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Julia Novo
Julia Novo
Catedrática UAM
在 uam.es 的电子邮件经过验证
标题
引用次数
引用次数
年份
Linearly implicit Runge–Kutta methods for advection–reaction–diffusion equations
MP Calvo, J De Frutos, J Novo
Applied Numerical Mathematics 37 (4), 535-549, 2001
2152001
Postprocessing the Galerkin method: a novel approach to approximate inertial manifolds
B García-Archilla, J Novo, ES Titi
SIAM journal on numerical analysis 35 (3), 941-972, 1998
1281998
Error analysis of the SUPG finite element discretization of evolutionary convection-diffusion-reaction equations
V John, J Novo
SIAM journal on numerical analysis 49 (3), 1149-1176, 2011
1262011
Finite elements for scalar convection-dominated equations and incompressible flow problems: a never ending story?
V John, P Knobloch, J Novo
Computing and Visualization in Science 19, 47-63, 2018
942018
An approximate inertial manifolds approach to postprocessing the Galerkin method for the Navier-Stokes equations
B García-Archilla, J Novo, E Titi
Mathematics of Computation 68 (227), 893-911, 1999
901999
Analysis of the grad-div stabilization for the time-dependent Navier–Stokes equations with inf-sup stable finite elements
J de Frutos, B García-Archilla, V John, J Novo
Advances in Computational Mathematics 44, 195-225, 2018
842018
Grad-div stabilization for the evolutionary Oseen problem with inf-sup stable finite elements
J de Frutos, B García-Archilla, V John, J Novo
Journal of Scientific Computing 66 (3), 991-1024, 2016
762016
On (essentially) non-oscillatory discretizations of evolutionary convection–diffusion equations
V John, J Novo
Journal of Computational Physics 231 (4), 1570-1586, 2012
612012
The postprocessed mixed finite-element method for the Navier--Stokes equations
B Ayuso, B García-Archilla, J Novo
SIAM Journal on Numerical Analysis 43 (3), 1091-1111, 2005
522005
A robust SUPG norm a posteriori error estimator for stationary convection–diffusion equations
V John, J Novo
Computer Methods in Applied Mechanics and Engineering 255, 289-305, 2013
492013
Uniform in Time Error Estimates for a Finite Element Method Applied to a Downscaling Data Assimilation Algorithm for the Navier--Stokes Equations
B García-Archilla, J Novo, ES Titi
SIAM Journal on Numerical Analysis 58 (1), 410-429, 2020
462020
A Spectral Element Method for the Navier--Stokes Equations with Improved Accuracy
J De Frutos, J Novo
SIAM Journal on Numerical Analysis 38 (3), 799-819, 2000
422000
An adaptive SUPG method for evolutionary convection–diffusion equations
J de Frutos, B García-Archilla, V John, J Novo
Computer Methods in Applied Mechanics and Engineering 273, 219-237, 2014
372014
On the conduction band polarization in metallic systems with a periodic array of localized magnetic moments
A Hernando, JM Rojo, JC Gómez Sal, JM Novo
Journal of applied physics 79 (8), 4815-4817, 1996
361996
On the convergence order of the finite element error in the kinetic energy for high Reynolds number incompressible flows
B García-Archilla, V John, J Novo
Computer Methods in Applied Mechanics and Engineering 385, 114032, 2021
332021
A postprocessed Galerkin method with Chebyshev or Legendre polynomials
J de Frutos, B García-Archilla, J Novo
Numerische Mathematik 86, 419-442, 2000
332000
Error analysis of non inf-sup stable discretizations of the time-dependent Navier–Stokes equations with local projection stabilization
J De Frutos, B García-Archilla, V John, J Novo
IMA Journal of Numerical Analysis 39 (4), 1747-1786, 2019
312019
Error analysis of proper orthogonal decomposition stabilized methods for incompressible flows
J Novo, S Rubino
SIAM Journal on Numerical Analysis 59 (1), 334-369, 2021
292021
Efficient methods using high accuracy approximate inertial manifolds
J Novo, ES Titi, S Wynne
Numerische Mathematik 87, 523-554, 2001
292001
Error analysis of fully discrete mixed finite element data assimilation schemes for the Navier-Stokes equations
B García-Archilla, J Novo
Advances in Computational Mathematics 46 (4), 61, 2020
262020
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