optimality
81Cooperative 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… …
82Evolutionary physiology — is the study of physiological evolution, which is to say, the manner in which the functional characteristics of individuals in a population of organisms have responded to selection across multiple generations during the history of the… …
83Implementation theory — is an area of game theory closely related to mechanism design where an attempt is made to add into a game a mechanism such that the equilibrium of the game conforms to some concept of social optimality (for instance Pareto optimality). In a game… …
84Triangulation (computer vision) — In computer vision triangulation refers to the process of determining a point in 3D space given its projections onto two, or more, images. In order to solve this problem it is necessary to know the parameters of the camera projection function… …
85Gauss pseudospectral method — The Gauss Pseudospectral Method (abbreviated GPM ) is a direct transcription method for discretizing a continuous optimal control problem into a nonlinear program (NLP). The Gauss pseudospectral method differs from several other pseudospectral… …
86Time utility function — Time/utility functions were introduced by E. Douglas Jensen in 1977 as a way to overcome the limited expressiveness in classic deadline constraints in real time systems. Time/utility function time constraints (or TUFs) and utility accrual (UA)… …
87Vector 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… …
88Odds algorithm — The odds algorithm is a mathematical method for computing optimal strategies for a class of problems that belong to the domain of optimal stopping problems. Their solution follows from the odds strategy, and the importance of the odds strategy… …
89Orthogonality principle — In statistics and signal processing, the orthogonality principle is a necessary and sufficient condition for the optimality of a Bayesian estimator. Loosely stated, the orthogonality principle says that the error vector of the optimal estimator… …
90Mathematical economics — Economics …
