| A Discrete Data Assimilation Scheme for the Solutions of the Two-Dimensional Navier--Stokes Equations and Their Statistics C Foias, CF Mondaini, ES Titi SIAM Journal on Applied Dynamical Systems 15 (4), 2109-2142, 2016 | 112 | 2016 |
| Uniform-in-time error estimates for the postprocessing Galerkin method applied to a data assimilation algorithm CF Mondaini, ES Titi SIAM Journal on Numerical Analysis 56 (1), 78-110, 2018 | 56 | 2018 |
| Downscaling data assimilation algorithm with applications to statistical solutions of the Navier–Stokes equations A Biswas, C Foias, CF Mondaini, ES Titi Annales de l'Institut Henri Poincaré C, Analyse non linéaire 36 (2), 295-326, 2019 | 53 | 2019 |
| Abstract framework for the theory of statistical solutions AC Bronzi, CF Mondaini, RMS Rosa Journal of differential equations 260 (12), 8428-8484, 2016 | 43 | 2016 |
| Trajectory Statistical Solutions for Three-Dimensional Navier--Stokes-Like Systems AC Bronzi, CF Mondaini, RMS Rosa SIAM Journal on Mathematical Analysis 46 (3), 1893-1921, 2014 | 34 | 2014 |
| Fully discrete numerical schemes of a data assimilation algorithm: uniform-in-time error estimates HA Ibdah, CF Mondaini, ES Titi IMA Journal of Numerical Analysis 40 (4), 2584-2625, 2020 | 33 | 2020 |
| Uniform in time error estimates for fully discrete numerical schemes of a data assimilation algorithm HA Ibdah, CF Mondaini, ES Titi arXiv preprint arXiv:1805.01595, 2018 | 18 | 2018 |
| Mixing rates for Hamiltonian Monte Carlo algorithms in finite and infinite dimensions NE Glatt-Holtz, CF Mondaini Stochastics and Partial Differential Equations: Analysis and Computations, 1-74, 2021 | 12 | 2021 |
| On the accept–reject mechanism for Metropolis–Hastings algorithms N Glatt-Holtz, J Krometis, C Mondaini The Annals of Applied Probability 33 (6B), 5279-5333, 2023 | 9 | 2023 |
| Parallel MCMC Algorithms: Theoretical Foundations, Algorithm Design, Case Studies NE Glatt-Holtz, AJ Holbrook, JA Krometis, CF Mondaini arXiv preprint arXiv:2209.04750, 2022 | 6 | 2022 |
| Postprocessing Galerkin method applied to a data assimilation algorithm: a uniform in time error estimate CF Mondaini, ES Titi arXiv preprint arXiv:1612.06998, 2016 | 4 | 2016 |
| Entropy measures based method for the classification of protein domains into families and clans N Carels, CF Mondaini, RP Mondaini BIOMAT 2013: International Symposium on Mathematical and Computational …, 2014 | 3 | 2014 |
| Long-term accuracy of numerical approximations of SPDEs with the stochastic Navier-Stokes equations as a paradigm NE Glatt-Holtz, CF Mondaini arXiv preprint arXiv:2302.01461, 2023 | 2 | 2023 |
| On the locally self-similar blowup for the generalized SQG equation A Bronzi, R Guimarães, C Mondaini arXiv preprint arXiv:2401.10496, 2024 | | 2024 |
| Numerical approximation for invariant measures of the 2D Navier-Stokes equations CF Mondaini, N Glatt-Holtz 2020 Fall Central Sectional Meeting, 2020 | | 2020 |
| Uma Formulação Abstrata Para o Estudo de Soluções Estatísticas das Equações de Navier-Stokes CF Mondaini Universidade Federal do Rio de Janeiro, 2010 | | 2010 |
| Uniform-in-time numerical approximation of SPDEs: general result and application CF Mondaini 2023 Spring Southeastern Sectional Meeting, 0 | | |
| Mixing for Hamiltonian Monte Carlo in infinite dimensions CF Mondaini, N Glatt-Holtz 2020 Fall Western Virtual Sectional Meeting, 0 | | |
| 1. Accomplished works 1.1. Data Assimilation. The general idea of data assimilation is to obtain a good ap-proximation of the state of a certain physical system by combining … CF MONDAINI | | |
| 1. Current Achievements 1.1. Spatio-temporal discrete data assimilation. The general idea of data assimilation is to obtain a good approximation of the state of a certain … CF MONDAINI | | |
