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Institution

Paris Dauphine University

EducationParis, France
About: Paris Dauphine University is a education organization based out in Paris, France. It is known for research contribution in the topics: Population & Approximation algorithm. The organization has 1766 authors who have published 6909 publications receiving 162747 citations. The organization is also known as: Paris Dauphine & Dauphine.


Papers
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Journal ArticleDOI
TL;DR: This paper presents a multiple reference point approach for multi-objective optimization problems of discrete and combinatorial nature that can easily be implemented in a parallel algorithmic framework for approximating the Pareto Frontier.

73 citations

Journal ArticleDOI
TL;DR: In this paper, the authors studied the relationship between energy consumption and economic growth in Cameroon through a three-step approach: (i) study the stationarity of the chronic, (ii) test of causality between variables and (iii) estimate the appropriate model.

72 citations

Posted Content
TL;DR: It is conjecture that the classical algorithm of alternating projections (Gerchberg–Saxton) succeeds with high probability when no special initialization procedure is used, and it is conjectured that this result is still true when nospecial initialization process is used.
Abstract: We consider a phase retrieval problem, where we want to reconstruct a $n$-dimensional vector from its phaseless scalar products with $m$ sensing vectors. We assume the sensing vectors to be independently sampled from complex normal distributions. We propose to solve this problem with the classical non-convex method of alternating projections. We show that, when $m\geq Cn$ for $C$ large enough, alternating projections succeed with high probability, provided that they are carefully initialized. We also show that there is a regime in which the stagnation points of the alternating projections method disappear, and the initialization procedure becomes useless. However, in this regime, $m$ has to be of the order of $n^2$. Finally, we conjecture from our numerical experiments that, in the regime $m=O(n)$, there are stagnation points, but the size of their attraction basin is small if $m/n$ is large enough, so alternating projections can succeed with probability close to $1$ even with no special initialization.

72 citations

Journal ArticleDOI
TL;DR: In this article, the authors provided jet fuel demand projections at the worldwide level and for eight geographical zones until 2025 using dynamic panel-data econometrics, and the conversion of air traffic projections into quantities of jet fuel was accomplished by using a complementary approach to the Traffic Efficiency method developed previously by the UK Department of Trade and Industry to support the Intergovernmental Panel on Climate Change ( IPCC, 1999 ).

72 citations

Journal ArticleDOI
TL;DR: In this paper, the construction of atomic Gaussian multiplicative chaos and the dual KPZ formula in Liouville quantum gravity is studied and a simplified proof of the classical KPZ model is given.
Abstract: This paper is concerned with the construction of atomic Gaussian multiplicative chaos and the KPZ formula in Liouville quantum gravity. On the first hand, we construct purely atomic random measures corresponding to values of the parameter γ 2 beyond the transition phase (i.e. γ 2 > 2d) and check the duality relation with sub-critical Gaussian multiplicative chaos. On the other hand, we give a simplified proof of the classical KPZ formula as well as the dual KPZ formula for atomic Gaussian multiplicative chaos. In particular, this framework allows to construct singular Liouville measures and to understand the duality relation in Liouville quantum gravity.

72 citations


Authors

Showing all 1819 results

NameH-indexPapersCitations
Pierre-Louis Lions9828357043
Laurent D. Cohen9441742709
Chris Bowler8728835399
Christian P. Robert7553536864
Albert Cohen7136819874
Gabriel Peyré6530316403
Kerrie Mengersen6573720058
Nader Masmoudi6224510507
Roland Glowinski6139320599
Jean-Michel Morel5930229134
Nizar Touzi5722411018
Jérôme Lang5727711332
William L. Megginson5516918087
Alain Bensoussan5541722704
Yves Meyer5312814604
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202317
202291
2021371
2020408
2019415
2018392