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...

Given a complete directed graph \(G\) with weights on the vertices and on the arcs, a \(\theta\)-improper \(k\)-coloring of \(G\) is an assignment of...

The maximum \(k\)-colorable subgraph problem (\(k\)-MCSP) is to color as many vertices as possible with at most \(k\) colors, such that no two adjacent...

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 ...

In this article we consider a real-world problem submitted to us by the Hatch company. This problem consists of designing a collection network for a wind f...

Given a graph \(G=(V,E)\) with a root \(r\in V\), positive capacities \(\{c(e) | e\in E\}\), and non-negative lengths \(\{\ell(e) | e\in E\}\), the m...

Positron emission tomography (PET) image reconstruction in the presence of periodic motion, such as heartbeat and breathing, has been actively investigated ...

In recent years, a growing interest has been observed in research on RNA (ribonucleic acid), primarily due to the discovery of the role of RNA molecules in ...

Variable neighborhood search (VNS) is a framework for building heuristics, based upon systematic changes of neighborhoods both in a descent phase, to find a...

We introduce an iterative algorithm for the solution of the diameter minimization clustering problem (DMCP). Our algorithm is based upon two observations: 1)...

Traditionally, claim counts and amounts are assumed to be independent in non-life insurance. This paper explores how this oft unwarranted assumption can be r...

In order to determine the risk capital for their aggregate portfolio, property and casualty insurance companies must fit a multivariate model to the loss tri...

Two bivariate extensions of the Skellam distribution were proposed by Genest and Mesfioui (2014), who also derived moment estimators for their dependence par...

In this paper we present a novel formulation based on a certain median function to solve discretely constrained mixed complementarity problems (MCPs). Such p...