Parties d'ouvrages collectifs (2)
1.
Fest, J.-B., Heikkilä, T., Loris, I., Martin, S., Ratti, L., Rebegoldi, S., & Sarnighausen, G. (2024). On a fixed-point continuation method for a convex optimization problem. In Advanced Techniques in Optimization for Machine learning and Imaging. Springer. Articles dans des revues avec comité de lecture (44)
3.
Bonettini, S., Loris, I., Porta, F., Prato, M., & Rebegoldi, S. (2017). On the convergence of a linesearch based proximal-gradient method for nonconvex optimization. Inverse problems, 33(5), 055005. doi:10.1088/1361-6420/aa5bfd5.
Prato, M., Bonettini, S., Loris, I., Porta, F., & Rebegoldi, S. (2016). On the constrained minimization of smooth Kurdyka-Łojasiewicz functions with the scaled gradient projection method. Journal of physics. Conference series, 756(1), 012001. doi:10.1088/1742-6596/756/1/0120018.
Charléty, J., Voronin, S., Nolet, G., Loris, I., Simons, F., Sigloch, K., & Daubechies, I. (2013). Global seismic tomography with a sparsity constraint: comparison with smoothing and damping regularization. Journal of Geophysical Research (Solid Earth), 118, 4887-4899. doi:10.1002/jgrb.50326