Relatively recent techniques for categorical simulations are based on multi-point statistical approaches where a training image is used to derive complex spa...

En tomographie par émission de positron (PET), des cristaux longs (>20 mm) doivent être utilisés pour augmenter l'efficacité de détection et la sensibilité d...

Global optimization problems are very hard to solve, especially when the nonlinear constraints are highly nonconvex, which can result in a large number of di...

Dans cet article, nous résolvons le problème de réplication optimale en temps discret lorsque les rendements d'actifs suivent un modèle auto-régressif multiv...

Dans cet article, nous présentons d'abord une analyse des outils statistiques qui peuvent être utilisés dans la gestion des actifs soit pour reproduire des i...

The bid construction problem (BCP) for combinatorial total truckload transportation service procurement auctions consists of determining one or several bids ...

We consider the problems of determining the metric dimension and the minimum cardinality of doubly resolving sets in \(n\)-cubes. Most heuristics develope...

We consider the multivariate linear model for multilevel data where units are nested within a hierarchy of clusters. We propose permutation procedures to te...

In this study, the problem environment consists of two fast fashion retailing firms where one can obtain the other's selling data from an outside agent. The ...

Récemment, deux approches différentes basées sur la fonction copule ont été proposées pour estimer la fonction des quantiles conditionnels d'une variable `...

This paper analyzes the effects of geological heterogeneity representation in a producing reservoir, when different stochastic simulation methods are used, s...

For pattern-based simulation methods such as SIMPAT, filtersim, wavesim, ect, patterns are stored by scanning a training image with a sliding template. Dimen...

Étant donné un graphe \(G\) complet, orienté, avec des poids sur les sommets et les arcs, une \(k\)-coloration \(\theta\)-impropre de \(G\) est une...

Le problème de la détermination du plus grand sous-graphe \(k\)-colorable (\(k\)-MCSP) consiste à colorer autant de sommets que possible avec au plus `...

Clustering addresses the problem of finding homogeneous and well-separated subsets, called clusters, from a set of given data points. In addition to the poi...

The \(k\)-means is a benchmark algorithm used in cluster analysis. It belongs to the large category of heuristics based on location-allocation steps that ...

The balanced clustering problem consists of partitioning a set of \(n\) objects into \(K\) equal-sized clusters as long as \(n\) is a multiple of `(K...

We propose the option realized variance as a new observable covariate that integrates high frequency option prices in the inference of option pricing models....

Security prices are important inputs for estimating credit risk models. Yet, to obtain an accurate firm-specific credit risk assessment, one needs a reliable...

In this paper we propose a new variant of the Variable Neighborhood Decomposition Search (VNDS) heuristic for solving global optimization problems and apply ...