The generalized conjugate direction method for solving quadratic inverse eigenvalue problems over generalized skew Hamiltonian matrices with a submatrix constraint

The generalized conjugate direction method for solving quadratic inverse eigenvalue problems over generalized skew Hamiltonian matrices with a submatrix constraint

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In this paper, we consider a class of constrained quadratic inverse eigenvalue Problem 1.1.Then, a generalized conjugate direction method is proposed to obtain the generalized skew Hamiltonian matrix Fusewire solutions with a submatrix constraint.

In addition, by choosing a special kind of initial matrices, it is shown that the unique least Frobenius norm solutions can be obtained consequently.Some numerical results are AEG L6FBG842R ProSense 8 kg 1400rpm Washing Machine White reported to demonstrate the efficiency of our algorithm.