Évènements

Séminaire DEVI – Cherie Lu (Chang Jung Christian University, Tainan, Taiwan)

21/11/2019 @ 10h30 – 11h30 – When will biofuels be economically feasible for commercial flights? Abstract This paper evaluates the financial outlays and environmental costs of using biofuel and traditional aviation fuel for selected flight routes. Cost-benefit analysis and the dose-response method were applied for evaluating the financial and environmental costs of both biofuels and traditional fuel. Selected flight routes originating […]

Séminaire DEVI – Cherie Lu (Chang Jung Christian University, Tainan, Taiwan)

21/11/2019 @ 10h30 – 11h30 – When will biofuels be economically feasible for commercial flights? Abstract This paper evaluates the financial outlays and environmental costs of using biofuel and traditional aviation fuel for selected flight routes. Cost-benefit analysis and the dose-response method were applied for evaluating the financial and environmental costs of both biofuels and traditional fuel. Selected flight routes originating […]

Séminaire DEVI – Agnès Lagnoux (IMT Toulouse)

24/10/2019 @ 10h30 – 11h30 – Sur l’estimation de paramètres de covariance de processus gaussiens Résumé : En raison de leur simplicité et de leur flexibilité permettant ainsi de modéliser une large classe de modèles, les processus gaussiens sont devenus très populaires depuis quelques années et largement utilisés en statistique spatiale afin d’interpoler les observations et proposer un métamodèle (de krigeage […]

DEVI Seminar- Agnès Lagnoux (IMT Toulouse)

24/10/2019 @ 10h30 – 11h30 – On the Estimation of Covariance Parameters of Gaussian Processes Summary: Because of their simplicity and flexibility, which make it possible to encapsulate a large class of models, Gaussian processes have become very popular in recent years, and are widely used in spatial statistics to interpolate observations and propose meta-models (for example, in kriging). Gaussian processes […]

DEVI Seminar – Willy Rodríguez (ENAC)

10/10/2019 @ 10h30 – 11h30 – Mathematical models for the evolution of species in the era of genetic data Abstract: One of the aims of population genetics is to date and quantify major events that arrived during the evolution of species. The DNA sequencing techniques and the increasing amount of genomic data currently available are expanding the horizons of the field. Over the last […]

Séminaire DEVI – Willy Rodríguez (ENAC)

10/10/2019 @ 10h30 – 11h30 – Mathematical models for the evolution of species in the era of genetic data Abstract: One of the aims of population genetics is to date and quantify major events that arrived during the evolution of species. The DNA sequencing techniques and the increasing amount of genomic data currently available are expanding the horizons of the field. Over the last decade, a […]

Séminaire DEVI – Claudio Piga (Huddersfield University Business School)

26/09/2019 @ 10h30 – 11h30 – Linking Algorithms to Static and Dynamic pricing: theory and evidence Abstract: We show how the main features of a pricing algorithm  are shaped by organizational frictions, which impede continuous  price adjustments. In our theoretical multi-unit capacity, multi-period pricing model, frictions lead the algorithm to set prices for each unit, which remain constant during a « static pricing […]

DEVI Seminar – Claudio Piga (Huddersfield University Business School)

26/09/2019 @ 10h30 – 11h30 – Linking Algorithms to Static and Dynamic pricing: theory and evidence Abstract: We show how the main features of a pricing algorithm  are shaped by organizational frictions, which impede continuous  price adjustments. In our theoretical multi-unit capacity, multi-period pricing model, frictions lead the algorithm to set prices for each unit, which remain constant during a « static pricing […]

Séminaire DEVI – Tat-Dat Tô

12/09/2019 @ 10h30 – 11h30 – A deep learning approach for the shortest path search problem and some perspective applications. We propose a deep learning approach for shortest path search problem in which the shortest length can be learned via a deep Neuron Network. We also propose an algorithm which permit to run the A-star algorithm in real time for the […]