Computing exponentials of essentially non-negative matrices entrywise to high relative accuracy

Jungong Xue, Qiang Ye

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

A real square matrix is said to be essentially non-negative if all of its off-diagonal entries are non-negative. It has recently been shown that the exponential of an essentially non-negative matrix is determined entrywise to high relative accuracy by its entries up to a condition number intrinsic to the exponential function (Numer. Math. 110 (2008), 393-403). Thus the smaller entries of the exponential may be computed to the same relative accuracy as the bigger entries. This paper develops algorithms to compute exponentials of essentially non-negative matrices entrywise to high relative accuracy.

Original languageEnglish
Pages (from-to)1577-1596
Number of pages20
JournalMathematics of Computation
Volume82
Issue number283
DOIs
StatePublished - 2013

ASJC Scopus subject areas

  • Algebra and Number Theory
  • Computational Mathematics
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'Computing exponentials of essentially non-negative matrices entrywise to high relative accuracy'. Together they form a unique fingerprint.

Cite this