global optimality

См. также в других словарях:

• Cooperative optimization — is a global optimization method invented by chinese mathematician Xiao Fei Huang, that can solve real world NP hard optimization problems (up to millions of variables) with outstanding performances and unprecedented speeds. It knows whether a… …   Wikipedia

• Karush–Kuhn–Tucker conditions — In mathematics, the Karush–Kuhn–Tucker (KKT) conditions (also known as the Kuhn–Tucker conditions) are necessary for a solution in nonlinear programming to be optimal, provided that some regularity conditions are satisfied. Allowing inequality… …   Wikipedia

• Vector Field Histogram — In robotics, Vector Field Histogram (VFH) is a real time motion planning algorithm proposed by Johann Borenstein and Yoram Koren in 1991.cite journal author = Borenstein, J. coauthors = Koren, Y. year = 1991 title = The vector field histogram… …   Wikipedia

• Stochastic Diffusion Search — (SDS), was first described in 1989 as a population based, pattern matching algorithm [Bishop, 1989] . It belongs to a family of Swarm Intelligence and naturally inspired search and optimisation algorithms which includes Ant Colony Optimization,… …   Wikipedia

• Mathematical optimization — For other uses, see Optimization (disambiguation). The maximum of a paraboloid (red dot) In mathematics, computational science, or management science, mathematical optimization (alternatively, optimization or mathematical programming) refers to… …   Wikipedia

• Optimal design — This article is about the topic in the design of experiments. For the topic in optimal control theory, see shape optimization. Gustav Elfving developed the optimal design of experiments, and so minimized surveyors need for theodolite measurements …   Wikipedia

• Info-gap decision theory — is a non probabilistic decision theory that seeks to optimize robustness to failure – or opportuneness for windfall – under severe uncertainty,[1][2] in particular applying sensitivity analysis of the stability radius type[3] to perturbations in… …   Wikipedia

• Conditions d'optimalité (dimension finie) — En optimisation mathématique, les conditions d optimalité sont un ensemble d équations, d inéquations (i.e., des inégalités) et d expressions diverses (e.g., la semi définie positivité de matrices sur des cônes) vérifiées par une solution d un… …   Wikipédia en Français

• Non-convexity (economics) — In economics, non convexity refers to violations of the convexity assumptions of elementary economics. Basic economics textbooks concentrate on consumers with convex preferences (that do not prefer extremes to in between values) and convex budget …   Wikipedia

• Optimal substructure — Figure 1. Finding the shortest path using optimal substructure. Numbers represent the length of the path; straight lines indicate single edges, wavy lines indicate shortest paths, i.e., there might be other vertices that are not shown here. In… …   Wikipedia

• Multidisciplinary design optimization — Multi disciplinary design optimization (MDO) is a field of engineering that uses optimization methods to solve design problems incorporating a number of disciplines. As defined by Prof. Carlo Poloni, MDO is the art of finding the best compromise …   Wikipedia