The eigenvalue problem is a fundamental problem in scientific computing....
This paper is concerned with the inverse problem of constructing a symme...
Nonnegative matrix factorization arises widely in machine learning and d...
In this paper, we consider the sparse least squares regression problem w...
The QLP decomposition is one of the effective algorithms to approximate
...
In this paper, we consider the pole-zero assignment problem for vibrator...
The probabilistic Boolean network plays a remarkable role in the modelli...
In this paper, we consider the inverse eigenvalue problem for the positi...
In this paper, we present explicit expressions for the mixed and
compone...
In this paper, we derive new model formulations for computing generalize...