2009Unpublished venueRequires access

Large matrix, small rank

B. David Saunders, Bryan Youse

Open publisher page 9 citations

Abstract

For the problem of computing the rank of a matrix we have a complexity result and a practical implementation, both of which apply best to the case of a matrix whose rank is substantially smaller than its order.

About this research paper

What this paper is about

For the problem of computing the rank of a matrix we have a complexity result and a practical implementation, both of which apply best to the case of a matrix whose rank is substantially smaller than its order.

Why it matters

OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

For the problem of computing the rank of a matrix we have a complexity result and a practical implementation, both of which apply best to the case of a matrix whose rank is substantially smaller than its order.

Key concepts: Rank (graph theory), Matrix (chemical analysis), Computer science, Low-rank approximation, Matrix algebra, Computational complexity theory, Algorithm, Theoretical computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
Large matrix, small rank — Research Paper | ScholarLens