Bibliography

Major publications by the team in recent years

• 1A. Aggarwal, R. M. Colombo, P. Goatin.
  
  Nonlocal systems of conservation laws in several space dimensions, in: SIAM Journal on Numerical Analysis, 2015, vol. 52, n^o 2, pp. 963-983.
  
  https://hal.inria.fr/hal-01016784
• 2L. Almeida, P. Bagnerini, A. Habbal, S. Noselli, F. Serman.
  
  A Mathematical Model for Dorsal Closure, in: Journal of Theoretical Biology, January 2011, vol. 268, n^o 1, pp. 105-119. [ DOI : 10.1016/j.jtbi.2010.09.029 ]
  
  http://hal.inria.fr/inria-00544350/en
• 3B. Andreianov, P. Goatin, N. Seguin.
  
  Finite volume schemes for locally constrained conservation laws, in: Numer. Math., 2010, vol. 115, n^o 4, pp. 609–645, With supplementary material available online.
• 4S. Blandin, P. Goatin.
  
  Well-posedness of a conservation law with non-local flux arising in traffic flow modeling, in: Numerische Mathematik, 2015. [ DOI : 10.1007/s00211-015-0717-6 ]
  
  https://hal.inria.fr/hal-00954527
• 5R. M. Colombo, P. Goatin.
  
  A well posed conservation law with a variable unilateral constraint, in: J. Differential Equations, 2007, vol. 234, n^o 2, pp. 654–675.
• 6M. L. Delle Monache, P. Goatin.
  
  Scalar conservation laws with moving constraints arising in traffic flow modeling: an existence result, in: J. Differential Equations, 2014, vol. 257, n^o 11, pp. 4015–4029.
• 7M. L. Delle Monache, J. Reilly, S. Samaranayake, W. Krichene, P. Goatin, A. Bayen.
  
  A PDE-ODE model for a junction with ramp buffer, in: SIAM J. Appl. Math., 2014, vol. 74, n^o 1, pp. 22–39.
• 8R. Duvigneau, P. Chandrashekar.
  
  Kriging-based optimization applied to flow control, in: Int. J. for Numerical Methods in Fluids, 2012, vol. 69, n^o 11, pp. 1701-1714.
• 9A. Habbal, M. Kallel.
  
  Neumann-Dirichlet Nash strategies for the solution of elliptic Cauchy problems, in: SIAM J. Control Optim., 2013, vol. 51, n^o 5, pp. 4066–4083.
• 10M. Kallel, R. Aboulaich, A. Habbal, M. Moakher.
  
  A Nash-game approach to joint image restoration and segmentation, in: Appl. Math. Model., 2014, vol. 38, n^o 11-12, pp. 3038–3053.
  
  http://dx.doi.org/10.1016/j.apm.2013.11.034
• 11M. Martinelli, R. Duvigneau.
  
  On the use of second-order derivative and metamodel-based Monte-Carlo for uncertainty estimation in aerodynamics, in: Computers and Fluids, 2010, vol. 37, n^o 6.
• 12S. Roy, A. Borzì, A. Habbal.
  
  Pedestrian motion modelled by Fokker–Planck Nash games, in: Royal Society open science, 2017, vol. 4, n^o 9, 170648 p.
• 13M. Twarogowska, P. Goatin, R. Duvigneau.
  
  Macroscopic modeling and simulations of room evacuation, in: Appl. Math. Model., 2014, vol. 38, n^o 24, pp. 5781–5795.
• 14G. Xu, B. Mourrain, A. Galligo, R. Duvigneau.
  
  Constructing analysis-suitable parameterization of computational domain from CAD boundary by variational harmonic method, in: J. Comput. Physics, November 2013, vol. 252.
• 15B. Yahyaoui, M. Ayadi, A. Habbal.
  
  Fisher-KPP with time dependent diffusion is able to model cell-sheet activated and inhibited wound closure, in: Mathematical biosciences, 2017, vol. 292, pp. 36–45.

Publications of the year

Doctoral Dissertations and Habilitation Theses

• 16K. Chahour.
  
  Modeling coronary blood flow using a non newtonian fluid model : fractional flow reserve estimation, Université Nice Sophia Antipolis, December 2019.
  
  https://hal.inria.fr/tel-02430901

Articles in International Peer-Reviewed Journals

• 17F. Berthelin, P. Goatin.
  
  Regularity results for the solutions of a non-local model of traffic, in: Discrete and Continuous Dynamical Systems - Series A, 2019, vol. 39, n^o 6, pp. 3197-3213.
  
  https://hal.archives-ouvertes.fr/hal-01813760
• 18E. Bertino, R. Duvigneau, P. Goatin.
  
  Uncertainty quantification in a macroscopic traffic flow model calibrated on GPS data, in: Mathematical Biosciences and Engineering, 2019, forthcoming.
  
  https://hal.archives-ouvertes.fr/hal-02379540
• 19K. Chahour, R. Aboulaich, A. Habbal, N. Zemzemi, C. Abdelkhirane.
  
  Virtual FFR quantified with a generalized flow model using Windkessel boundary conditions ; Application to a patient-specific coronary tree, in: Computational and Mathematical Methods in Medicine, 2020, forthcoming.
  
  https://hal.inria.fr/hal-02427411
• 20R. Chamekh, A. Habbal, M. Kallel, N. Zemzemi.
  
  A nash game algorithm for the solution of coupled conductivity identification and data completion in cardiac electrophysiology, in: Mathematical Modelling of Natural Phenomena, February 2019, vol. 14, n^o 2, 15 p, forthcoming. [ DOI : 10.1051/mmnp/2018059 ]
  
  https://hal.archives-ouvertes.fr/hal-01923819
• 21F. A. Chiarello, J. Friedrich, P. Goatin, S. Göttlich, O. Kolb.
  
  A non-local traffic flow model for 1-to-1 junctions, in: European Journal of Applied Mathematics, 2019, forthcoming.
  
  https://hal.archives-ouvertes.fr/hal-02142345
• 22F. A. Chiarello, P. Goatin.
  
  Non-local multi-class traffic flow models, in: Networks and Heterogeneous Media, 2019.
  
  https://hal.archives-ouvertes.fr/hal-01853260
• 23F. A. Chiarello, P. Goatin, E. Rossi.
  
  Stability estimates for non-local scalar conservation laws, in: Nonlinear Analysis: Real World Applications, 2019, vol. 45, pp. 668-687, https://arxiv.org/abs/1801.05587. [ DOI : 10.1016/j.nonrwa.2018.07.027 ]
  
  https://hal.inria.fr/hal-01685806
• 24F. A. Chiarello, P. Goatin, L. M. Villada.
  
  Lagrangian-Antidiffusive Remap schemes for non-local multi-class traffic flow models, in: Computational and Applied Mathematics, 2019, forthcoming.
  
  https://hal.archives-ouvertes.fr/hal-01952378
• 25M. M. R. Elsawy, S. Lanteri, R. Duvigneau, G. Brière, M. S. Mohamed, P. Genevet.
  
  Global optimization of metasurface designs using statistical learning methods, in: Scientific Reports, November 2019, vol. 9, n^o 1. [ DOI : 10.1038/s41598-019-53878-9 ]
  
  https://hal.archives-ouvertes.fr/hal-02156881
• 26C. Fiorini, C. Chalons, R. Duvigneau.
  
  A modified sensitivity equation method for the Euler equations in presence of shocks, in: Numerical Methods for Partial Differential Equations, 2019, forthcoming.
  
  https://hal.inria.fr/hal-01817815
• 27P. Goatin, N. Laurent-Brouty.
  
  The zero relaxation limit for the Aw-Rascle-Zhang traffic flow model, in: Zeitschrift für Angewandte Mathematik und Physik, January 2019, vol. 70, n^o 31. [ DOI : 10.1007/s00033-018-1071-1 ]
  
  https://hal.inria.fr/hal-01760930
• 28P. Goatin, E. Rossi.
  
  A multi-lane macroscopic traffic flow model for simple networks, in: SIAM Journal on Applied Mathematics, 2019, vol. 79, n^o 5, https://arxiv.org/abs/1904.04535. [ DOI : 10.1137/19M1254386 ]
  
  https://hal.inria.fr/hal-02092690
• 29P. Goatin, E. Rossi.
  
  Well-posedness of IBVP for 1D scalar non-local conservation laws, in: Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 2019, vol. 99, n^o 11, https://arxiv.org/abs/1811.09044. [ DOI : 10.1002/zamm.201800318 ]
  
  https://hal.inria.fr/hal-01929196
• 30A. Habbal, M. Kallel, M. Ouni.
  
  Nash strategies for the inverse inclusion Cauchy-Stokes problem, in: Inverse Problems and Imaging , 2019, vol. 13, n^o 4, 36 p. [ DOI : 10.3934/ipi.2019038 ]
  
  https://hal.inria.fr/hal-01945094
• 31E. Rossi, J. Kötz, P. Goatin, S. Göttlich.
  
  Well-posedness of a non-local model for material flow on conveyor belts, in: ESAIM: Mathematical Modelling and Numerical Analysis, 2019, https://arxiv.org/abs/1902.06488 - MSC: 35L65, 65M12, forthcoming. [ DOI : 10.1051/m2an/2019062 ]
  
  https://hal.inria.fr/hal-02022654
• 32E. Rossi.
  
  Well-posedness of general 1D Initial Boundary Value Problems for scalar balance laws, in: Discrete and Continuous Dynamical Systems - Series A, 2019, vol. 39, n^o 6, pp. 3577-3608, https://arxiv.org/abs/1809.06066. [ DOI : 10.3934/dcds.2019147 ]
  
  https://hal.inria.fr/hal-01875159
• 33T. Zineb, R. Ellaia, A. Habbal.
  
  New hybrid algorithm based on nonmonotone spectral gradient and simultaneous perturbation, in: International Journal of Mathematical Modelling and Numerical Optimisation, 2019, vol. 9, n^o 1, pp. 1-23. [ DOI : 10.1504/IJMMNO.2019.096911 ]
  
  https://hal.inria.fr/hal-01944548

International Conferences with Proceedings

• 34A. Festa, P. Goatin.
  
  Modeling the impact of on-line navigation devices in traffic flows, in: CDC 2019 - 58th IEEE Conference on Decision and Control, Nice, France, IEEE Conference on Decision and Control, December 2019.
  
  https://hal.archives-ouvertes.fr/hal-02379576
• 35S.-X. Tang, A. Keimer, P. Goatin, A. Bayen.
  
  A study on minimum time regulation of a bounded congested road with upstream flow control, in: CDC 2019 - 58th IEEE Conference on Decision and Control, Nice, France, IEEE Conference on Decision and Control, December 2019.
  
  https://hal.archives-ouvertes.fr/hal-02379589

Conferences without Proceedings

• 36R. Duvigneau.
  
  Adaptive Refinement for Compressible Flow Analysis using an Isogeometric Discontinuous Galerkin Method, in: IGA 2019 - 7th International Conference on Isogeometric Analysis, Munich, Germany, September 2019.
  
  https://hal.inria.fr/hal-02313641
• 37R. Duvigneau, S. Pezzano, M. Stauffert.
  
  A NURBS-based Discontinuous Galerkin method for CAD compliant flow simulations, in: SHARK-FV 2019 - Conference on Sharing Higher-order Advanced Research Know-how on Finite Volume, Minho, Portugal, May 2019.
  
  https://hal.inria.fr/hal-02303621
• 38M. M. R. Elsawy, S. Lanteri, R. Duvigneau, G. Brière, P. Genevet.
  
  Optimized 3D metasurface for maximum light deflection at visible range, in: META 2019 - 10th International Conference on Metamaterials, Photonic Crystals and Plasmonics, Lisbonne, Portugal, July 2019, vol. 2019.
  
  https://www.hal.inserm.fr/inserm-02430395
• 39S. Pezzano, R. Duvigneau.
  
  An Arbitrary Lagrangian Eulerian Formulation for Isogeometric Discontinuous Galerkin Schemes, in: IGA 2019 - 7th International Conference on Isogeometric Analysis, Munich, Germany, September 2019.
  
  https://hal.inria.fr/hal-02313649
• 40M. Stauffert, R. Duvigneau.
  
  Shape Sensitivity Analysis for Hyperbolic Systems using an Isogeometric Discontinuous Galerkin Method, in: IGA 2019 - 7th International Conference on Isogeometric Analysis, Munich, Germany, September 2019.
  
  https://hal.inria.fr/hal-02313657

Internal Reports

• 41J.-A. Desideri.
  
  Platform for prioritized multi-objective optimization by metamodel-assisted Nash games, Inria Sophia Antipolis, September 2019, n^o RR-9290.
  
  https://hal.inria.fr/hal-02285197
• 42J.-A. Désidéri, R. Duvigneau.
  
  Direct and adaptive approaches to multi-objective optimization, Inria - Sophia Antipolis, September 2019, n^o RR-9291.
  
  https://hal.inria.fr/hal-02285899

Other Publications

• 43M. Binois, R. B. Gramacy.
  
  hetGP: Heteroskedastic Gaussian Process Modeling and Sequential Design in R, December 2019, working paper or preprint.
  
  https://hal.inria.fr/hal-02414688
• 44C. Chalons, S. Kokh, M. Stauffert.
  
  An all-regime and well-balanced Lagrange-projection type scheme for the shallow water equations on unstructured meshes, February 2019, https://arxiv.org/abs/1902.01067 - working paper or preprint.
  
  https://hal.archives-ouvertes.fr/hal-02004835
• 45F. A. Chiarello.
  
  An overview of non-local traffic flow models, December 2019, working paper or preprint.
  
  https://hal.archives-ouvertes.fr/hal-02407600
• 46F. A. Chiarello, J. Friedrich, P. Goatin, S. Göttlich.
  
  Micro-Macro limit of a non-local generalized Aw-Rascle type model, January 2020, working paper or preprint.
  
  https://hal.archives-ouvertes.fr/hal-02443123
• 47R. Duvigneau.
  
  CAD-consistent adaptive refinement using a NURBS-based Discontinuous Galerkin method, November 2019, working paper or preprint.
  
  https://hal.inria.fr/hal-02355979
• 48N. S. Dymski, P. Goatin, M. D. Rosini.
  
  Modeling moving bottlenecks on road networks, January 2019, working paper or preprint.
  
  https://hal.archives-ouvertes.fr/hal-01985837
• 49M. Garavello, P. Goatin, T. Liard, B. Piccoli.
  
  A controlled multiscale model for traffic regulation via autonomous vehicles, October 2019, https://arxiv.org/abs/1910.04021 - working paper or preprint.
  
  https://hal.archives-ouvertes.fr/hal-02308788
• 50N. Laurent-Brouty, G. Costeseque, P. Goatin.
  
  A macroscopic traffic flow model accounting for bounded acceleration, December 2019, working paper or preprint.
  
  https://hal.inria.fr/hal-02155131
• 51N. Laurent-Brouty, A. Keimer, P. Goatin, A. Bayen.
  
  A macroscopic traffic flow model with finite buffers on networks: Well-posedness by means of Hamilton-Jacobi equations, May 2019, working paper or preprint.
  
  https://hal.inria.fr/hal-02121812
• 52G. Piacentini, P. Goatin, A. Ferrara.
  
  A macroscopic model for platooning in highway traffic, October 2019, working paper or preprint.
  
  https://hal.archives-ouvertes.fr/hal-02309950
• 53N. Wycoff, M. Binois, S. M. Wild.
  
  Sequential Learning of Active Subspaces, November 2019, https://arxiv.org/abs/1907.11572 - working paper or preprint.
  
  https://hal.inria.fr/hal-02367750

References in notes

• 54R. Abgrall, P. M. Congedo.
  
  A semi-intrusive deterministic approach to uncertainty quantification in non-linear fluid flow problems, in: J. Comput. Physics, 2012.
• 55A. Aggarwal, R. M. Colombo, P. Goatin.
  
  Nonlocal systems of conservation laws in several space dimensions, in: SIAM Journal on Numerical Analysis, 2015, vol. 52, n^o 2, pp. 963-983.
  
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• 56G. Alessandrini.
  
  Examples of instability in inverse boundary-value problems, in: Inverse Problems, 1997, vol. 13, n^o 4, pp. 887–897.
  
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• 57L. Almeida, P. Bagnerini, A. Habbal.
  
  Modeling actin cable contraction, in: Comput. Math. Appl., 2012, vol. 64, n^o 3, pp. 310–321.
  
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• 58L. Almeida, P. Bagnerini, A. Habbal, S. Noselli, F. Serman.
  
  A Mathematical Model for Dorsal Closure, in: Journal of Theoretical Biology, January 2011, vol. 268, n^o 1, pp. 105-119. [ DOI : 10.1016/j.jtbi.2010.09.029 ]
  
  http://hal.inria.fr/inria-00544350/en
• 59D. Amadori, W. Shen.
  
  An integro-differential conservation law arising in a model of granular flow, in: J. Hyperbolic Differ. Equ., 2012, vol. 9, n^o 1, pp. 105–131.
• 60P. Amorim.
  
  On a nonlocal hyperbolic conservation law arising from a gradient constraint problem, in: Bull. Braz. Math. Soc. (N.S.), 2012, vol. 43, n^o 4, pp. 599–614.
• 61P. Amorim, R. M. Colombo, A. Teixeira.
  
  On the Numerical Integration of Scalar Nonlocal Conservation Laws, in: ESAIM M2AN, 2015, vol. 49, n^o 1, pp. 19–37.
• 62M. Annunziato, A. Borzì.
  
  A Fokker-Planck control framework for multidimensional stochastic processes, in: Journal of Computational and Applied Mathematics, 2013, vol. 237, pp. 487-507.
• 63A. Belme, F. Alauzet, A. Dervieux.
  
  Time accurate anisotropic goal-oriented mesh adaptation for unsteady flows, in: J. Comput. Physics, 2012, vol. 231, n^o 19, pp. 6323–6348.
• 64S. Benzoni-Gavage, R. M. Colombo, P. Gwiazda.
  
  Measure valued solutions to conservation laws motivated by traffic modelling, in: Proc. R. Soc. Lond. Ser. A Math. Phys. Eng. Sci., 2006, vol. 462, n^o 2070, pp. 1791–1803.
• 65E. Bertino, R. Duvigneau, P. Goatin.
  
  Uncertainties in traffic flow and model validation on GPS data, 2015.
• 66F. Betancourt, R. Bürger, K. H. Karlsen, E. M. Tory.
  
  On nonlocal conservation laws modelling sedimentation, in: Nonlinearity, 2011, vol. 24, n^o 3, pp. 855–885.
• 67M. Binois, V. Picheny, P. Taillandier, A. Habbal.
  
  The Kalai-Smorodinski solution for many-objective Bayesian optimization, in: BayesOpt workshop at NIPS 2017 - 31st Conference on Neural Information Processing Systems, Long Beach, United States, December 2017, pp. 1-6.
  
  https://hal.inria.fr/hal-01656393
• 68S. Blandin, P. Goatin.
  
  Well-posedness of a conservation law with non-local flux arising in traffic flow modeling, in: Numer. Math., 2016, vol. 132, n^o 2, pp. 217–241.
  
  https://doi.org/10.1007/s00211-015-0717-6
• 69J. Borggaard, J. Burns.
  
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• 70R. Bourguet, M. Brazza, G. Harran, R. El Akoury.
  
  Anisotropic Organised Eddy Simulation for the prediction of non-equilibrium turbulent flows around bodies, in: J. of Fluids and Structures, 2008, vol. 24, n^o 8, pp. 1240–1251.
• 71A. Bressan, S. Čanić, M. Garavello, M. Herty, B. Piccoli.
  
  Flows on networks: recent results and perspectives, in: EMS Surv. Math. Sci., 2014, vol. 1, n^o 1, pp. 47–111.
• 72M. Burger, M. Di Francesco, P. A. Markowich, M.-T. Wolfram.
  
  Mean field games with nonlinear mobilities in pedestrian dynamics, in: Discrete Contin. Dyn. Syst. Ser. B, 2014, vol. 19, n^o 5, pp. 1311–1333.
• 73M. Burger, J. Haskovec, M.-T. Wolfram.
  
  Individual based and mean-field modelling of direct aggregation, in: Physica D, 2013, vol. 260, pp. 145–158.
• 74A. Cabassi, P. Goatin.
  
  Validation of traffic flow models on processed GPS data, 2013, Research Report RR-8382.
  
  https://hal.inria.fr/hal-00876311
• 75J. A. Carrillo, S. Martin, M.-T. Wolfram.
  
  A local version of the Hughes model for pedestrian flow, 2015, Preprint.
• 76K. Chahour, R. Aboulaich, A. Habbal, N. Zemzemi, C. Abdelkhirane.
  
  Virtual FFR quantified with a generalized flow model using Windkessel boundary conditions ; Application to a patient-specific coronary tree, in: Computational and Mathematical Methods in Medicine, 2020.
  
  https://hal.inria.fr/hal-02427411
• 77C. Chalons, M. L. Delle Monache, P. Goatin.
  
  A conservative scheme for non-classical solutions to a strongly coupled PDE-ODE problem, 2015, Preprint.
• 78F. A. Chiarello, P. Goatin, L. M. Villada.
  
  High-order Finite Volume WENO schemes for non-local multi-class traffic flow models, in: XVII International Conference on Hyperbolic Problems Theory, Numerics, Applications, University Park, Pennsylvania, United States, June 2018.
  
  https://hal.archives-ouvertes.fr/hal-01979543
• 79C. Claudel, A. M. Bayen.
  
  Lax-Hopf Based Incorporation of Internal Boundary Conditions Into Hamilton-Jacobi Equation. Part II: Computational Methods, in: Automatic Control, IEEE Transactions on, May 2010, vol. 55, n^o 5, pp. 1158-1174.
• 80C. G. Claudel, A. M. Bayen.
  
  Convex formulations of data assimilation problems for a class of Hamilton-Jacobi equations, in: SIAM J. Control Optim., 2011, vol. 49, n^o 2, pp. 383–402.
• 81R. M. Colombo, M. Garavello, M. Lécureux-Mercier.
  
  A Class Of Nonloval Models For Pedestrian Traffic, in: Mathematical Models and Methods in Applied Sciences, 2012, vol. 22, n^o 04, 1150023 p.
• 82R. M. Colombo, M. Herty, M. Mercier.
  
  Control of the continuity equation with a non local flow, in: ESAIM Control Optim. Calc. Var., 2011, vol. 17, n^o 2, pp. 353–379.
• 83R. M. Colombo, M. Lécureux-Mercier.
  
  Nonlocal crowd dynamics models for several populations, in: Acta Math. Sci. Ser. B Engl. Ed., 2012, vol. 32, n^o 1, pp. 177–196.
• 84R. M. Colombo, F. Marcellini.
  
  A mixed ODE-PDE model for vehicular traffic, in: Mathematical Methods in the Applied Sciences, 2015, vol. 38, n^o 7, pp. 1292–1302.
• 85R. M. Colombo, E. Rossi.
  
  On the micro-macro limit in traffic flow, in: Rend. Semin. Mat. Univ. Padova, 2014, vol. 131, pp. 217–235.
• 86G. Costeseque, J.-P. Lebacque.
  
  Discussion about traffic junction modelling: conservation laws vs Hamilton-Jacobi equations, in: Discrete Contin. Dyn. Syst. Ser. S, 2014, vol. 7, n^o 3, pp. 411–433.
• 87G. Crippa, M. Lécureux-Mercier.
  
  Existence and uniqueness of measure solutions for a system of continuity equations with non-local flow, in: Nonlinear Differential Equations and Applications NoDEA, 2012, pp. 1-15.
• 88E. Cristiani, B. Piccoli, A. Tosin.
  
  How can macroscopic models reveal self-organization in traffic flow?, in: Decision and Control (CDC), 2012 IEEE 51st Annual Conference on, Dec 2012, pp. 6989-6994.
• 89E. Cristiani, B. Piccoli, A. Tosin.
  
  Multiscale modeling of pedestrian dynamics, MS&A. Modeling, Simulation and Applications, Springer, Cham, 2014, vol. 12.
• 90T. Cuisset, J. QuiliCi, G. Cayla..
  
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• 91C. M. Dafermos.
  
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• 92P. Degond, J.-G. Liu, C. Ringhofer.
  
  Large-scale dynamics of mean-field games driven by local Nash equilibria, in: J. Nonlinear Sci., 2014, vol. 24, n^o 1, pp. 93–115.
  
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• 93M. L. Delle Monache, P. Goatin.
  
  A front tracking method for a strongly coupled PDE-ODE system with moving density constraints in traffic flow, in: Discrete Contin. Dyn. Syst. Ser. S, 2014, vol. 7, n^o 3, pp. 435–447.
• 94M. L. Delle Monache, P. Goatin.
  
  Scalar conservation laws with moving constraints arising in traffic flow modeling: an existence result, in: J. Differential Equations, 2014, vol. 257, n^o 11, pp. 4015–4029.
• 95B. Després, G. Poëtte, D. Lucor.
  
  Robust uncertainty propagation in systems of conservation laws with the entropy closure method, in: Uncertainty quantification in computational fluid dynamics, Lect. Notes Comput. Sci. Eng., Springer, Heidelberg, 2013, vol. 92, pp. 105–149.
• 96M. Di Francesco, M. D. Rosini.
  
  Rigorous Derivation of Nonlinear Scalar Conservation Laws from Follow-the-Leader Type Models via Many Particle Limit, in: Archive for Rational Mechanics and Analysis, 2015.
• 97R. J. DiPerna.
  
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• 98C. Dogbé.
  
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• 99R. Duvigneau.
  
  A Sensitivity Equation Method for Unsteady Compressible Flows: Implementation and Verification, Inria Research Report No 8739, June 2015.
• 100R. Duvigneau, D. Pelletier.
  
  A sensitivity equation method for fast evaluation of nearby flows and uncertainty analysis for shape parameters, in: Int. J. of Computational Fluid Dynamics, August 2006, vol. 20, n^o 7, pp. 497–512.
• 101J.-A. Désidéri.
  
  Split of Territories in Concurrent Optimization, Inria, October 2007, n^o 6108, 34 p, https://hal.inria.fr/inria-00127194.
• 102J.-A. Désidéri.
  
  Multiple-gradient descent algorithm (MGDA) for multiobjective optimization, in: Comptes Rendus de l'Académie des Sciences Paris, 2012, vol. 350, pp. 313-318.
  
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