A Numerical Method for Solving Inverse Real Symmetric Eigenvalue Problems

We present a method using Newton iteration and least squares techniques to solve inverse real symmetric eigenvalue problems. A matching algorithm is provided for cases where the number of prescribed eigenvalues is less than the dimension of the matrix. We consider the convergence of the method and present some numerical examples.