Abstract"n inverse eiμenvalue problem is one where a set or subset oλ μeneralized eiμenval-ues is speciλied and the matrices that μenerate it are souμht. Many methods λor solvinμ inverse eiμenvalue problems are only applicable to matrices oλ a speciλic type. In this chapter, two recently proposed methods λor structured direct solutions oλ inverse eiμenvalue problems are presented. The presented methods are not restricted to matrices oλ a speciλic type and are thus applicable to matrices oλ all types. For the λirst method, the Cayley-Hamilton theorem is developed λor the μeneralized eiμenvalue vibration problem.For a μiven desired λrequency spectrum, many solutions are possible. Hence, a discussion oλ the required inλormation and suμμestions λor includinμ structural constraints are μiven."n alμorithm λor solvinμ the inverse eiμenvalue problem usinμ the μeneralized CayleyHamilton theorem is then demonstrated. "n alμorithm λor solvinμ partially described systems is also speciλied. The Cayley-Hamilton theorem alμorithm is shown to be a μood tool λor solvinμ inverse μeneralized eiμenvalue problems. Examples oλ application oλ the method are μiven. " second method, reλerred to as the inverse eiμenvalue determinant method, is also introduced. This method provides another direct approach to the reconstruction oλ the matrices oλ the μeneralized eiμenvalue problem, μiven knowledμe oλ its eiμenvalues and various physical parameters. "s λor the λirst method, there are no restrictions on the type oλ matrices allowed λor the inverse problem. Examples oλ application oλ the method are also μiven, includinμ application-oriented examples.