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A hierarchy of spectral relaxations for polynomial optimization.

, , and . Math. Program. Comput., 15 (4): 651-701 (December 2023)

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Optimal Data Fitting: A Moment Approach., and . SIAM J. Optimization, 28 (4): 3127-3144 (2018)A hierarchy of spectral relaxations for polynomial optimization., , and . Math. Program. Comput., 15 (4): 651-701 (December 2023)Minimizing Rational Functions: A Hierarchy of Approximations via Pushforward Measures., , , and . SIAM J. Optim., 31 (3): 2285-2306 (2021)TSSOS: A Moment-SOS Hierarchy That Exploits Term Sparsity., , and . SIAM J. Optim., 31 (1): 30-58 (2021)Sum of Squares Decompositions of Polynomials over their Gradient Ideals with Rational Coefficients., , and . CoRR, (2021)Stability Analysis of Recurrent Neural Networks by IQC with Copositive Mutipliers., , , , , and . CDC, page 5098-5103. IEEE, (2021)SparseJSR: A Fast Algorithm to Compute Joint Spectral Radius via Sparse SOS Decompositions., , and . ACC, page 2254-2259. IEEE, (2021)L2+ Induced Norm Analysis of Continuous-Time LTI Systems Using Positive Filters and Copositive Programming., , , , , , and . ECC, page 1385-1390. IEEE, (2022)Sparse noncommutative polynomial optimization., , and . Math. Program., 193 (2): 789-829 (2022)Algorithms for weighted sum of squares decomposition of non-negative univariate polynomials., , and . J. Symb. Comput., (2019)