Major publications by the team in recent years
  • 1K. Burrage, J. Erhel.

    On the performance of various adaptive preconditioned GMRES, in: Numerical Linear Algebra with Applications, 1998, vol. 5, pp. 101-121.
  • 2J. Carrayrou, J. Hoffmann, P. Knabner, S. Kräutle, C. De Dieuleveult, J. Erhel, J. Van der Lee, V. Lagneau, K. Mayer, K. MacQuarrie.

    Comparison of numerical methods for simulating strongly non-linear and heterogeneous reactive transport problems. The MoMaS benchmark case, in: Computational Geosciences, 2010, vol. 14, no 3, pp. 483-502.
  • 3R. Choquet, J. Erhel.

    Newton-GMRES algorithm applied to compressible flows, in: International Journal for Numerical Methods in Fluids, 1996, vol. 23, pp. 177-190.
  • 4T. Corpetti, D. Heitz, G. Arroyo, E. Mémin, A. Santa-Cruz.

    Fluid experimental flow estimation based on an optical-flow scheme, in: Experiments in fluids, 2006, vol. 40, pp. 80–97.
  • 5J.-R. De Dreuzy, A. Beaudoin, J. Erhel.

    Asymptotic dispersion in 2D heterogeneous porous media determined by parallel numerical simulations, in: Water Resource Research, 2007, vol. 43, no W10439, doi:10.1029/2006WR005394.
  • 6J. Erhel, S. Rault.

    Algorithme parallèle pour le calcul d'orbites : Parallélisation à travers le temps, in: Technique et science informatiques, 2000, vol. 19, no 5.
  • 7A. Gronskis, D. Heitz, E. Mémin.

    Inflow and initial conditions for direct numerical simulation based on adjoint data assimilation, in: Journal of Computational Physics, 2013, vol. 242, pp. 480-497. [ DOI : 10.1016/j.jcp.2013.01.051 ]

  • 8D. Heitz, E. Mémin, C. Schnoerr.

    Variational Fluid Flow Measurements from Image Sequences: Synopsis and Perspectives, in: Experiments in fluids, 2010, vol. 48, no 3, pp. 369–393.
  • 9H. Hoteit, J. Erhel, R. Mosé, B. Philippe, P. Ackerer.

    Numerical Reliability for Mixed Methods Applied to Flow Problems in Porous Media, in: Computational Geosciences, 2002, vol. 6, pp. 161-194.
  • 10E. Mémin.

    Fluid flow dynamics under location uncertainty, in: Geophysical & Astrophysical Fluid Dynamics, 2014, vol. 108, no 2, pp. 119-146.

  • 11N. Papadakis, E. Mémin.

    A variational technique for time consistent tracking of curves and motion, in: Journal of Mathematical Imaging and Vision, 2008, vol. 31, no 1, pp. 81–103.

  • 12Y. Saad, M. Yeung, J. Erhel, F. Guyomarc'h.

    A deflated version of the Conjugate Gradient Algorithm, in: SIAM Journal on Scientific Computing, 2000, vol. 21, no 5, pp. 1909-1926.
Publications of the year

Articles in International Peer-Reviewed Journals

  • 13P. Arbogast, O. Pannekoucke, L. Raynaud, R. Lalanne, E. Mémin.

    Object-oriented processing of CRM precipitation forecasts by stochastic filtering, in: Quarterly Journal of the Royal Meteorological Society, 2016. [ DOI : 10.1002/qj.2871 ]

  • 14I. Barbu, C. Herzet.

    A new approach for volume reconstruction in TomoPIV with the alternating direction method of multipliers, in: Measurement Science and Technology, 2016, vol. 27, 21 p. [ DOI : 10.1088/0957-0233/27/10/104002 ]

  • 15J. Erhel, S. Sabit.

    Analysis of a global reactive transport model and results for the MoMaS benchmark, in: Mathematics and Computers in Simulation, 2017.

  • 16C. Herzet, A. Drémeau, C. Soussen.

    Relaxed recovery conditions for OMP/OLS by exploiting both coherence and decay, in: IEEE Transactions on Information Theory, January 2016, vol. 62, no 1, pp. 459-470. [ DOI : 10.1109/TIT.2015.2490660 ]

  • 17C. Herzet, A. Drémeau, C. Soussen.

    Relaxed Recovery Conditions for OMP/OLS by Exploiting Both Coherence and Decay, in: IEEE Transactions on Information Theory, 2016, vol. 62, pp. 459 - 470. [ DOI : 10.1109/TIT.2015.2490660 ]

  • 18P. Héas, A. Drémeau, C. Herzet.

    An Efficient Algorithm for Video Super-Resolution Based On a Sequential Model, in: SIAM Journal on Imaging Sciences, 2016, vol. 9, no 2, pp. 537-572, 37 pages. [ DOI : 10.1137/15M1023956 ]

  • 19S. Nakhostin, H. Clenet, T. Corpetti, N. Courty.

    Joint Anomaly Detection and Spectral Unmixing for Planetary Hyperspectral Images, in: IEEE Transactions on Geoscience and Remote Sensing, 2016, vol. 54, pp. 6879 - 6894. [ DOI : 10.1109/TGRS.2016.2586188 ]


Invited Conferences

  • 20J. Erhel.

    Un modèle mathématique de réactions chimiques et de transport réactif, in: Calcul Scientifique et Modélisation Mathématique, Amiens, France, 2016.

  • 21J. Erhel, S. Sabit, T. Migot.

    Reactive transport simulations using a global approach, in: computational methods in water resources (CMWR), Toronto, Canada, 2016.

  • 22D. Imberti, J. Erhel.

    Parallel GMRES using a variable s-step Krylov basis, in: SIAM Conference on Parallel Processing for scientific computing, Paris, France, 2016.

  • 23D. Imberti, J. Erhel.

    Varying the s in s-step GMRES, in: Numerical Linear Algebra and Applications (NL2A), Marseille, France, 2016.


International Conferences with Proceedings

  • 24C. Herzet, A. Malti.

    Safe screening tests for lasso based on firmly non-expansiveness, in: IEEE International conference on acoustics, speech and signal processing (ICASSP’16), Shanghai, China, March 2016.

  • 25P. Héas, C. Herzet.

    Reduced-Order Modeling of Hidden Dynamics, in: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASPP), Shangai, China, March 2016, pp. 1268–1272. [ DOI : 10.1109/ICASSP.2016.7471880 ]


Conferences without Proceedings

  • 26N. Courty, R. Flamary, D. Tuia, T. Corpetti.

    Optimal Transport for Data Fusion in Remote Sensing, in: IGARSS, Beijing, China, July 2016.

  • 27B. Delfino, J.-R. De Dreuzy, J. Erhel, B. Cochepin, Y. Méheust.

    Impact of fractures on diffusively dominated reactive transport: application to radioactive waste storage studies, in: Computational Methods for Water Resources (CMWR), Toronto, Canada, 2016.

  • 28B. Delfino, J. R. de Dreuzy, J. Erhel.

    Impact of fractures on diffusion dominated reactive transport in porous media: application to the study of a radioactive waste storage, in: 13èmes Journéess d'études des Milieux Poreux 2016, Anglet, France, October 2016.

  • 29S. Nakhostin, N. Courty, R. Flamary, T. Corpetti.

    Supervised Planetary Unmixing with Optimal Transport, in: WHISPERS 8th workshop on Hyperspectral image and Signal Processing: Evolution in Remote Sensing, Los Angeles, United States, August 2016.

  • 30V. Resseguier, E. Mémin, B. Chapron, P. Dérian.

    Stochastic parameterization of geophysical flows through modelling under location uncertainty, in: Data Analysis and Modeling in Earth Sciences (DAMES) 2016, Hambourg, Germany, September 2016.

  • 31V. Resseguier, E. Mémin, B. Chapron.

    Likely chaotic transitions of large-scale fluid flows using a stochastic transport model, in: 9th Chaotic Modeling and Simulation International Conference (CHAOS2016), Londres, United Kingdom, May 2016.

  • 32V. Resseguier, E. Mémin, B. Chapron.

    Randomized fluid dynamics based on subgrid transport, in: Workshop on Stochastic Weather Generators, Vannes, France, May 2016.

  • 33V. Resseguier, E. Mémin, B. Chapron.

    Transport along stochatic flows in fluid dynamics, in: Workshop - Statistical methods for dynamical stochastic models - DYNSTOCH 2016, Rennes, France, June 2016.


Other Publications

  • 34I. Barbu, A. Guibert, P. Loisel, D. Heitz.

    Optical Flow Estimation out of Infrared Image Sequences of Biogas, June 2016, The 17th International Symposium on Flow Visualization, Poster. [ DOI : 10.13140/RG.2.2.35868.28808 ]

  • 35I. Barbu, A. Guibert, P. Loisel, D. Heitz.

    Validation d'une technique de vélocimétrie du gaz par imagerie infrarouge, September 2016, CFTL2016, Poster. [ DOI : 10.13140/RG.2.2.11095.68006 ]

  • 36A. Drémeau, C. Herzet.

    DOA estimation in structured phase-noisy environments: technical report, 2016, working paper or preprint.

  • 37C. Herzet, A. Drémeau, P. Héas.

    Model Reduction from Partial Observations, 2016, working paper or preprint.

  • 38P. Héas, C. Herzet.

    Low-rank Approximation and Dynamic Mode Decomposition, 2016, working paper or preprint.

  • 39D. Imberti, J. Erhel.

    Vary the s in Your s-step GMRES, July 2016, working paper or preprint.

  • 40S. Kadri Harouna, E. Mémin.

    Stochastic representation of the Reynolds transport theorem: revisiting large-scale modeling, November 2016, working paper or preprint.

  • 41V. Resseguier, E. Mémin, B. Chapron.

    Geophysical flows under location uncertainty, Part I Random transport and general models, October 2016, working paper or preprint.

  • 42V. Resseguier, E. Mémin, B. Chapron.

    Geophysical flows under location uncertainty, Part II Quasi-geostrophy and efficient ensemble spreading, October 2016, working paper or preprint.

  • 43V. Resseguier, E. Mémin, B. Chapron.

    Geophysical flows under location uncertainty, Part III SQG and frontal dynamics under strong turbulence conditions, October 2016, working paper or preprint.

  • 44V. Resseguier, E. Mémin, B. Chapron.

    Oceanic models under uncertainty, June 2016, CMG 2016 : 31st IUGG Conference on Mathematical Geophysics, Poster.

  • 45V. Resseguier, E. Mémin, B. Chapron.

    Stochastic subgrid tensor for geophysical flow modeling, July 2016, 8th European Postgraduate Fluid Dynamics Conference, Poster.

  • 46V. Resseguier, E. Mémin, D. Heitz, B. Chapron.

    Stochastic modelling and diffusion modes for POD models and small-scale flow analysis, November 2016, working paper or preprint.

References in notes
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  • 48T. Bewley.

    Flow control: new challenges for a new Renaissance, in: Progress in Aerospace Sciences, 2001, vol. 37, pp. 21–58.
  • 49S. Beyou, A. Cuzol, S. Gorthi, E. Mémin.

    Weighted Ensemble Transform Kalman Filter for Image Assimilation, in: TellusA, January 2013, vol. 65, no 18803.
  • 50H. Choi, P. Moin, J. Kim.

    Direct numerical simulation of turbulent flow over riblets, in: Journal of Fluid Mechanics, 1993, vol. 255, pp. 503–539.
  • 51T. Corpetti, E. Mémin.

    Stochastic Uncertainty Models for the Luminance Consistency Assumption, in: IEEE Trans. Image Processing, 2012, vol. 21, no 2, pp. 481–493.
  • 52G. Evensen.

    Sequential data assimilation with a non linear quasi-geostrophic model using Monte Carlo methods to forecast error statistics, in: J. Geophys. Res., 1994, vol. 99 (C5), no 10, pp. 143–162.
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  • 54J. Favier, A. Kourta, G. Leplat.

    Control of flow separation on a wing profile using PIV measurements and POD analysis, in: IUTAM Symposium on Flow Control and MEMS, London, UK, September 19-22, 2006.
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    Optimal energy growth and optimal control in swept Hiemenz flow, in: J. Fluid Mech., 2006, vol. 566, pp. 11–45.
  • 57B. Horn, B. Schunck.

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  • 58F.-X. Le Dimet, O. Talagrand.

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  • 60L. Mathelin, O. Le Maître.

    Robust control of uncertain cylinder wake flows based on robust reduced order models, in: Computer and Fluids, 2009, vol. 38, pp. 1168–1182.
  • 61B. Protas, J. Wesfreid.

    Drag force in the open-loop control of the cylinder wake in the laminar regime, in: Physics of Fluids, February 2002, vol. 14, no 2, pp. 810–826.
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    Boundary layer flow control by periodic addition of momentum, in: 4th AIAA Shear Flow Control Conference, USA, June 29-July 2, 1997.