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

Canada was a proactive participant in developing the Paris Accord (COP 21; December, 2015), and committed to reduce its greenhouse gas (GHG) emissions by 30%...

Let \({\mathcal D(G)}\), \({\mathcal D}^L(G)={\mathcal Diag(Tr)} - {\mathcal D(G)}\) and \({\mathcal D}^Q(G)={\mathcal Diag(Tr)} + {\mathcal D(G)}\) b...

Let \(G\) be a graph of order \(n\). The energy \(\mathcal{E}(G)\) of a simple graph \(G\) is the sum of absolute values of the eigenvalues of its ...

As more and more data about mining complex operations is collected and stored, it becomes increasingly important for computer systems to help human operators...

Despite the lack of theoretical and practical convergence support, the Nelder-Mead (NM) algorithm is widely used to solve unconstrained optimization proble...

The mining value chain comprises many inter-related components, from mines to transportation, to customers. When the individual components are optimized sep...

We analyze the effect of non-constant discounting on economic growth and social welfare in an endogenous growth model with pollution externalities. For ti...

Climate change is one of the greatest environmental challenges facing our planet in the foreseeable future, yet, despite international environmental agreemen...

This note revisits the problem of how to select an equilibrium in a differential game in the case of multiplicity of Nash equilibria. Most of the previous ap...

Let \(\gamma(G)\) and \(\iota(G)\) be the domination and independent domination numbers of a graph \(G\), respectively. In this paper, we define the ...

In this paper, we focus on the problem that has been described in the second international nurse rostering competition: a personalized nurse scheduling prob...

In this paper, we describe an algorithm for the personalized nurse scheduling problem. We focus on the deterministic counterpart of the specific problem t...

We consider the solution of derivative-free optimization problems with continuous, integer, discrete and categorical variables in the context of costly black...

Distance measures play an important role in data analysis, mainly for clustering purpose, but also for data representation (for instance using multidimension...

We study the lattice structure of random number generators of the MIXMAX family, a class of matrix linear congruential generators that produce a vector of...

The search neutrality debate is about whether search engines should or should not be allowed to uprank certain results among the organic content matching a...

This study presents a production scheduling optimization method for a mining complex, which provides a flexible long-term plan for future investments and ope...

Partially observed major minor LQG mean field game theory is applied to an optimal execution problem in finance; following standard financial models, control...

In Positron Emission Tomography (PET), deep crystals (>20 mm) must be used to enhance detection efficiency and increase overall scanner sensitivity. Howeve...