A hierarchy of spectral relaxations for polynomial optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Software,Theoretical Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12532-023-00243-7.pdf
Reference56 articles.
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2. Ben-Tal, A., Nemirovski, A.: Lectures on Modern Convex Optimization: Analysis, Algorithms, and Engineering Applications, vol. 2. Siam, Philadelphia (2001)
3. Bihain, A.: Optimization of upper semidifferentiable functions. J. Optim. Theory Appl. 44(4), 545–568 (1984)
4. Burer, S., Monteiro, R.D.: A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization. Math. Program. 95(2), 329–357 (2003)
5. Burke, J.V., Lewis, A.S., Overton, M.L.: A robust gradient sampling algorithm for nonsmooth, nonconvex optimization. SIAM J. Optim. 15(3), 751–779 (2005)
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