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How does the domain reduction in SRSM work for discrete variables?

Discrete optimization uses SRSM with special modifications to the region of interest for discrete variables.

Discrete optimization introduces the concern that a discrete variable value may not be on the edge of the
subregion selected by the SRSM algorithm. The SRSM algorithm was therefore modified to use closest
discrete values outside the subregion. This implies that the subregion cannot be smaller than the distance
between two successive discrete values.