【24h】

Parallel Homotopy Algorithms to Solve Polynomial Systems

机译:求解多项式系统的并行同伦算法

获取原文
获取原文并翻译 | 示例

摘要

Homotopy continuation methods to compute numerical approximations to all isolated solutions of a polynomial system are known as "embarrassingly parallel", i.e.: because of their low communication overhead, these methods scale very well for a large number of processors. Because so many important problems remain unsolved mainly due to their intrinsic computational complexity, it would be embarrassing not to develop parallel implementations of polynomial homotopy continuation methods. This paper concerns the development of "parallel PHCpack", a project which started a couple of years ago in collaboration with Yusong Wang, and which currently continues with Anton Leykin (parallel irreducible decomposition) and Yan Zhuang (parallel polyhedral homotopies). We report on our efforts to make PHCpack ready to solve large polynomial systems which arise in applications.
机译:用于计算多项式系统所有孤立解的数值近似值的同伦连续方法被称为“令人尴尬的并行”,即:由于它们的通信开销低,这些方法非常适合大量处理器。由于这么多重要的问题仍然主要由于其固有的计算复杂性而无法解决,因此如果不开发多项式同伦连续方法的并行实现将很尴尬。本文涉及“并行PHCpack”的开发,该项目是在几年前与Wang Yusong合作发起的,目前正在继续进行Anton Leykin(并行不可还原的分解)和Yan Zhuang(并行多面体同位体)。我们报告了为使PHCpack准备好解决应用程序中出现的大型多项式系统所做的努力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号