首页> 外文期刊>Journal of Neuroscience Methods >A renumbering method to decrease matrix banding in equations describing branched neuron-like structures.
【24h】

A renumbering method to decrease matrix banding in equations describing branched neuron-like structures.

机译:一种用于减少描述分支神经元状结构的方程式中矩阵带的重编号方法。

获取原文
获取原文并翻译 | 示例
           

摘要

The solution to matrix equations which describe branched neuron-like structures can be made more efficient by minimizing matrix banding. This can be accomplished through the reordering of the compartmental numbering system. The renumbering method presented here extends upon the numbering method of Hines ((1984) Int. J. Biomed. Comput., 15: 69-76). A demonstration of efficient numbering will be presented for several general cases of branching structures. Theoretical computational savings can be estimated for the above structures. An algorithm to renumber a matrix already in Hines form will be described. Branched nerve equations, electrical networks and chemical reaction models are examples of systems which can benefit from this application.
机译:通过最小化矩阵谱带,可以使描述分支神经元状结构的矩阵方程的解更有效。这可以通过对隔室编号系统进行重新排序来实现。这里提出的重编号方法扩展了Hines的编号方法((1984)Int.J.Biomed.Comput。,15:69-76)。对于分支结构的几种一般情况,将进行有效编号的演示。可以为以上结构估计理论上的计算节省。将描述对已经为Hines形式的矩阵进行重新编号的算法。分支神经方程,电气网络和化学反应模型是可以从该应用中受益的系统示例。

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