设计一个因子分解算法，并分析其复杂性。
Design a factorization algorithm and analysis of their complexity.
本文改进了这种直接因子分解算法，使它的输入、输出均以正常位序排列。
In this paper, a variation on the direct factor decomposition algorithms is given so that the input, output are arranged in the normal order.
目的：研究非负矩阵因子分解算法(NMF)用于手性药物HPLC - DAD二维数据解析的可行性及其影响因素。
Aim: to study the feasibility and influential factors for the resolution of HPLC-DAD data of chiral drugs by non-negative matrix factorization (NMF) algorithm.
本文借助于非负矩阵分解算法，提出了一种基于非负因子分析的模糊文本聚类方法。
Inspired by the nonnegative matrix factorization algorithm, we put forward an fuzzy text clustering method based on nonnegative factor analysis.
针对现有算法中精度与计算量的矛盾，提出一种基于因子分解与光束法平差的新算法。
A novel method based on factorization and bundle adjustment, as well as its principle and implementation is presented.
N区域分解算法中，松弛因子的选取起着关键作用。
The selection of relaxation factor plays a key role in D?N domain decomposition methods(DDM).
提出一种基于人眼视觉特性和改进的PCNN图像因子分解的X线医学图像增强算法。
An algorithm for medical X-ray image enhancement based on human visual properties and improved PCNN image factorization is proposed.
提出一种基于人眼视觉特性和改进的PCNN图像因子分解的X线医学图像增强算法。
An algorithm for medical X-ray image enhancement based on human visual properties and improved PCNN image factorization is proposed.
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