Duality Applied to the Complexity of Matrix Multiplication and Other Bilinear Forms.

Abstract

The paper considers the complexity of bilinear forms in a noncommutative ring. The dual of a computation is defined and applied to matrix multiplication and other bilinear forms. It is shown that the dual of an optimal computation gives an optimal computation for a dual problem. An nxm by mxp matrix product is shown to be the dual of an nxp by pxm or an mxn by nxp matrix product implying that each of the matrix products requires the same number of multiplications to compute. Finally an algorithm for computing a single bilinear form over a noncommutative ring with a minimum number of multiplications is derived by considering a dual problem. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1972
Accession Number
AD0751088

Entities

People

  • Jean Musinski
  • John Hopcroft

Organizations

  • Department of Computer Science, Cornell University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Computations
  • Mathematical Analysis
  • Mathematics

Fields of Study

  • Mathematics

Readers

  • Linear Algebra