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Institution

Institut national des sciences appliquées de Rouen

EducationSaint-Étienne-du-Rouvray, France
About: Institut national des sciences appliquées de Rouen is a education organization based out in Saint-Étienne-du-Rouvray, France. It is known for research contribution in the topics: Combustion & Scattering. The organization has 1375 authors who have published 2102 publications receiving 46198 citations. The organization is also known as: INSA Rouen & Institut National des Sciences Appliquees de Rouen.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the main issues and related closures of turbulent combustion modeling are reviewed and a review of the models for non-premixed turbulent flames is given, along with examples of numerical models for mean burning rates for premixed turbulent combustion.

1,069 citations

01 Jan 1997
TL;DR: A thorough study on convex analysis approach to d.C.c. (difierence of convex functions) programming and gives the State of the Art results and the application of the DCA to solving a lot of important real-life d.c., polyhedral programming problems.
Abstract: Dedicated to Hoang Tuy on the occasion of his seventieth birthday Abstract. This paper is devoted to a thorough study on convex analysis approach to d.c. (difierence of convex functions) programming and gives the State of the Art. Main results about d.c. duality, local and global opti- malities in d.c. programming are presented. These materials constitute the basis of the DCA (d.c. algorithms). Its convergence properties have been tackled in detail, especially in d.c. polyhedral programming where it has flnite convergence. Exact penalty, Lagrangian duality without gap, and regularization techniques have beeen studied to flnd appropriate d.c. de- compositions and to improve consequently the DCA. Finally we present the application of the DCA to solving a lot of important real-life d.c. pro- grams.

748 citations

Journal Article
TL;DR: New methods to evaluate variable subset relevance with a view to variable selection based on weight vector derivative achieves good results and performs consistently well over the datasets used.
Abstract: We propose new methods to evaluate variable subset relevance with a view to variable selection. Relevance criteria are derived from Support Vector Machines and are based on weight vector ||w||2 or generalization error bounds sensitivity with respect to a variable. Experiments on linear and non-linear toy problems and real-world datasets have been carried out to assess the effectiveness of these criteria. Results show that the criterion based on weight vector derivative achieves good results and performs consistently well over the datasets we used.

699 citations

Journal ArticleDOI
TL;DR: In this article, the authors present a theoretical description of the scattering of a Gaussian beam by a spherical, homogeneous, and isotropic particle, based on the Bromwich method and closely following Kerker's formulation for plane-wave scattering.
Abstract: We present a theoretical description of the scattering of a Gaussian beam by a spherical, homogeneous, and isotropic particle. This theory handles particles with arbitrary size and nature having any location relative to the Gaussian beam. The formulation is based on the Bromwich method and closely follows Kerker’s formulation for plane-wave scattering. It provides expressions for the scattered intensities, the phase angle, the cross sections, and the radiation pressure.

583 citations


Authors

Showing all 1393 results

NameH-indexPapersCitations
Michel Vert6933317899
Baptiste Gault5239510787
Gérard Gouesbet5030410118
Kiyoshi Tomioka494408564
Dominique Cahard462018968
Didier Blavette442407067
Olivier Mongin421565556
Luc Vervisch421777649
Gérard Gréhan412376840
Xavier Sauvage411515903
Guy Quéguiner393455566
François Vurpillot391624779
Mostafa Safdari Shadloo391134198
Florence Mongin382135048
Arthur Germano Fett-Neto361223854
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202311
20229
202173
202072
201977
201880