This paper describes the operational airline crew scheduling problem and represents a first published attempt to solve it. This problem consists of modifyin...

Given a set of entities, Cluster Analysis aims at finding subsets, called clusters, which are homogeneous and/or well separated. As many types of clusterin...

We study both the continuous and discrete problems of maximizing the product of two linear functions subject to all variables being between 0 and~1. We fir...

It is shown that the anytime deduction procedure for probabilistic entailment of Frisch and Haddawy does not have the correctness property when the probabil...

Clustering with a criterion which minimizes the sum of squared distances to cluster centroids is usually done in a heuristic way. An exact polynomial algori...

Two new path problems in graphs are studied: MINRANGE, i.e., find a path from a vertex <i>s</i> to a vertex <i>t</i> with the smallest possible range of a...

The multi-depot vehicle scheduling problem with time windows consists of scheduling a fleet of vehicles to cover a set of tasks at minimum cost. Each task i...

This paper presents an optimal dynamic programming algorithm, the first such algorithm in the literature to solve the shortest path problem with time window...

We give lower and upper bounds for the number of reducible ears as well as upper bounds for the number of perfect matchings in an elementary bipartite graph...

A mixed graph <i>G_{<img src="theta.gif">}</i> contains both undirected edges and directed arcs. A <i>k</i>-coloring of <i>G<sub><img src="theta.g...

The <i>p</i>-maxisum dispersion problem consists of locating <i>p</i> facilities at vertices of a network in order to maximize the sum of the distances betw...

Splitting a tree is defined as removing all edges of a chain and disconnecting one from the other edges incident with that chain. Splitting a forest is simu...

Cluster Analysis is at the crossroad of many disciplines, and has numerous and diverse methods and applications. Mathematical Programming (together with gra...

Global optimization methods aim at finding the global optimum of a nonlinear and nonconvex function subject to nonlinear and nonconvex constraints. The main...

An overview is given, with new results, of mathematical models and algorithms for probabilistic logic, probabilistic entailment and various extensions. Anal...

Given a set of logical sentences together with probabilities that these sentences are true, the probabilistic satisfiability (PSAT) problem consists, in it...

A count of Kekulé structures for all 1812 distinct fullerene isomers of C₆₀ shows that 20 isomers surpass the count of 12500 for icosahedral C<su...

We give a new formulation to the multiple-depot vehicle scheduling problem as a set partitioning problem with side constraints, whose continuous relaxation ...

In this paper we develop a stochastic, dynamic network equilibrium model of airline passenger transportation. The model explicitly incorporates the behavior...

CREW-OPT is a new software module in the HASTUS family of scheduling software. CREW-OPT produces optimal or near-optimal crew schedules for small problems (...