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  • adj

Synonyms for optimal

surpassing all others in quality

Synonyms for optimal

most desirable possible under a restriction expressed or implied


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References in periodicals archive ?
In that case, Pareto optimality is not socially optimal at all.
Frid (2001) gives an introduction to how lexical word stress in Swedish can be analyzed within Metrical Phonology and Optimality Theory.
Keywords: Discrete minmax fractional programming, (ph, , o, p, p, th, m)-invex functions, necessary optimality conditions, sufficient optimality conditions.
Thus, such a method resides in solving the n + m equation system that is made of Karush-Kuhn-Tucker optimality conditions:
Optimality Theory was used to explain the cognitive process of the observed stress patterns.
In [27] Zhou developed necessary conditions of optimality (maximum principle) for a class of linear non-degenerate (strictly elliptic) second order partial differential equations on a d-dimensional space with all the coefficients containing control.
15) Pareto optimality is achieved when no Pareto-superior moves are available, considering all possible alternative allocations.
He begins by setting out the theoretical foundations of optimality conditions, the convex optimization problem, and Karuch-Kuhn-Tucher conditions and duality.
Antczak: Optimality and duality for nonsmooth multiobjective programming problems with V-rinvexity, J.
11] derived Fritz John and Karush-Kuhn Tucker necessary and sufficient optimality condition for a class of nondifferentiable convex multiobjective fractional programming problems and established some duality theorems.
The maternal psychiatric optimality index in combination with child temperament characteristics contributed uniquely to stress in the parent domain, while stress in the child domain was significantly associated only with child temperament characteristics.
The literature on the topic gathered momentum, first introducing further optimality criteria (McKinnon 1963; Kenen 1969) and, after a long pause, incorporating the principles of the New Classical Macroeconomics, which provided the theoretical underpinning to the political objective of European monetary unification.
Despite the inherent complexity, decision-theoretic frameworks such as POMDPs offer a principled and theoretically sound formalism for decision making under uncertainty with guarantees of optimality of the solution, which makes them an appealing choice for extending to multiagent settings.
Finally, the solution of the multi-criteria optimization problem was obtained by applying the concept of Pareto optimality and the methodology introduced by the authors in [8,9].