A semiconcavity-preserving smooth approximation of min-of-smooth functions is shown to converge in C and W^{1,p}, with gradient weights forming a probability distribution.
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Structure Preserving Approximation of Semiconcave Functions
A semiconcavity-preserving smooth approximation of min-of-smooth functions is shown to converge in C and W^{1,p}, with gradient weights forming a probability distribution.