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Dîner des philosophes

Publications associées (24)

Streaming Principal Component Analysis From Incomplete Data

Linear subspace models are pervasive in computational sciences and particularly used for large datasets which are often incomplete due to privacy issues or sampling constraints. Therefore, a critical problem is developing an efficient algorithm for detecti ...

MICROTOME PUBL2019

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H-infinity Performance

Alireza Karimi, Achille Nicoletti

Recently, a new data-driven method for robust control with H-infinity performance has been proposed. This method is based on convex optimization and converges to the optimal performance when the controller order increases. However, for low-order controller ...

IEEE2018

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H∞ Performance

Alireza Karimi, Achille Nicoletti

Recently, a new data-driven method for robust control with H∞ performance has been proposed. This method is based on convex optimization and converges to the optimal performance when the controller order increases. However, for low-order controllers, the p ...

Elsevier2018

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H∞ Performance

Alireza Karimi, Achille Nicoletti

Recently, a new data-driven method for robust control with H ∞ performance has been proposed. This method is based on convex optimization and converges to the optimal performance when the controller order increases. However, for low-order controllers, the ...

2018

Interactive optimization for supporting multicriteria decisions in urban and energy system planning

Sébastien Cajot

Climate change and growing urban populations are increasingly putting pressure on cities to reduce their carbon emissions and transition towards efficient and renewable energy systems. This challenges in particular urban planners, who are expected to integ ...

EPFL2018

Constraint-Flow Nets: A Model for Building Constraints from Resource Dependencies

Simon Bliudze, Alena Simalatsar, Alina Zolotukhina

The major research in the resource management literature focuses primarily on two complementary sub-problems: (1) specification languages for formulating resource requests and (2) constraint problems modelling allocation and scheduling. Both directions ass ...

Springer International Publishing2017

MOOLs for MOOCs: A first edX scalable implementation

Denis Gillet, Christophe Salzmann, Yves Henri Philippe Piguet

Deploying remote laboratories at a large scale is the next challenge in remote experimentation. It is referred as Massive Open Online Labs (MOOLs). Being able to sustain a massive number of users accessing a specific resource concurrently is a complex task ...

IEEE2016

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The major research in the resource management literature focuses primarily on two directions: 1) specification languages for formulating resource requests and 2) constraint problems modelling allocation and scheduling. Both directions assume the knowledge ...

2016

The role of numerical integration in numerical homogenization

Assyr Abdulle

Finite elements methods (FEMs) with numerical integration play a central role in numerical homogenization methods for partial differential equations with multiple scales, as the effective data in a homogenization problem can only be recovered from a micros ...

2015

Introducing Speculation in Self-Stabilization: An Application to Mutual Exclusion

Rachid Guerraoui

Self-stabilization ensures that, after any transient fault, the system recovers in a finite time and eventually exhibits correct behavior. Speculation consists in guaranteeing that the system satisfies its requirements for any execution but exhibits signif ...

2013

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