Jean-Pierre Dussault

Financement

• Subvention. Solution numérique de modèles d'équilibre. Natural Sciences and Engineering Research Council (Ottawa, Canada). 29 000 $. (2021-2022).
  Numéro de subvention : RGPIN-2020-05559. Voir plus
• Subvention. Solutions numériques de modèles d'équilibre. Natural Sciences and Engineering Research Council (Ottawa, Canada). 120 000 $. (2015-2020).
  Numéro de subvention : RGPIN-2015-04741. Voir plus
• Subvention. Prédiction en séries chronologiques financières à l'aide de réseaux neuronaux récurrents. Natural Sciences and Engineering Research Council (Ottawa, Canada). 24 952 $. (2014-2015).
  Numéro de subvention : 466452-2014. Voir plus
• Subvention. Recalage en imagerie bio-médicale. Natural Sciences and Engineering Research Council (Ottawa, Canada). 24 937 $. (2013-2014).
  Numéro de subvention : 461874-2013. Voir plus
• Subvention. Planification et coordination d'actions en présence d'adversaires avec contraintes discrètes et continues. Fonds de Recherche du Québec – Nature et Technologies (Montreal, Canada). 15 000 $. (2013-2014).
  Numéro de subvention : 179331. Voir plus
• Subvention. Solution numérique de problèmes d'équilibre. Natural Sciences and Engineering Research Council (Ottawa, Canada). 95 000 $. (2009-2014).
  Numéro de subvention : 5491-2009. Voir plus
• Subvention. Laboratoire d'optimisation. Natural Sciences and Engineering Research Council (Ottawa, Canada). 25 227 $. (2006-2007).
  Numéro de subvention : grant.2787972. Voir plus
• Subvention. Solutions numérique de modèles d`équilibre. Natural Sciences and Engineering Research Council (Ottawa, Canada). 145 000 $. (2004-2009).
  Numéro de subvention : grant.2864887. Voir plus
• Subvention. Solutions numérique de modèles d`équilibre. Natural Sciences and Engineering Research Council (Ottawa, Canada). 126 000 $. (1999-2004).
  Numéro de subvention : grant.2938047. Voir plus
• Subvention. Solution numérique de modèles déquilibre. Natural Sciences and Engineering Research Council (Ottawa, Canada). 23 540 $. (1998-1999).
  Numéro de subvention : grant.2983352. Voir plus
• Subvention. Appareil graphique tri-dimensionnel. Natural Sciences and Engineering Research Council (Ottawa, Canada). 15 442 $. (1998-1999).
  Numéro de subvention : grant.2825202. Voir plus
• Subvention. Solution numérique de modèles d'équilibre. Natural Sciences and Engineering Research Council (Ottawa, Canada). 64 200 $. (1995-1998).
  Numéro de subvention : grant.2974016. Voir plus
• Subvention. Solution numérique de modèles d'équlibre et applications. Natural Sciences and Engineering Research Council (Ottawa, Canada). 45 000 $. (1992-1995).
  Numéro de subvention : grant.2932027. Voir plus
• Subvention. Solution numérique de modèles d'équilibre. Natural Sciences and Engineering Research Council (Ottawa, Canada). 8 000 $. (1991-1992).
  Numéro de subvention : grant.2985111. Voir plus
• Subvention. Appareil graphique ti-dimensionnel haute résolution. Natural Sciences and Engineering Research Council (Ottawa, Canada). 19 802 $. (1991-1992).
  Numéro de subvention : grant.2900913. Voir plus
• Subvention. Nouvelle approche pour l’optimisation quadratique sous contraintes de bornes. Mitacs (Vancouver, Canada).
  Numéro de subvention : grant.13958940. Voir plus
• Subvention. Planification et coordination d’actions en présence d’adversaires avec contraintes discrètes et continues. Mitacs (Vancouver, Canada).
  Numéro de subvention : grant.14480828. Voir plus

Publications

Articles

• Maxime Toussaint, Francis Loignon-Houle, Jean-Pierre Dussault, Roger Lecomte. (2026). Time-of-Flight Requirements to Mitigate Blurring Induced by Annihilation Photon Acollinearity. IEEE Transactions on Radiation and Plasma Medical Sciences. DOI
• Jean-Pierre Dussault, Mathieu Frappier, Jean Charles Gilbert. (2026). Polyhedral Newton-min algorithms for complementarity problems. Mathematical Programming. DOI
• Jean-Pierre Dussault, Jean Charles Gilbert, Baptiste Plaquevent-Jourdain. (2025). On the B-differential of the componentwise minimum of two affine vector functions. Mathematical Programming Computation. DOI
• Toussaint, M., Loignon-Houle, F., Auger, I., Lapointe, G., Dussault, J.-P., Lecomte, R. (2024). On the implementation of acollinearity in PET Monte Carlo simulations. Physics in Medicine and Biology. DOI
• Dussault, J.-P., Migot, T., Orban, D. (2024). Scalable adaptive cubic regularization methods. Mathematical Programming. DOI
• Dussault, J.-P., Gilbert, J.C. (2023). Exact computation of an error bound for the balanced linear complementarity problem with unique solution. Mathematical Programming. DOI
• Toussaint, M., Lecomte, R., Dussault, J.-P. (2021). Improvement of Spatial Resolution with Iterative PET Reconstruction Using Ultrafast TOF. IEEE Transactions on Radiation and Plasma Medical Sciences. DOI
• Dussault, J.P. (2020). A unified efficient implementation of trust-region type algorithms for unconstrained optimization. Infor. DOI
• Dussault, J.-P., Haddou, M., Kadrani, A., Migot, T. (2020). On Approximate Stationary Points of the Regularized Mathematical Program with Complementarity Constraints. Journal of Optimization Theory and Applications. DOI
• Dussault, J.-P., Frappier, M., Gilbert, J.C. (2019). A lower bound on the iterative complexity of the Harker and Pang globalization technique of the Newton-min algorithm for solving the linear complementarity problem. Euro Journal on Computational Optimization. DOI
• Toussaint, M., Loignon-Houle, F., Dussault, J.-P., Lecomte, R. (2019). Analytical model of DOI-induced time bias in ultra-fast scintillation detectors for TOF-PET. Physics in Medicine and Biology. DOI
• Dussault, J.-P., Haddou, M., Migot, T. (2019). Mathematical programs with vanishing constraints: constraint qualifications, their applications, and a new regularization method. Optimization. DOI
• Dussault, J.-P. (2018). ARCq: a new adaptive regularization by cubics. Optimization Methods and Software. DOI
• Dussault, J.-P. (2017). A note on robust descent in differentiable optimization. Operations Research Letters. DOI
• Landry, J.-F., Dussault, J.-P., Beaudry, E. (2016). A Straight Approach to Planning for 14.1 Billiards. IEEE Transactions on Computational Intelligence and AI in Games. DOI
• Kadrani, A., Dussault, J.P., Benchakroun, A. (2015). A globally convergent algorithm for MPCC. Euro Journal on Computational Optimization. DOI
• Kchouk, B., Dussault, J.-P. (2014). A new family of high-order directions for unconstrained optimization inspired by Chebyshev and Shamanskii methods. Optimization Methods and Software. DOI
• Kchouk, B., Dussault, J.-P. (2014). On per-iteration complexity of high order Chebyshev methods for sparse functions with banded Hessians. Numerical Algorithms. DOI
• Dussault, J.-P. (2014). Solving trajectory optimization problems via nonlinear programming: the brachistochrone case study. Optimization and Engineering. DOI
• Pomar, C., Pomar, J., Dubeau, F., Joannopoulos, E., Dussault, J.-P. (2014). The impact of daily multiphase feeding on animal performance, body composition, nitrogen and phosphorus excretions, and feed costs in growing-finishing pigs. Animal. DOI
• Landry, J.-F., Dussault, J.-P., Mahey, P. (2013). A heuristic-based planner and improved controller for a two-layered approach for the game of billiards. IEEE Transactions on Computational Intelligence and AI in Games. DOI
• Kchouk, B., Dussault, J.-P. (2013). The Chebyshev-Shamanskii Method for Solving Systems of Nonlinear Equations. Journal of Optimization Theory and Applications. DOI
• Landry, J.-F., Dussault, J.-P., Mahey, P. (2012). A robust controller for a two-layered approach applied to the game of billiards. Entertainment Computing. DOI
• Kchouk, B., Dussault, J.-P. (2012). High order halley type directions. International Journal of Pure and Applied Mathematics.
• Hamelin, B., Goussard, Y., Dussault, J.-P., Cloutier, G., Beaudoin, G., Soulez, G. (2010). Design of iterative ROI transmission tomography reconstruction procedures and image quality analysis. Medical Physics. DOI
• Kadrani, A., Dussault, J.-P., Benchakroun, A. (2009). A new regularization scheme for mathematical programs with complementarity constraints. SIAM Journal on Optimization. DOI
• Dussault, J.-P. (2009). Improved convergence order for augmented penalty algorithms. Computational Optimization and Applications. DOI
• El Afia, A., Benchakroun, A., Dussault, J.-P., El Yassini, K. (2008). Asymptotic analysis of the trajectories of the logarithmic barrier algorithm without constraint qualifications. RAIRO Operations Research. DOI
• Dussault, J.-P. (2008). Automatic differentiation and its use in optimization,La différentiation automatique et son utilisation en optimisation. RAIRO Operations Research. DOI
• Landry, J.-F., Dussault, J.-P. (2007). AI optimization of a billiard player. Journal of Intelligent and Robotic Systems Theory and Applications. DOI
• Dussault, J.P., Shen, H., Bandrauk, A. (2007). Penalty algorithms in Hilbert spaces. Acta Mathematica Sinica English Series. DOI
• Dussault, J.-P., Marcotte, P., Roch, S., Savard, G. (2006). A smoothing heuristic for a bilevel pricing problem. European Journal of Operational Research. DOI
• Dussault, J.-P., Hamelin, B. (2006). Robust descent in differentiable optimization using automatic finite differences. Optimization Methods and Software. DOI
• Dussault, J.-P. (2005). High-order Newton-penalty algorithms. Journal of Computational and Applied Mathematics. DOI
• Guèye, O.M., Dussault, J.-P., Mahey, P. (2005). Separable augmented Lagrangian algorithm with multidimensional scaling for monotropic programming. Journal of Optimization Theory and Applications. DOI
• Dussault, J.-P. (2004). Augmented non-quadratic penalty algorithms. Mathematical Programming. DOI
• Dussault, J.-P., Elafia, A. (2001). On the superlinear convergence order of the logarithmic barrier algorithm. Computational Optimization and Applications. DOI
• Dussault, J.P. (2000). Convergence of implementable descent algorithms for unconstrained optimization. Journal of Optimization Theory and Applications. DOI
• Dussault, J.-P. (1998). Augmented penalty algorithms. IMA Journal of Numerical Analysis. DOI
• Dussault, J.-P., Labrecque, D., L'Ecuyer, P., Rubinstein, R.Y. (1997). Combining the Stochastic Counterpart and Stochastic Approximation Methods. Discrete Event Dynamic Systems Theory and Applications. DOI
• Benchakroun, A., Dussault, J.-P., Mansouri, A. (1997). Un algorithme de points intérieurs pour un problème de programmation non-linéaire 1. Infor.
• Benchakroun, A., Dussault, J.-P., Mansouri, A. (1995). A two parameter mixed interior-exterior penalty algorithm. ZOR Zeitschrift Fur Operations Research Mathematical Methods of Operations Research. DOI
• Dussault, J.P., Gningue, Y. (1995). Unification of basic and composite nondifferentiable optimization. Mathematical Programming.
• Dussault, J.P., Gningue, Y. (1995). Unification of basic and composite nondifferentiable optimization. Mathematical Programming. DOI
• Shen, H., Dussault, J.-P., Bandrauk, A.D. (1994). Optimal pulse shaping for coherent control by the penalty algorithm. Chemical Physics Letters. DOI
• Cominetti, R., Dussault, J.P. (1994). Stable exponential-penalty algorithm with superlinear convergence. Journal of Optimization Theory and Applications. DOI
• Dussault, J.P., Fournier, G. (1993). On the convergence of the projected gradient method. Journal of Optimization Theory and Applications. DOI
• Marcotte, Patrice, Dussault, Jean-Pierre. (1989). Sequential linear programming algorithm for solving monotone variational inequalities. SIAM Journal on Control and Optimization. DOI
• Marcotte, P., Dussault, J.-P. (1987). A note on a globally convergent Newton method for solving monotone variational inequalities. Operations Research Letters. DOI
• Dussault, J.-P., Ferland, J.A., Lemaire, B. (1986). Convex quadratic programming with one constraint and bounded variables. Mathematical Programming. DOI

Chapitres de livre

• Joannopoulos, E., Dubeau, F., Dussault, J.-P., Pomar, C. (2015). Diet problems. International Series in Operations Research and Management Science. DOI
• Dussault, J.-P., Greenspan, M., Landry, J.-F., Leckie, W., Godard, M., Lam, J. (2009). Computational and robotic pool. Digital Sport for Performance Enhancement and Competitive Evolution Intelligent Gaming Technologies. DOI

Articles de conférence

• Dussault, J.-P., Haddou, M., Migot, T. (2021). The New Butterfly Relaxation Method for Mathematical Programs with Complementarity Constraints. Springer Proceedings in Mathematics and Statistics. DOI
• Toussaint, M., Lecomte, R., Dussault, J.-P. (2020). Annihilation Photon Acolinearity with Ultra-fast ToF-PET. 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference NSS Mic 2020. DOI
• Kadrani, A., Dussault, J.-P., Azizi, H. (2018). Convergence properties of a first order regularized-penalized method for mpcc. ACM International Conference Proceeding Series. DOI
• Toussaint, M., Dussault, J.-P., Lecomte, R. (2017). Comparison of two motion compensation models: Adding ordered subset into the Mix. 2016 IEEE Nuclear Science Symposium Medical Imaging Conference and Room Temperature Semiconductor Detector Workshop NSS Mic Rtsd 2016. DOI
• Toussaint, M., Dussault, J.-P., Lecomte, R. (2016). Revisiting motion compensation models in PET image reconstruction. Proceedings International Symposium on Biomedical Imaging. DOI
• Landry, J.-F., Dussault, J.-P., Beaudry, È. (2015). Improvements to the linear optimization models of patrol scheduling for mobile targets. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics. DOI
• Armand, P., Benoist, J., Dussault, J.-P. (2012). Local path-following property of inexact interior methods in nonlinear programming. Computational Optimization and Applications. DOI
• Landry, J.-F., Dussault, J.-P., Mahey, P. (2011). Billiards: An optimization challenge. ACM International Conference Proceeding Series. DOI
• Dussault, J.-P. (2011). Improved asymptotic analysis for SUMT methods. 2011 Federated Conference on Computer Science and Information Systems Fedcsis 2011.
• Hamelin, B., Goussard, Y., Dussault, J.-P. (2010). Comparison of optimization techniques for regularized statistical reconstruction in X-ray tomography. 2010 2nd International Conference on Image Processing Theory Tools and Applications Ipta 2010. DOI
• Hamelin, B., Goussard, Y., Gendron, D., Dussault, J.-P., Cloutier, G., Beaudoin, G., Soulez, G. (2008). Iterative CT reconstruction of real data with metal artifact reduction. 2008 5th IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings Isbi. DOI
• Dussault, J.-P., Landry, J.-F. (2007). Optimization of a billiard player - Tactical play. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics. DOI
• Hamelin, B., Goussard, Y., Dussault, J.-P. (2007). Penalized-likelihood region-of-interest CT reconstruction by local object supersampling. Annual International Conference of the IEEE Engineering in Medicine and Biology Proceedings. DOI
• Dussault, J.-P., Landry, J.-F. (2006). Optimization of a billiard player - Position play. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics. DOI
• Shen, H., Dussault, J.-P., Bandrauk, A.D. (1994). Augmented Lagrangian method for optimal laser control. Proceedings of SPIE the International Society for Optical Engineering. DOI
• Marcotte, P., Dussault, J.-P. (1985). MODIFIED NEWTON METHOD FOR SOLVING VARIATIONAL INEQUALITIES. Proceedings of the IEEE Conference on Decision and Control.

Autres contributions

Divers

• Toussaint, M., Loignon-Houle, F., Auger, É., Dussault, J.-P., Lecomte, R. (2023). A rewriting of the relation between the acolinearity of annihilation photons and their energy in the context of positron emission tomography. Arxiv.
• Toussaint, M., Loignon-Houle, F., Lecomte, R., Dussault, J.-P. (2021). Parameterizing the Angular Distribution of Emission: A Model for TOF-PET Low-Count Reconstruction. Arxiv.
• Dussault, J.-P., Orban, D. (2021). Scalable adaptive cubic regularization methods. Arxiv.