Vector labelling method in fixed points algorithm and array processors

Shin'Ichi Oishi*, Tadaaki Takase, Kiyotaka Yamamura


研究成果: Article査読


Studies of fixed point algorithms have advanced greatly in the last decade. These algorithms have been developed to construct globally fixed points of finite‐dimensional continuous maps, to which existence of fixed points is guaranteed by, for instance, Brouwer's fixed point theorem. However, it is pointed out that these algorithms become progressively slower with increasing dimension. In this paper it is shown that the vector labelling algorithm, one of the typical fixed point algorithms, can be performed efficiently in parallel on a suitable array processor system. Under certain conditions, the time complexity of the vector labelling algorithm is determined by pivot operations. It is shown that high parallel efficiency about 0.9 is attained by executing these pivot operations on our array processor. to further speed up the algorithm, a method is also shown for evading matrix inversion formerly needed at the beginning of the vector labelling algorithm.

ジャーナルElectronics and Communications in Japan (Part I: Communications)
出版ステータスPublished - 1983

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 電子工学および電気工学


「Vector labelling method in fixed points algorithm and array processors」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。