optimality's Usage Examples:

Pareto efficiency or Pareto optimality is a situation where no individual or preference criterion can be better off without making at least one individual.

The optimality of a design depends on the statistical model and is assessed with respect.

second-order conditions as well is sufficient to establish at least local optimality.

Bellman, is a necessary condition for optimality associated with the mathematical optimization method known as dynamic.

Cost efficiency (or cost optimality), in the context of parallel computer algorithms, refers to a measure of how effectively parallel computing can be.

In the static optimality problem, the tree cannot be modified after it has been constructed.

are satisfied, the proposed change will move the economy toward Pareto optimality.

conditions are also sufficient for optimality.

In general, the necessary conditions are not sufficient for optimality and additional information is required.

search method needs to be modified to continue the search beyond local optimality; see for example iterated local search, tabu search, reactive search optimization.

razor, a problem-solving principle Maximum parsimony (phylogenetics), an optimality criterion in phylogenetics Parsimony Press, a fine press brand ran by.

or more optimality conditions cannot be satisfied.

The economists Richard Lipsey and Kelvin Lancaster showed in 1956, that if one optimality condition.

This is achieved by trading optimality, completeness, accuracy, or precision for speed.

Building the tree from the bottom up guaranteed optimality, unlike the top-down approach of Shannon–Fano coding.

admissible heuristic can ensure optimality.

However, note that although an admissible heuristic can guarantee final optimality, it is not necessarily efficient.