printable pdf
比利时vs摩洛哥足彩 ,
university of california san diego

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math 278c: optimization and data science

prof. suhan zhong

taxus a&m university

chance constrained optimization with polynomial perturbation

abstract:

we study a robust approximation method for solving a class of chance constrained optimization problems. the constraints are assumed to be  polynomial in the random vector. a semidefinite relaxation algorithm is proposed for solving this kind of problem. its asymptotic and finite convergence are proven under some mild assumptions.

host: jiawang nie

may 24, 2023

3:00 pm

apm 7321

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