Organizations with hierarchical structures are easily graphed and defined. Often described as "tree structures," they are unambiguous and relatively permanent organizational models, in which each ...

The matrix-variate normal distribution is a popular model for high-dimensional transposable data because it decomposes the dependence structure of the random matrix into the Kronecker product of two ...

Linear complementarity problems (LCPs) constitute a salient class of mathematical models wherein one seeks vectors that fulfil mutually exclusive non-negativity and orthogonality conditions relative ...

Matrix polynomials and moment problems are significant areas of study in mathematics, particularly in the fields of control theory, numerical analysis, and probability. Matrix polynomials are ...

The best way to organize a business depends on the requirements of the markets in which it operates. A multidivisional structure, although often associated with large enterprises, can be beneficial ...

Metapopulation models assume that local population size (in a habitat patch) and therefore local extinction probability, is a function of patch size, and that interpatch movement rate and therefore ...