Application of the alternating direction method for an inverse monic quadratic eigenvalue problem
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Publication:278291
DOI10.1016/j.amc.2014.07.011zbMath1335.15020OpenAlexW1982705251MaRDI QIDQ278291
Publication date: 2 May 2016
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2014.07.011
convex programmingalternating direction methodinverse monic quadratic eigenvalue problempartial eigenstructure
Convex programming (90C25) Eigenvalues, singular values, and eigenvectors (15A18) Inverse problems in linear algebra (15A29) Numerical solutions to inverse eigenvalue problems (65F18)
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A direct method for updating mass and stiffness matrices with submatrix constraints ⋮ Solution of the linearly structured partial polynomial inverse eigenvalue problem ⋮ Delay dynamic double integral inequalities on time scales with applications ⋮ Updating \(\star \)-palindromic quadratic systems with no spill-over ⋮ A note on convex relaxations for the inverse eigenvalue problem ⋮ An inverse eigenvalue problem in symmetric sparse quadratic model updating ⋮ On inverse eigenvalue problems of quadratic palindromic systems with partially prescribed eigenstructure ⋮ Least squares solutions of quadratic inverse eigenvalue problem with partially bisymmetric matrices under prescribed submatrix constraints ⋮ A new updating method for the damped mass-spring systems
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