Numerical Analysis and Scientific Computing

Numerical Analysis and Scientific Computing

Centre International de Rencontres Mathématiques via YouTube Direct link

Anne de Bouard: Inhomogeneities and temperature effects in Bose-Einstein condensates

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16 of 212

Anne de Bouard: Inhomogeneities and temperature effects in Bose-Einstein condensates

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Numerical Analysis and Scientific Computing

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  1. 1 Pierre Alliez : Robust shape reconstruction through optimal transportation
  2. 2 Philippe Helluy: Discontinuous Galerkin solver design on hybrid computers
  3. 3 Anthony Nouy: Adaptive low-rank approximations for stochastic and parametric equations [...]
  4. 4 Victor Calo: Multiscale model reduction for flows in heterogeneous porous media
  5. 5 Gabriel Stoltz: An introduction to molecular dynamics
  6. 6 Martin Vohralík: Adaptive inexact Newton methods and their application to multi-phase flows
  7. 7 Tim Sullivan: Brittleness and robustness of Bayesian inference for complex systems
  8. 8 Céline Grandmont: Mathematical and numerical analysis of some fluid structure interaction problems 1
  9. 9 Céline Grandmont: Mathematical and numerical analysis of some fluid structure interaction problems 2
  10. 10 Céline Grandmont: Mathematical and numerical analysis of some fluid structure interaction problems 3
  11. 11 Céline Grandmont: Mathematical and numerical analysis of some fluid structure interaction problems 4
  12. 12 Carlo Barenghi: Classical and non-classical flows of superfluids
  13. 13 Didier Smets: Leapfrogging for the axisymmetric Gross-Pitaevskii equation
  14. 14 Natalia Berloff: Polariton graph simulators
  15. 15 Mechthild Thalhammer: High-order Magnus integrators for non-autonomous linear evolution equations
  16. 16 Anne de Bouard: Inhomogeneities and temperature effects in Bose-Einstein condensates
  17. 17 Kees Vuik: Krylov subspace solvers and preconditioners
  18. 18 Matthew Knepley: The Portable Extensible Toolkit for Scientific Computing
  19. 19 Frédéric Nataf: Domain decomposition, hybrid methods, coarse space corrections
  20. 20 Martin Gander: Time parallel time integration
  21. 21 Jack Dongarra: Algorithms for future emerging technologies
  22. 22 Jean-François Méhaut: Overview of architectures and programming language for parallel computing
  23. 23 Frédéric Desprez: OpenCL introduction
  24. 24 François Broquedis: A gentle introduction to parallel programming using OpenMP
  25. 25 Yvon Maday: Reduced basis methods
  26. 26 Frédéric Hecht: Tutorial with Freefem++
  27. 27 Sophie Ricci: Data assimilation training course @ CEMRACS: Introduction and variantional algorithms
  28. 28 Vivien Mallet: Introduction to data assimilation: Kalman filters and ensembles
  29. 29 Christophe Prud'homme: High performance computing with Feel++: applications and numerical methods
  30. 30 Pascal Hénon: Linear solvers for reservoir simulation
  31. 31 Francois-Xavier Roux: Efficient iterative solvers: FETI methods with multiple search directions
  32. 32 Philippe Ricoux: Multiple applications of high performance computing and numerical simulations...
  33. 33 Martin Vohralik: A posteriori error estimates and solver adaptivity in numerical simulations
  34. 34 Anthony Patera: Parametrized model order reduction for component-to-system synthesis
  35. 35 Pascal Omnes: Optimized Schwarz waveform relaxation methods: theory and applications
  36. 36 Fabrice Voitus: A discussion about the impact of scalability constraint on the design of ...
  37. 37 Mélanie Rochoux: Data-driven wildfire behavior modeling
  38. 38 Annabelle Collin: Modeling and data assimilation in cardiac electrophysiology
  39. 39 Thomas Dubos: High performance climate modelling : mimetic finite differences, and beyond ?
  40. 40 Dominique Chapelle: Direct and inverse biomechanical modeling of the heart
  41. 41 François Alouges : The sparse cardinal sine decomposition and applications
  42. 42 Greg Fasshauer: Some recent insights into computing with positive definite kernels
  43. 43 Maria Charina: Algebraic multigrid and subdivision
  44. 44 Ole Christensen: The unitary extension principle on LCA groups
  45. 45 Angela Kunoth: 25+ Years of Wavelets for PDEs
  46. 46 Hartmut Prautzsch: Spherical Splines
  47. 47 Peter Bürgisser: Condition: the geometry of numerical algorithms - Lecture 2
  48. 48 Peter Bürgisser: Condition: the geometry of numerical algorithms - Lecture 1
  49. 49 Sylvie Boldo : Arithmétique à virgule flottante : plaie ou terrain de jeu ?
  50. 50 Jean-Michel Morel: Detection theory and novelty filters
  51. 51 Yves Achdou: Numerical methods for mean field games - Introduction to the system of PDEs and...
  52. 52 Yves Achdou: Numerical methods for mean field games - Monotone finite difference schemes
  53. 53 Yves Achdou: Numerical methods for mean field games - Variational MFG and related algorithms for...
  54. 54 Mireille Bossy: Particle algorithm for McKean SDE : a short review on numerical analysis
  55. 55 Dan Crisan: Cubature methods and applications
  56. 56 Gilles Pagès: Optimal vector Quantization: from signal processing to clustering and ...
  57. 57 Jean-David Benamou: Dynamic formulations of Optimal Transportation and variational MFGs
  58. 58 Raúl Tempone: Adaptive strategies for Multilevel Monte Carlo
  59. 59 Plamen Turkedjiev: Least squares regression Monte Carlo for approximating BSDES and semilinear PDES
  60. 60 Raúl Tempone: Multilevel and Multi-index Monte Carlo methods for the McKean-Vlasov equation
  61. 61 Julia Charrier: Subsurface flow with uncertainty : applications and numerical analysis issues
  62. 62 Olivier Le Maître: Global Sensitivity Analysis in Stochastic Systems
  63. 63 Stefano Marelli: Metamodels for uncertainty quantification and reliability analysis
  64. 64 Benjamin Jourdain: The Metropolis Hastings algorithm: introduction and optimal scaling of...
  65. 65 Denis Belomestny: Projected particle methods for solving McKean Vlasov SDEs
  66. 66 Stefano De Marco: Some asymptotic results about American options and volativity
  67. 67 Ludovic Goudenège: Splitting algorithm for nested events
  68. 68 Mathieu Laurière: Mean field type control with congestion
  69. 69 Jérôme Lelong : Introduction to HPC - MPI : Design of parallel program and MPI
  70. 70 Jérôme Lelong : Introduction to HPC, Random generation and OpenMP
  71. 71 Emmanuel Gobet : Forward and backward simulation of Euler scheme
  72. 72 Thierry Sousbie: ColDICE: a parallel Vlasov-Poisson solver using moving adaptative simplicial [...]
  73. 73 ​Hans Z. Munthe-Kaas: Symmetry and computation (a few of my favourite things)
  74. 74 Ari Stern: Hybrid finite element methods preserving local symmetries and conservation laws
  75. 75 Evelyne Hubert: Invariants of ternary forms under the orthogonal group
  76. 76 Luigi Preziosi: Multi-level mathematical models for cell migration in dense fibrous environments
  77. 77 Emmanuel Maitre: Diffusion redistanciation schemes, Willmore problem and red blood cells
  78. 78 Arnaud Guyader: Rare event simulation for molecular dynamics
  79. 79 Manon Michel: From cluster algorithms to PDMP algorithms: a Monte Carlo story of symmetry...
  80. 80 Kurt Kremer: Multiscale modeling for soft matter - Perspectives and challenges
  81. 81 Ulugbek Kamilov: Signal processing for nonlinear diffractive imaging
  82. 82 Ben Adcock: Compressed sensing and high-dimensional approximation: progress and challenges
  83. 83 Michael E. Davies: Inexact gradient projection and fast data driven compressed sensing
  84. 84 Marcelo Pereyra: Bayesian inference and mathematical imaging - Lecture 2: Markov chain Monte Carlo
  85. 85 Marcelo Pereyra: Bayesian inference and mathematical imaging - Lecture 3
  86. 86 Marcelo Pereyra: Bayesian inference and mathematical imaging - Lecture 4: mixture...
  87. 87 Marcelo Pereyra: Bayesian inference and mathematical imaging - Lecture 1: Bayesian analysis...
  88. 88 ​ ​Tanja Tarvainen: ​Modelling of errors in photoacoustic tomography
  89. 89 Wim Martens: Graph data management – lecture 2
  90. 90 Wim Martens: Graph data management – lecture 1
  91. 91 Nicole Schweikardt: Databases and descriptive complexity – lecture 1
  92. 92 Nicole Schweikardt: Databases and descriptive complexity – lecture 2
  93. 93 Robert Eymard: Gradient Discretisations: Tools and Applications
  94. 94 Erik Burman: Combining cut element methods and hybridization
  95. 95 Donatella Marini: Virtual element approximation of magnetostatic
  96. 96 Jérôme Bonelle: Polyhedral discretizations for industrial applications
  97. 97 Simone Göttlich: Traffic flow models with non-local flux and extensions to networks
  98. 98 Claire Chainais-Hillairet: Finite volume methods for dissipative problems - Lecture 3
  99. 99 Claire Chainais-Hillairet: Finite volume methods for dissipative problems - Lecture 2
  100. 100 Claire Chainais-Hillairet: Finite volume methods for dissipative problems - Lecture 1
  101. 101 Claire Chainais-Hillairet: Nonlinear free energy diminishing schemes for convection-diffusion...
  102. 102 Laura Grigori: Challenges in achieving scalable and robust linear solvers
  103. 103 Robert Scheichl: Generalised finite elements: domain decomposition, optimal local approximation...
  104. 104 Andy Wathen: Parallel preconditioning for time-dependent PDEs and PDE control
  105. 105 Valeria Simoncini: Computational methods for large-scale matrix equations and application to PDEs
  106. 106 Martin J. Gander: Multigrid and Domain Decomposition: Similarities and Differences
  107. 107 Jan Giesselmann: Relative entropy for the Euler-Korteweg system with non-monotone pressure
  108. 108 Vivien Kendon: How to compute using quantum walks
  109. 109 Berit Stensønes: Sup-norm estimates for $\overline{\partial }$ in $\mathbb{C}^{3}$
  110. 110 Hervé Isambert: Learning interpretable networks from multivariate information in biological and...
  111. 111 Edda Klipp: Cell processes in space and time -- exemplified with yeast mating
  112. 112 Giray Ökten: Number sequences for simulation - lecture 1
  113. 113 Giray Ökten: Number sequences for simulation - lecture 2
  114. 114 Giray Ökten: Derivative pricing, simulation from non-uniform distributions - lecture 3
  115. 115 Gunther Leobacher: Quasi Monte Carlo Methods and their Applications
  116. 116 Gunther Leobacher: Stochastic Differential Equations
  117. 117 Shi Jin: Efficient Numerical Methods for Particle Systems - lecture 2
  118. 118 Shi Jin: Asymptotic preserving methods for multi-scale physical problems - lecture 1
  119. 119 Paola Boito: Topics in structured linear algebra - lecture 2
  120. 120 Paola Boito: Topics in structured linear algebra - lecture 1
  121. 121 Weizhu Bao: Collective dynamics of quantized vortices in superfluidity and superconductivity
  122. 122 Jingwei Hu: New stability and convergence proof of the Fourier-Galerkin spectral method for the...
  123. 123 Mohammed Lemou: Highly-oscillatory evolution equations: averaging and numerics
  124. 124 Li Wang: An asymptotic preserving method for Levy Fokker Planck equation with fractional...
  125. 125 Martin Frank: Dynamical low-rank approximation for radiation transport
  126. 126 Julian Adamek: Relativistic simulations for cosmology
  127. 127 Chi-Wang Shu: Stability of time discretizations for semi-discrete high order schemes for...
  128. 128 Katharina Kormann: A geometric electromagnetic particle in cell method on staggered grids
  129. 129 Fengyan Li: A reduced basis method for radiative transfer equation
  130. 130 Tony Lelièvre: How to compute transition times?
  131. 131 Claudia Schillings: Bayesian data assimilation and filtering - lecture 2
  132. 132 Olivier Lafitte: Coupling models instead of coupling codes: two toy examples
  133. 133 Anthony Nouy: Approximation and learning with tree tensor networks - Lecture 2
  134. 134 Anthony Nouy: Approximation and learning with tree tensor networks - Lecture 1
  135. 135 Albert Cohen: Theory of approximation of hight-dimensional functions - lecture 2
  136. 136 Tony Lelièvre: Molecular dynamics algorithms: numerical and mathematical analysis
  137. 137 Ludovic Berthier: Monte carlo simulations for systems with glassy dynamics
  138. 138 Martin Gander: On the invention of iterative methods for linear systems
  139. 139 Gérard Meurant: Detection and correction of silent errors in the conjugate gradient algorithm
  140. 140 Jesús María Sanz-Serna: Gauss's Gaussian quadrature
  141. 141 Lothar Reichel: Approximation of Stieltjes matrix functions by rational Gauss-type quadrature rules
  142. 142 Yousef Saad: Subspace iteration and variants, revisited
  143. 143 Irène Gamba: Quasilinear diffusion of magnetized fast electrons in a mean field of quasi-particle...
  144. 144 Cory Hauck: Approximate entropy-based moment closures
  145. 145 Mioara Joldes: Validated symbolic-numerci algorithms and practical applications in aerospace
  146. 146 Magali Ribot: Models from mixture theory for biofilm growth
  147. 147 Edriss Titi: Mathematical analysis of geophysical models
  148. 148 Silke Glas: Symplectic model reduction of Hamiltonian systems on nonlinear manifolds
  149. 149 Stefano Stramigioli: Dual field port-Hamiltonian systems
  150. 150 Elena Celledoni: Deep learning of diffeomorphisms for optimal reparametrizations of shapes
  151. 151 Mats Gustafsson: Bandwidth bounds based on Herglotz-Nevanlinna functions and optimization
  152. 152 Patrick Joly: Long time behaviour of the solution of Maxwell’s equations in dissipative Lorentz...
  153. 153 Kristin Swanson: Every patient deserves their own equation: Sex, drugs and radiomics of brain Cancer
  154. 154 Barbara Kaltenbacher: Imaging with nonlinear and fractionally damped waves
  155. 155 Jinchao Xu: A Mathematical Introduction to Deep Learning
  156. 156 Andy Wathen: Preconditioning for Parallel-in-time
  157. 157 Olga Mula Hernandez: PinTS cheme using time as a parameter
  158. 158 Felix Kwok: Analysis of a Three-Level Variant of Parareal
  159. 159 Gabriele Ciaramella : Onwaveform-relaxation methods for wave-type equations
  160. 160 Giacomo Dimarco: Numerical methods and uncertainty quantificationfor kinetic equations - lecture 2
  161. 161 Giacomo Dimarco: Numerical methods and uncertainty quantificationfor kinetic equations - lecture 1
  162. 162 Victorita Dolean: An introduction to domain decomposition methods - lecture 2
  163. 163 Victorita Dolean: An introduction to domain decomposition methods - lecture1
  164. 164 Stefan Volkwein: Introduction to PDE-constrained optimization - lecture 2
  165. 165 Stefan Volkwein: Introduction to PDE-constrained optimization - lecture 1
  166. 166 Johannes Söding : Fast structure and positional ortholog searching and viral metagenome assembly
  167. 167 Burkhard Rost : Artificial Intelligence captures language of life written in proteins
  168. 168 Marylou Gabrié: Enhancing sampling with learned transport maps
  169. 169 Andrea Beck: Towards data-driven high fidelity CFD - Lecture 1
  170. 170 Andrea Beck: Towards data-driven high fidelity CFD - Lecture 3
  171. 171 Andrea Beck: Towards data-driven high fidelity CFD - Lecture 2
  172. 172 Leonardo Zepeda-Núñez : Data-driven latent representations for time-dependent problems - Lecture 1
  173. 173 Leonardo Zepeda-Núñez : Data-driven latent representations for time-dependent problems - Lecture 2
  174. 174 Leonardo Zepeda-Núñez : Data-driven latent representations for time-dependent problems - Lecture 3
  175. 175 Siddhartha Mishra: Learning operators - Lecture 1
  176. 176 Siddhartha Mishra: Learning operators - Lecture 2
  177. 177 Siddhartha Mishra: Learning operators - Lecture 3
  178. 178 Jinchao Xu: Finite neuron method - lecture 2
  179. 179 Jinchao Xu: Finite neuron method - lecture 3
  180. 180 Jinchao Xu: Finite neuron method - lecture 1
  181. 181 Olga Mula: Linear and nonlinear schemes for forward model reduction and inverse problems - Lecture 3
  182. 182 Olga Mula: Linear and nonlinear schemes for forward model reduction and inverse problems - Lecture 2
  183. 183 Olga Mula: Linear and nonlinear schemes for forward model reduction and inverse problems - Lecture 1
  184. 184 Nicolas Chopin: An introduction to state-space models, particle filters, and Sequential...-Lecture 1
  185. 185 Nicolas Chopin: An introduction to state-space models, particle filters, and Sequential...-Lecture 2
  186. 186 Benjamin Jourdain : Numerical methods for SDEs with singular coefficients - Lecture 2
  187. 187 Benjamin Jourdain : Numerical methods for SDEs with singular coefficients - Lecture 1
  188. 188 Benjamin Jourdain : Numerical methods for SDEs with singular coefficients - Lecture 3
  189. 189 Maarten Bullynck: The crossing paths of Mandelbrot and Schützenberger: an episode of crossovers...
  190. 190 Wolfgang Arendt: Parabolic Maximal Regularity Applied to Diffusion Networks
  191. 191 Dave Hewett: Numerical quadrature for singular integrals over self-similar measures on fractal sets
  192. 192 Dejan Slepčev: Gradient flows for sampling and their deterministic interacting particle (...)
  193. 193 Barbara Gris: An implicit formulation for incorporating different priors into a deformation model
  194. 194 Yousef Saad: The linear algebra of Large Language Models
  195. 195 Lothar Reichel: Convergence analysis and parameter choice for the iterated Arnoldi-Tikhonov method
  196. 196 Anne Greenbaum: When is the resolvent like a rank one matrix ?
  197. 197 Martin Gander: What is new in domain decomposition ?
  198. 198 Tobias Mai : The Fuglede-Kadison determinant of matrix-valued semicircular elements and (...)
  199. 199 Julie Delon: Wasserstein barycenters for generic transport costs
  200. 200 Virginie Ehrlacher: New dynamical low-complexity approximations for the Schrödinger equation
  201. 201 Maria-Lucia Sampoli: Hierarchical matrices for 3D Helmholtz problems in multi-patch IgA-BEM setting
  202. 202 Moritz Frewein: Introduction to the TexTOM
  203. 203 Moritz Frewein: Basics in Texture Analysis
  204. 204 Francois Charton: Symbolic language models: applications and interpretability - lecture 2
  205. 205 Francois Charton: Symbolic language models: applications and interpretability - lecture 1
  206. 206 Marc Moreno Maza: Polyhedral sets, lattice points, optimizing compilers and computer... - lecture 2
  207. 207 Marc Moreno Maza: Polyhedral sets, lattice points, optimizing compilers and computer... - lecture 1
  208. 208 Nana Liu: Quantum simulation of partial differential equations via Schrodingerisation - Lecture 2
  209. 209 Nana Liu: Quantum simulation of partial differential equations via Schrodingerisation - Lecture 1
  210. 210 Thomas Ayral: Paradigms for the algorithms on different technologies - Lecture 2
  211. 211 Thomas Ayral: Paradigms for the algorithms on different technologies - Lecture 1
  212. 212 Amine Marrakchi: Strongly ergodic equivalence relations and full factors

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