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Pareto optimum. Constrained Pareto efficiency is a weakening of Pareto optimality, accounting for the fact that a potential planner (e.g., the government)...

terms, optimal experiments can reduce the costs of experimentation. 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. The envelope theorem describes how the value of an optimal solution changes...

simpler subproblems, as Bellman's “principle of optimality" prescribes. It is a necessary condition for optimality. The "value" of a decision problem at a certain...

In mathematical analysis, the maximum and minimum of a function are, respectively, the greatest and least value taken by the function. Known generically...

requiring advance knowledge of the pattern. According to the unproven dynamic optimality conjecture, their performance on all access patterns is within a constant...

between [ ], / / and ⟨ ⟩, see IPA § Brackets and transcription delimiters. Optimality theory (frequently abbreviated OT) is a linguistic model proposing that...

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

are generally divided into two types: static and dynamic. In the static optimality problem, the tree cannot be modified after it has been constructed. In...

are satisfied, the proposed change will move the economy toward Pareto optimality. This idea is known as Kaldor–Hicks efficiency. If the two conditions...

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

Kaldor criterion holds that an activity moves the economy closer to Pareto optimality if the maximum amount the gainers are prepared to pay to the losers to...

In computer science, an algorithm is said to be asymptotically optimal if, roughly speaking, for large inputs it performs at worst a constant factor (independent...

up optimality in Wiktionary, the free dictionary. Optimality may refer to: Mathematical optimization Optimality theory in linguistics Optimality model...

In biology, optimality models are a tool used to evaluate the costs and benefits of different organismal features, traits, and characteristics, including...

In statistics, an optimality criterion provides a measure of the fit of the data to a given hypothesis, to aid in model selection. A model is designated...

Thematic Guide to Optimality Theory is a 2001 book by John McCarthy in which the author provides a theoretical introduction to optimality theory. The book...

Doing Optimality Theory: Applying Theory to Data is a 2008 book by John McCarthy in which the author provides a practical introduction to optimality theory...

Key-independent optimality is a property of some binary search tree data structures in computer science proposed by John Iacono. Suppose that key-value...