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Behaviorally Driven Train Timetable Design

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Sparse Inverse Problems Over Measures: Equivalence Of The Conditional Gradient And Exchange Methods

Armin Eftekhari

We study an optimization program over nonnegative Borel measures that encourages sparsity in its solution. Efficient solvers for this program are in increasing demand, as it arises when learning from data generated by a "continuum-of-subspaces" model, a re ...

SIAM PUBLICATIONS2019

Managerial challenges of co-creation and social innovation: the case of Dokk1

Gianluigi Viscusi

Innovation in the public sector is the only possible response to fine-tune welfare services to new and changing demands and overcome policy impasses (Halmos et al., 2019; Misuraca & Colombo, 2016; Misuraca & Viscusi, 2015). According to a growing evidence, ...

2019

DARWIN'S THEATRE / BABL AT WORK

Alexandre Blanc, Marco Bakker

Marco Bakker and Alexandre Blanc established their architectural firm, BABL Bakker & Blanc architectes associés, in Switzerland in 1992. At their offices in Lausanne and Zurich, they develop designs that are modest yet reflect the high demands of the built ...

Park Books2019

Dynamic Learning in Markets: Pricing, Advertising, and Information Acquisition

Thomas Alois Weber

In the face of demand uncertainty, a monopolist can observe sales as a controlled reaction to its price and advertising so as to improve the choice of this marketing mix in the future. Furthermore, to upgrade its knowledge about demand the firm has the opt ...

2019

This paper is a discussion of a recent publication by Sekkal and coworkers, which investigated the elasticity, cohesion, and stability of the C-S-H (001) surface as a function of porosity using molecular dynamics simulations. In our discussion, we highligh ...

Elsevier2017

Introduction to disaggregate demand models

Michel Bierlaire, Virginie Janine Camille Lurkin

Demand information is an input for a great deal of operations research models. Assumed as given in many problem instances addressed in the literature, demand data are difficult to generate. In this tutorial, we provide an introduction to disaggregate deman ...

2017

Performance and reliability are important yet conflicting properties of systems software. Software today often crashes, has security vulnerabilities and data loss, while many techniques that could address such issues remain unused due to performance concer ...

EPFL2017

Train Timetable Design Under Elastic Passenger Demand

Michel Bierlaire, Matthieu Marie Cochon de Lapparent, Shadi Sharif Azadeh, Mohammad Yousef Maknoon, Tomas Robenek

We integrate a probabilistic demand model in the train timetabling problem. We use a logit model that we calibrate to reflect the known demand elasticities. We further include a competing operator as an opt-out option for the passengers. Subsequently, we i ...

2016

Optimal Retail in a Sharing Economy

Thomas Alois Weber

The emerging sharing economy is fueled by products that some consumers buy new. This paper introduces an overlapping-generations model to analyze consumers' consumption choices and the equilibrium in the sharing market. We derive a retailer's optimal prici ...

IEEE Computer Society, Washington, DC2016

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Location-aware data collection technologies provide new insights about location choices. Only a few dynamic models of location choice exist in scientific literature. To our knowledge, none of them correct for serial correlation. In this paper, we model cho ...

University of Leeds2016