minimumát
Minimumát is a theoretical construct used in optimization and decision theory to denote the smallest subset of elements required to guarantee a specified outcome under a given model. The term is a neologism—formed from the word minimum and a suffix used to derive abstract nouns—and is encountered in discussions of minimal representations, pruning, and efficient design. A subset S of a universal set U is a minimumát for a property P with respect to a model M if (1) P holds when inputs are restricted to S, and (2) no proper subset of S satisfies P under M.
Computation and complexity: Finding a minimumát is generally computationally challenging. In many settings the problem is
Applications and examples: In sensor networks, a minimumát would be the smallest set of sensor locations needed
Limitations and related terms: The size and composition of a minimumát depend on the chosen model M,