Find the minimum and maximum of a vectorCarlisle Rainey
Vector quantization for minimum error probability - Diamantini, Spalvieri - 1994C. Diamantini and A. Spalvieri. Vector quantization for minimum error probabil- ity. In Proceedings of the International Conference on Arti cial Neural Networks, ICANN94, volume II, pages 1091-1094, Sorrento, Italy,...
The choice of random matrices is also in order to make our conclusion having the universality, since random matrices cover all the possibilities in principle. At least for this kind of matrices, we have found a strong correlation between the eigenvector of the minimum eigenvalue (EME) and the...
Let X be a normed vector space, let C be a subset of X and let Pc(z) denote the set of projections of a point zX onto CAssume that C is proximinal, that is, for all zXPc(z) is nonempty. C will be called unified if zX, and C imply . In the context of estimation, is an...
Minimum elements fromAorB, returned as a scalar, vector, matrix, multidimensional array, table, or timetable. The size ofCis determined by implicit expansion of the dimensions ofAandB. For more information, seeCompatible Array Sizes for Basic Operations. ...
To perform this filtering most efficiently, write your objective function in a vectorized fashion. For information, seeWrite a Vectorized FunctionorVectorize the Objective and Constraint Functions. The following function handle computes a vector of objectives based on an input matrix whose rows represent...
This paper proposed a robust Hotelling T2 control chart for individual observations based on minimum vector variance (MVV) estimators as an alternative to the traditional multivariate T2 control chart for Phase II data. MVV is a new robust estimator which possesses the good properties as in minimum...
M = min(DMObj1) returns the minimum value(s) in DMObj1, a DataMatrix object. If DMObj1 contains a vector of data, M is a scalar. If DMObj1 contains a matrix of data, M is a row vector containing a minimum value in each column. [M, Indices] = min(DMObj1) returns Indices,...
where gip is a unit base vector in the Σp coordinate system. From Eq. (6.15) the unit vector ghyd will possess equal angles with each of the coordinate axes. That is, its direction cosines are ghyd⋅gi=1/3,i=1,2,3. Additional conclusions to be reached regarding the position of a...
In that literature, the principal constructs an incentive scheme Minimum variance optimal risk adjustment (MVORA) For a given per person budget b and a set X of risk adjusters, Minimum Variance Optimal Risk Adjustment (MVORA) is a vector of risk adjustment weights β∗=(β1∗,…,βJ...