This monograph presents a comprehensive treatment of the maximum-entropy sampling problem (MESP), which is a fascinating topic at the intersection of mathematical optimization and data science.
Overview.- Notation.- The problem and basic properties.- Branch-and-bound.- Upper bounds.- Environmental monitoring.- Opportunities.- Basic formulae and inequalities.- References.- Index.