Mathias Oster

S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization

Global polynomial optimization is an important tool across applied mathematics, with many applications in operations research, engineering, and the physical sciences. In various settings, the polynomials depend on external parameters that may be random. We discuss a stochastic sum-of-squares (S-SOS)…