This paper presents a family of probabilistic latent variable models that can be used for analysis of nonnegative data. We show that there are strong ties between nonnegative matrix factorization and this family, and provide some straightforward extensions which can help in dealing with shift invariances, higher-order decompositions and sparsity constraints. We argue through these extensions th...

The paper aims to carry out a spatial analysis of the changes in selected demographic characteristics Cres-Lošinj area using GIS model. For this purpose, data from all censuses carried so far (1857−2021) were used, which primarily analyzed cartographically by Mean Center and Standard Deviational Ellipse (Directional Distribution) methods, are an integral part basic software package ArcGIS Deskt...

extended abstract 1-introduction in recent years, the criminological community has witnessed a resurgence of interest in strain theory. “traditional strain theory (1955, 1960, 1970) posits that individuals are pressured into crime when they are prevented from achieving cultural goals like monetary success or middleclass status through legitimate means. this goal blockage may pressure some to pu...

The problem addressed in this paper is related to an aerospace company seeking to change its outsourcing strategies in order to meet the expected demand increase and customer satisfaction requirements regarding delivery dates and amounts. A bilinear goal programming model is developed to achieve the company’s objectives. A modified Benders decomposition method is successfully applied to handle ...

Gaseous flow through ultra-tight porous media, e.g. shale and some high-performance insulation materials, is often rarefied, invalidating an analysis by the continuum theory. Such rarefied flows can be accurately described kinetic theory of gases which utilizes Boltzmann equation its simplified models. While discrete velocity methods have been successful in directly solving these equations, imm...