# Brigitte Jaumard

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## Cahiers du GERAD

### 164 results — page 6 of 9

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

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We propose a new exact algorithm for the convex-quadratic bilevel programming problem, i.e, for problems with convex objective function and convex constrain...

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Consider an assignment problem in which persons are qualified for some but usually not all of the jobs. Moreover, assume persons belong to given seniority c...

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

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

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We study the generalization of Piyavskii's algorithm (1972), proposed by Mladineo (1986), for the global optimization of multivariate Lipschitz functions. I...

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

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We present a method to compute valid concavity cuts for the linear maxmin programming problem. We consider a primal and a dual approach. In both cases the p...

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A new paradigm for cluster analysis is outlined. It is called Sequential Clustering. Given a set <i>O</i> of <i>N</i> entities a best cluster of <i>K</i> ...

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Le problème de la satisfaisabilité probabiliste (PSAT) consiste à déterminer, étant donné les probabilités de <i>m</i> événements (ou propositions logiques...

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An <i>O</i> (<i>mn</i> log <i>n</i>) labeling algorithm is proposed for minimum sum of diameters bipartitioning of the vertex set of a weighted graph (with ...

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Consider a set of logical sentences together with probabilities that they are true. These probabilities must satisfy certain conditions for this system to b...

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The product positioning problem consists in choosing the attributes of a new product in such a way as to maximize its market share, i.e., to attract a maxi...

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Lipschitz optimization solves global optimization problems in which the objective function and constraint left-hand sides may be given by oracles (or explic...

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Much work has been devoted to the problem of finding maximum likelihood estimators for the three-parameter Weibull distribution. This problem has not been c...

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Three main mathematical programming approaches have been followed to design exact algorithms for partitioning problems in cluster analysis, cutting-planes, ...

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Dendrograms are widely used to represent graphically the clusters and partitions obtained with hierarchical clustering schemes. Espaliers are generalized de...

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The minimum sum-of-stars (or <i>p</i>-median, or <i>p</i>-medianoïd) clustering problem consists in partitioning a given set of entities into <i>P</i> clust...

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We propose a new branch-and-bound algorithm for the Satisfiability problem (SAT). A relaxation as well as a decomposition scheme are defined by using polyno...

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A linear algorithm is proposed for a particular case of the satisfiability problem which strictly includes nested satisfiability. Recognition of this case c...

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