Connecting optimization with spectral analysis of tri-diagonal matrices
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Publication:2235164
DOI10.1007/s10107-020-01549-3OpenAlexW3048094255MaRDI QIDQ2235164
Publication date: 20 October 2021
Published in: Mathematical Programming. Series A. Series B (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1907.09784
Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Semidefinite programming (90C22) Nonconvex programming, global optimization (90C26) Orthogonal functions and polynomials, general theory of nontrigonometric harmonic analysis (42C05) Toeplitz operators, Hankel operators, Wiener-Hopf operators (47B35)
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Cites Work
- Convergence analysis for Lasserre's measure-based hierarchy of upper bounds for polynomial optimization
- Computing the eigenvalues of symmetric tridiagonal matrices via a Cayley transformation
- Near-optimal analysis of Lasserre's univariate measure-based bounds for multivariate polynomial optimization
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- The inverse of a tridiagonal matrix
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