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Mostrando ítems 1-10 de 35
Artículo
Analysis of an aggregate loss model in a Markov renewal regime
(ELSEVIER SCIENCE INC, 2020-12-22)
In this article we consider an aggregate loss model with dependent losses. The loss oc- currence process is governed by a two-state Markovian arrival process ( MAP 2 ), a Markov renewal process that allows for (1) correlated ...
Tesis Doctoral
Enhancing robustness and sparsity via mathematical optimization
(2016-09-22)
Esta tesis se centra en derivar métodos robustos o dispersos bajo la perspectiva de la optimización para problemas que tradicionalmente se engloban en los campos de la Estadística o de la Investigación Operativa. Concretamente, ...
Artículo
Continuous optimisation techniques for optimal aiming strategies in solar power tower plants
(PERGAMON-ELSEVIER SCIENCE LTD, 2019-01-01)
Optimising the aiming strategy is crucial for Solar Power Tower plants, in order to maximise the energy generated, whilst also preventing catastrophic damage to receiver components. In this work, a bi-objective ...
Artículo
On sparse optimal regression trees
(Elsevier, 2021-12-18)
In this paper, we model an optimal regression tree through a continuous optimization problem, where a compromise between prediction accuracy and both types of sparsity, namely local and global, is sought. Our approach can ...
Artículo
A global optimisation approach for parameter estimation of a mixture of double Pareto lognormal and lognormal distributions
(PERGAMON-ELSEVIER SCIENCE LTD, 2013-10-30)
The double Pareto Lognormal(dPlN) statistical distribution, defined interms of both an exponentiated skewed Laplace distribution and alog normal distribution, has proven suitable for fitting heavy tailed data. In this ...
Tesis Doctoral
Optimization models in solar power tower plant design. Design of the heliostat field and the tower receivers
(2016-01-08)
El diseño de plantas solares con tecnología de torre (utilizaremos las siglas en inglés SPT) comenzó a ser estudiado en los años 70 y sigue siendo hoy en día un área de investigación muy activa. En esta tesis doctoral se ...
Artículo
Spotting Key Members in Networks: Clustering-Embedded Eigenvector Centrality
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020-11-03)
Identifying key members in a social network is critical to understand the underlying system behavior. Whereas there are several measures designed to discern the most central member, they fail to identify a central set of ...
Artículo
On Building Online Visualization Maps for News Data Streams by Means of Mathematical Optimization
(Mary Ann Liebert, INC, 2018-06-01)
In this article we develop a novel online framework to visualize news data over a time horizon. First, we perform a Natural Language Processing analysis, wherein the words are extracted, and their attributes, namely the ...
Artículo
Visualization of complex dynamic datasets by means of mathematical optimization
(PERGAMON-ELSEVIER SCIENCE LTD, 2019-07-01)
In this paper we propose an optimization model and a solution approach to visualize datasets which are made up of individuals observed along different time periods. These individuals have attached a time-dependent magnitude ...
Artículo
On Extreme Concentrations in Chemical Reaction Networks with Incomplete Measurements
(ACS, 2016-11-09)
A fundamental problem in the analysis of chemical reactions networks consists of identifying concentration values along time or in steady state which are coherent with the experimental concentration data available. When ...