返回
摘要
En 中文
A hybrid algorithm for computing the determinant of a matrix whose entries are polynomials is presented. It is based on the dimension-decreasing algorithm [22] and the parallel algorithm for computing a symbolic determinant of [19]. First, through the dimension-decreasing algorithm, a given multivariate matrix can be converted to a bivariate matrix. Then, the parallel algorithm can be applied to effectively compute the determinant of the bivariate matrix. Experimental results show that the new algorithm can not only reduce enormously the intermediate expression swell in the process of symbolic computation, but also achieve higher degree of parallelism, compared with the single parallel algorithm given in [19]. (C) 2009 Elsevier Inc. All rights reserved.
Keyword:
Symbolic determinants
Dimension-decreasing algorithm
Parallel computation
Resultant computation
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.4
论文数:
2.3W
被引数:
3.3W
机构
暂无机构信息
引用论文
Interaction of Native and Apo-carbonic Anhydrase with Hydrophobic Adsorbents: A Comparative Structure-function Study
BMB Reports
IF0
Blue Luminescence from a Thin Film of the AlQ3/SiO2 Organic–Inorganic Hybrid MaterialAlQ3/SiO2有机-无机杂化材料薄膜的蓝色发光
没有更多内容

