TY - JOUR
T1 - General Solutions for a Class of Inverse Quadratic Eigenvalue Problems
AU - Xiaoqin Tan & Li Wang
JO - East Asian Journal on Applied Mathematics
VL - 1
SP - 69
EP - 81
PY - 2018
DA - 2018/02
SN - 4
DO - http://doi.org/10.4208/eajam.100413.021013a
UR - https://global-sci.org/intro/article_detail/eajam/10822.html
KW - Quadratic eigenvalue problem, inverse quadratic eigenvalue problem, partially prescribed spectral information.
AB - <p style="text-align: justify;">Based on various matrix decompositions, we compare different techniques
for solving the inverse quadratic eigenvalue problem, where $n×n$ real symmetric matrices $M$, $C$ and $K$ are constructed so that the quadratic pencil $Q(λ) = λ^{2}M+λC+K$ yields good approximations for the given $k$ eigenpairs. We discuss the case where $M$ is
positive definite for $1≤ k≤n$, and a general solution to this problem for $n+1≤k≤2n$.
The efficiency of our methods is illustrated by some numerical experiments.</p>