵乘法的渐近快速算法。
Solving linear equations arise in a surprising number in the computing problems of engineering , but sometimes they are unsolvable . in this paper fast algorithms are presented which compute the minimal norm least square solutions for linear equations with special rectangular matrices coefficients , such as vandermonde matrices , toeplitz matrices , loewner matrices etc . and then , this paper presents an algorithm of computing the left inverse or right inverse for these special rectangle matrices 工程中的计算问题大部分都可转化成求解线性方程组的问题,而这些线性方程组有的时候是不相容的,本文研究以一些特殊的长方矩阵为系数阵的不相容方程组? ? vandermonde方程组, toeplitz方程组, loewner方程组等的极小范数最小二乘解的快速算法,以及求这些特殊矩阵的左逆及右逆的快速算法。
It is abstracted whole factor information from the corresponding rectangular matrix which is made from many - point data in all dam . with analyzed the interrelation of survey data , it is abstracted the same essentiality variables and is made decentralize complex survey data be simple and whole . therefor , it is revealed the interrelation each other and is analyzed dam survey data , and is served for dam safety monitoring and comprehensive evaluation 从全坝多测点的测值所形成的相应矩阵中提取整体因素信息,分析各观测变量之间的相互关系,归纳出测量本质相同的变量,使分散复杂的观测数据成果简洁化、整体化,从而揭示出事物间的本质联系,进行大坝观测资料的整体分析,为大坝的安全监测和综合评价服务。
Adopting the globe pole mapping method of space analytic geometry , forming a topological mapping model from the high dimensionality vector to the low one , and then realizing a corresponding mapping from the rectangular matrix high dimensionality space text set to the low dimensionality space text set , finally , composing the corresponding arithmetics , accordingly solving the problem of nonlinear dimensionality reduction for text mining effectively , and overcoming some drawbacks in the former researches 摘要采用了空间解析几何中的球极映射方法,形成高维向量到低维向量的拓扑变换模型,实现了矩阵形式的高维空间文本集合到低维空间文本集合的一一映射,编制了相应的算法,从而有效地解决了文本挖掘中的非线性降维问题,克服了以往研究中的缺陷。