Concept

Cumulative distribution function

Related publications (276)

Distributed Learning for Stochastic Generalized Nash Equilibrium Problems

This paper examines a stochastic formulation of the generalized Nash equilibrium problem where agents are subject to randomness in the environment of unknown statistical distribution. We focus on fully distributed online learning by agents and employ penal ...

IEEE2017

Development of a methodology for extreme flood estimations in alpine catchments for the verification of dam safety

Fränz Zeimetz

Dams are critical infrastructures which may be endangered by natural hazards as extreme foods. The water release structures especially the spillways must be designed in such a way that they can ensure the safe passage of extreme floods. Uncontrolled overto ...

EPFL-LCH2017

Dimensional stability analysis of a UV printed polymer microstructure for a novel glazing system

Yves Leterrier, Andreas Schueler, André Gabriel Kostro, Jing Gong, Frank Meyer

The dimensional stability of a UV printed polymer microstructure for a novel glazing system for seasonal regulation and daylighting based on a periodic array of parabolic micro-mirrors is investigated. The objectives of the work are: i) to analyze the dime ...

Elsevier2017

Synthetic neutron camera and spectrometer in JET based on AFSI- ASCOT simulations

Henri Weisen

The ASCOT Fusion Source Integrator (AFSI) has been used to calculate neutron production rates and spectra corresponding to the JET 19-channel neutron camera (KN3) and the time-of-flight spectrometer (TOFOR) as ideal diagnostics, without detector-related ef ...

Iop Publishing Ltd2017

A general framework for routing problems with stochastic demands

Michel Bierlaire, Sacha Varone, Mohammad Yousef Maknoon, Iliya Dimitrov Markov

We introduce a unified modeling and solution framework for various classes of rich vehicle and inventory routing problems as well as other probability-based routing problems with a time-horizon dimension. Demand is assumed to be stochastic and non-stationa ...

2017

A simulation framework for humeral head translations

Dominique Pioletti, Alexandre Terrier, Alain Farron, Philippe Müllhaupt, Ehsan Sarshari

Humeral head translations (HHT) play a crucial role in the glenohumeral (GH) joint function. The available shoulder musculoskeletal models developed based on inverse dynamics however fall short of predicting the HHT. This study aims at developing a simulat ...

Elsevier2017

Updated braking forces for the assessment of road bridges

João Miguel De Oliveira Durães Alves Martins

Safety assessments of road bridges to braking events combine the braking force, acting along the longitudinal axis of the deck, with a vertical load that accounts for the vertical component of the traffic action. In modern design standards the vertical loa ...

EPFL2016

Adaptive learning for stochastic generalized Nash equilibrium problems

Ali H. Sayed

This work examines a stochastic formulation of the generalized Nash equilibrium problem (GNEP) where agents are subject to randomness in the environment of unknown statistical distribution. Three stochastic gradient strategies are developed by relying on a ...

IEEE2016

Numerical characterization of bump formation in the runaway electron tail

Joan Decker

Runaway electrons are generated in a magnetized plasma when the parallel electric field exceeds a critical value. For such electrons with energies typically reaching tens of MeV, the AbrahamâLorentzâDirac (ALD) radiation force, in reaction to the synch ...

Iop Publishing Ltd2016

Entrainment,motion, and deposition of coarse particles transported by water over a sloping mobile bed

Christophe Ancey, Joris Heyman

In gravel bed rivers, bed load transport exhibits considerable variability in time and space. Recently, stochastic bed load transport theories have been developed to address the mechanisms and effects of bed load transport fluctuations. Stochastic models i ...

Wiley-Blackwell2016

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.