activity
19982017
most citedErgodic convergence rates of Markov processes--eigenvalues, inequalities and ergodic theory

13 citations · 48 across the 25 of their papers we have counts for

collaborators

25 papers

math.GM2017

Trilogy on Computing Maximal Eigenpair

Mu-Fa Chen

The eigenpair here means the twins consist of eigenvalue and its eigenvector. This paper introduces the three steps of our study on computing the maximal eigenpair. In the first tw…

math.PR2017★ 3 cited

Global algorithms for maximal eigenpair

Mu-Fa Chen

This paper is a continuation of \ct{cmf16} where an efficient algorithm for computing the maximal eigenpair was introduced first for tridiagonal matrices and then extended to the i…

math.PR2017★ 2 cited

The Charming Leading Eigenpair

Mu-Fa Chen

The leading eigenpair (the couple of eigenvalue and its eigenvector) or the first nontrivial one has different names in different contexts. It is the maximal one in the matrix theo…

math.PR2016★ 10 cited

Efficient initials for computing maximal eigenpair

Mu-Fa Chen

This paper introduces some efficient initials for a well-known algorithm (an inverse iteration) for computing the maximal eigenpair of a class of real matrices. The initials not on…

math.PR2015★ 7 cited

Practical Criterion for Uniqueness of -processes

Mu-Fa Chen

The note begins with a short story on seeking for a practical sufficiency theorem for the uniqueness of time-continuous Markov jump processes, starting around 1977. The general res…

math.PR2015★ 2 cited

A Comment on the Book "Continuous-Time Markov Chains" by W.J. Anderson

Mu-Fa Chen

The book "Continuous-Time Markov Chains" by W. J. Anderson collects a large part of the development in the past thirty years. It is now a popular reference for the researchers on t…