Figure 1 - available via license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
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illustrate how the function c k concatenates the constant functions at the ends of interval [0, 1] to make the piese-wise polynomial function as smooth as possible.
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We introduce a S.O.S hierarchy of lower bounds for a polynomial optimization problem whose constraint is expressed as a matrix polynomial semidefinite condition. Our approach involves utilizing a penalty function framework to directly address the matrix-based constraint, making it applicable to both discrete and continuous polynomial optimization p...
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