“…They are popular subject of research related with mathematics, physics and engineering. Some important problems like computing eigenvalues and eigenvectors of arrowhead matrices [9,2,21], solving inverse eigenvalue problems [15,28,25,24], computing the inverse of arrowhead matrices [7,26,4], and solving symmetric arrowhead systems [5] have been considered by various authors over the last four decades. Arrowhead matrices are often an essential tool for the computation of the eigenvalue problems for large and sparse or tridiagonal matrices [22,6,8,29,23].…”