(5) Peypouquet, J.; Cortild, D. Introduction to Optimization. Lecture Notes (2024 version).
(4) Peypouquet, J. Convex analysis. Lecture Notes (2024 version).
(3) Peypouquet, J. Evolution equations. Lecture Notes (2024 version).
(2) Peypouquet, J. Convex optimization in normed spaces: Theory, methods and examples. With a foreword by Hedy Attouch. Springer Briefs in Optimization. Springer, Cham, 2015. xiv+124 pp. ISBN: 978-3-319-13709-4. DOI: 10.1007/978-3-319-13710-0.
(1) Peypouquet, J. OptimizaciĂłn y sistemas dinĂĄmicos. Ediciones IVIC, 2013, pp viii+84. ISBN 978-980-261-142-3.
(43) Garrigos, G.; Cortild, D.; Ketels, L.; Peypouquet, J. Last-Iterate Complexity of SGD for Convex and Smooth Stochastic Problems. [PREPRINT]Â Â
(42) Wang, Z.; Peypouquet, J. Convergence Rate Analysis for Monotone Accelerated Proximal Gradient Method. Â [PREPRINT]
(41) Maulén, J.; Guo, H.; Peypouquet, J. A continuous-time model to interpolate between speed and function value restart in accelerated first order methods. [PREPRINT]
(40) Cortild, D.; Ketels, L.; Peypouquet, J.; Garrigos, G. New Tight Bounds for SGD without Variance Assumption: A Computer-Aided Lyapunov Analysis. [PREPRINT]
(39) Qu, S.; Staudigl, M.; Peypouquet, J. Asymptotic behavior of penalty dynamics for constrained variational inequalities. [PREPRINT]
(38) Wang, Z.; Peypouquet, J. Fast convex optimization via inertial systems with asymptotically vanishing viscosity and Hessian-driven damping. Â [PREPRINT]
(37) Apidopoulos, V.; Molinari, C.; Peypouquet, J.; Villa, S. Preconditioned primal-dual dynamics in convex optimization: non-ergodic convergence rates. [PREPRINT]
(36) Wang, Z.; Peypouquet, J. Accelerated Gradient Methods via Inertial Systems with Hessian-driven Damping. [PREPRINT]
(35) Guo, H.; Maulén, J.; Peypouquet, J. A Speed Restart Scheme for a Dynamical System with Hessian-driven Damping. To appear in Communications in Optimization Theory. [PREPRINT]
(35) Cortild, D.; Delplancke, C.; Oudjane, N.; Peypouquet, J. Global Optimization Algorithm through High-Resolution Sampling [Open Access]. Transactions on Machine Learning Research (2025).
(34) Cortild, D.; Peypouquet, J. Krasnoselskii-Mann Iterations: Inertia, Perturbations and Approximation [Open Access]. Journal of Optimization Theory and Applications 240, 35 (2025).
(33) Fierro, J.; Maulén, J.; Peypouquet, J. Inertial Krasnoselskii-Mann iterations [Open Access]. Set-Valued Var. Anal 32, 10 (2024).
(32) MaulĂ©n, J.; Peypouquet, J. A speed restart scheme for a dynamics with Hessian-driven damping [Open Access]. Journal of Optimization Theory and Applications 199, 831â855 (2023).Â
(31) Dunstan, J.; Villena, F.; Hoyos, J.P.; Riquelme, V.; Royer, M.; RamĂrez, H.; Peypouquet, J. Predicting no-show appointments in a pediatric hospital in Chile using machine learning [Open Access]. Health Care Management Science 26, 313-329 (2023).Â
(30) Contreras, A.; Peypouquet, J. Forward-backward approximation of nonlinear semigroups in finite and infinite horizon. Communications on Pure and Applied Analysis 20 (2021), no. 5, 1893-1906. [PREPRINT]
(29) Molinari, C; Peypouquet, J.; RoldĂĄn, F. Alternating forward-backward splitting for linearly constrained optimization problems. Optimization Letters 14 (2020), 1071-1088. [PREPRINT]
(28) Attouch, H.; Peypouquet, J. Convergence rate of proximal inertial algorithms associated with Moreau envelopes of convex functions. In: Bauschke H., Burachik R., Luke D. (eds) Splitting Algorithms, Modern Operator Theory, and Applications (2019). Springer, Cham. [PREPRINT]
(27) Contreras, A.; Peypouquet, J. Asymptotic equivalence of evolution equations governed by cocoercive operators and their forward discretizations. Journal of Optimization Theory & Applications 182 (2019), no. 1, 30-48. [PREPRINT]
(26) Attouch, H.; Peypouquet, J. Convergence of inertial dynamics and proximal algorithms governed by maximally monotone operators. Mathematical Programming 174 (2019), no. 1-2, 391-432. [PREPRINT]
(25) Molinari, C; Peypouquet, J. Lagrangian penalization scheme with parallel forward-backward splitting. Journal of Optimization Theory & Applications 177 (2018), no. 2, 413-447. [PREPRINT]Â
(24) Attouch, H.; Chbani, Z.; Peypouquet, J.; Redont, P. Fast convergence of inertial dynamics and algorithms with asymptotic vanishing viscosity. Mathematical Programming 168 (2018), no. 1-2, 123-175. [PREPRINT]
(23) Attouch, H.; Peypouquet, J.; Redont, P. Backward-forward algorithms for structured monotone inclusions in Hilbert spaces. Journal of Mathematical Analysis and Applications 457 (2018), no. 2, 1095-1117. [PREPRINT]
(22) Lazar, M.; Molinari, C; Peypouquet, J. Optimal Control of parabolic equations by spectral decomposition. Optimization 66 (2017), no. 8, 1359-1381. [PREPRINT]
(21) Bolte, J.; Nguyen, T.-P.; Peypouquet, J.; Suter, B. From error bounds to the complexity of first-order descent methods for convex functions. Mathematical Programming 165 (2017), no. 2, 471-507. [PREPRINT]
(20) Attouch, H.; Peypouquet, J.; Redont, P. Fast convex optimization via inertial dynamics with Hessian driven damping. Journal of Differential Equations 261 (2016), no. 10, 5734-5783. [PREPRINT]
(19) Attouch, H; Peypouquet, J. The rate of convergence of Nesterovâs accelerated forward-backward method is actually faster than $1/k^2$. SIAM Journal on Optimization 26 (2016), no. 3, 1824-1834. [PREPRINT]
(18) Czarnecki, M.-O.; Noun, N.; Peypouquet, J. Splitting forward-backward penalty scheme for constrained variational problems. Journal of Convex Analysis 23 (2016), no. 2, 531-565. [PREPRINT]
(17) Jélvez, E.; Morales, N.; Nancel-Penard, P.; Peypouquet, J; Reyes, P. Aggregation heuristic for the open-pit block scheduling problem. European Journal of Operational Research 249 (2016), no. 3, 1169-1177. [PREPRINT]
(16) Gajardo, P.; Morales, C.; Peypouquet, J. Monotonicity beyond Minty and Kato on locally convex spaces. Journal of Mathematical Analysis and Applications 435 (2016), no. 2, 1701-1709. [PREPRINT]
(15) Briceño-Arias, L.-M.; Hoang, N.-D.; Peypouquet, J. Existence, stability and optimality for optimal control problems governed by maximal monotone operators. Journal of Differential Equations 260 (2016), no. 1, 733-757. [PREPRINT]
(14) Frankel, P.; Garrigos, G.; Peypouquet, J. Splitting methods with variable metric for KL functions and general convergence rates. Journal of Optimization Theory & Applications 165 (2015), no. 3, 874-900. [PREPRINT]
(13) Attouch, H.; Peypouquet, J.; Redont, P. A dynamical approach to an inertial forward-backward algorithm for convex minimization. SIAM Journal on Optimization 24 (2014), no. 1, 232-256. [PREPRINT]
(12) Noun, N.; Peypouquet, J. Forward-backward penalty scheme for constrained convex minimization without inf-compactness. Journal of Optimization Theory & Applications 158 (2013), no. 3, 787-795. [PREPRINT]
(11) Frankel, P.; Peypouquet, J. Lagrangian-penalization algorithm for constrained optimization and variational inequalities. Set-Valued and Variational Analysis 20 (2012), no. 2, 169-185. [PREPRINT]
(10) Peypouquet, J. Coupling the gradient method with a general exterior penalization scheme for convex minimization. Journal of Optimization Theory & Applications 153 (2012), no. 1, 123-138. [PREPRINT]
(9) Attouch, H.; Czarnecki, M.O.; Peypouquet, J. Coupling forward-backward with penalty schemes and parallel splitting for constrained variational inequalities. SIAM Journal on Optimization 21 (2011), no. 4, 1251-1274. [PREPRINT]
(8) Attouch, H.; Cabot, A.; Frankel, P.; Peypouquet, J. Alternating proximal algorithms for constrained variational inequalities. Application to domain decomposition for PDEâs. Nonlinear Analysis: Theory, Methods & Applications 74 (2011), no. 18, 7455-7473. [PREPRINT]
(7) Ălvarez F.; Peypouquet, J. A unified approach to the asymptotic almost-equivalence of evolution systems without Lipschitz conditions. Nonlinear Analysis: Theory, Methods & Applications 74 (2011), no. 11, 3440-3444. [PREPRINT]
(6) Attouch, H.; Czarnecki, M.O.; Peypouquet, J. Prox-penalization and splitting methods for constrained variational problems. SIAM Journal on Optimization 21 (2011), no. 1, 149-173. [PREPRINT]
(5) Ălvarez F.; Peypouquet, J. Asymptotic almost-equivalence of Lipschitz evolution systems in Banach spaces. Nonlinear Analysis: Theory, Methods & Applications 73 (2010), no. 9, 3018-3033. [PREPRINT]
(4) Peypouquet, J.; Sorin, S. Evolution equations for maximal monotone operators: asymptotic analysis in continuous and discrete time. Journal of Convex Analysis 17 (2010), no. 3-4, 1113-1163. [PREPRINT]
(3) Ălvarez, F.; Peypouquet, J. Asymptotic equivalence and Kobayashi-type estimates for nonautonomous monotone operators in Banach spaces. Discrete and Continuous Dynamical Systems 25 (2009), no. 4, 1109-1128. [PREPRINT]
(2) Peypouquet, J. Asymptotic convergence to the optimal value of diagonal proximal iterations in convex minimization. Journal of Convex Analysis 16 (2009), no. 1, 277-286. [PREPRINT]
(1) Cominetti, R.; Peypouquet, J.; Sorin, S. Strong asymptotic convergence of evolution equations governed by maximal monotone operators with Tikhonov regularization. Journal of Differential Equations 245 (2008), no. 12, 3753-3763. [PREPRINT]Â