Supremizer stabilization of POD-Galerkin approximation of parametrized Navier-Stokes equations
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Gianluigi Rozza | Alfio Quarteroni | Andrea Manzoni | Francesco Ballarin | A. Quarteroni | G. Rozza | A. Manzoni | F. Ballarin
[1] A. Quarteroni. Numerical Models for Differential Problems , 2009 .
[2] G. Karniadakis,et al. Stability and accuracy of periodic flow solutions obtained by a POD-penalty method , 2005 .
[3] Benjamin S. Kirk,et al. Library for Parallel Adaptive Mesh Refinement / Coarsening Simulations , 2006 .
[4] Stefan Volkwein,et al. Galerkin Proper Orthogonal Decomposition Methods for a General Equation in Fluid Dynamics , 2002, SIAM J. Numer. Anal..
[5] Ali H. Nayfeh,et al. On the stability and extension of reduced-order Galerkin models in incompressible flows , 2009 .
[6] Klaus-Jürgen Bathe,et al. The inf–sup condition and its evaluation for mixed finite element methods , 2001 .
[7] Jens Nørkær Sørensen,et al. Evaluation of Proper Orthogonal Decomposition-Based Decomposition Techniques Applied to Parameter-Dependent Nonturbulent Flows , 1999, SIAM J. Sci. Comput..
[8] Dominique Chapelle,et al. A Galerkin strategy with Proper Orthogonal Decomposition for parameter-dependent problems – Analysis, assessments and applications to parameter estimation , 2013 .
[9] Jean-Antoine Désidéri,et al. Stability Properties of POD–Galerkin Approximations for the Compressible Navier–Stokes Equations , 2000 .
[10] F. Brezzi,et al. A discourse on the stability conditions for mixed finite element formulations , 1990 .
[11] Harbir Antil,et al. Application of the Discrete Empirical Interpolation Method to Reduced Order Modeling of Nonlinear and Parametric Systems , 2014 .
[12] A. Quarteroni,et al. Numerical solution of parametrized Navier–Stokes equations by reduced basis methods , 2007 .
[13] C. Farhat,et al. On the Stability of Reduced-Order Linearized Computational Fluid Dynamics Models Based on POD and Galerkin Projection: Descriptor vs Non-Descriptor Forms , 2014 .
[14] Arthur Veldman,et al. Proper orthogonal decomposition and low-dimensional models for driven cavity flows , 1998 .
[15] Lucas Chesnel,et al. T-coercivity and continuous Galerkin methods: application to transmission problems with sign changing coefficients , 2013, Numerische Mathematik.
[16] Nadine Aubry,et al. The dynamics of coherent structures in the wall region of a turbulent boundary layer , 1988, Journal of Fluid Mechanics.
[17] K. Bathe,et al. The inf-sup test , 1993 .
[18] Charbel Farhat,et al. The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows , 2012, J. Comput. Phys..
[19] Gianluigi Rozza,et al. A reduced basis hybrid method for the coupling of parametrized domains represented by fluidic networks , 2012 .
[20] Ramon Codina,et al. Explicit reduced‐order models for the stabilized finite element approximation of the incompressible Navier–Stokes equations , 2013 .
[21] G. Rozza,et al. On the stability of the reduced basis method for Stokes equations in parametrized domains , 2007 .
[22] A. Quarteroni,et al. Shape optimization for viscous flows by reduced basis methods and free‐form deformation , 2012 .
[23] D. Malkus. Eigenproblems associated with the discrete LBB condition for incompressible finite elements , 1981 .
[24] Janet S. Peterson,et al. The Reduced Basis Method for Incompressible Viscous Flow Calculations , 1989 .
[25] Patrick Ciarlet,et al. T-coercivity: Application to the discretization of Helmholtz-like problems , 2012, Comput. Math. Appl..
[26] Gianluigi Rozza,et al. Reduced Order Methods for Modeling and Computational Reduction , 2013 .
[27] A. Quarteroni,et al. Model reduction techniques for fast blood flow simulation in parametrized geometries , 2012, International journal for numerical methods in biomedical engineering.
[28] N. Nguyen,et al. An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations , 2004 .
[29] A. Quarteroni,et al. A reduced computational and geometrical framework for inverse problems in hemodynamics , 2013, International journal for numerical methods in biomedical engineering.
[30] Karen Veroy,et al. Certified Reduced Basis Methods for Parametrized Saddle Point Problems , 2012, SIAM J. Sci. Comput..
[31] Juan Du,et al. Non-linear model reduction for the Navier-Stokes equations using residual DEIM method , 2014, J. Comput. Phys..
[32] Max Gunzburger,et al. POD and CVT-based reduced-order modeling of Navier-Stokes flows , 2006 .
[33] J. Weller,et al. Numerical methods for low‐order modeling of fluid flows based on POD , 2009 .
[34] Charles-Henri Bruneau,et al. Enablers for robust POD models , 2009, J. Comput. Phys..
[35] A. Patera,et al. Certified real‐time solution of the parametrized steady incompressible Navier–Stokes equations: rigorous reduced‐basis a posteriori error bounds , 2005 .
[36] A. Hay,et al. Local improvements to reduced-order models using sensitivity analysis of the proper orthogonal decomposition , 2009, Journal of Fluid Mechanics.
[37] Barry Lee,et al. Finite elements and fast iterative solvers: with applications in incompressible fluid dynamics , 2006, Math. Comput..
[38] Traian Iliescu,et al. Proper orthogonal decomposition closure models for turbulent flows: A numerical comparison , 2011, 1106.3585.
[39] M. Gunzburger,et al. Reduced-order modeling of time-dependent PDEs with multiple parameters in the boundary data , 2007 .
[40] John W. Peterson,et al. A high-performance parallel implementation of the certified reduced basis method , 2011 .
[41] S. Ravindran. A reduced-order approach for optimal control of fluids using proper orthogonal decomposition , 2000 .
[42] Gilbert Strang,et al. The application of quasi‐Newton methods in fluid mechanics , 1981 .
[43] Gianluigi Rozza,et al. Reduced basis approximation and a posteriori error estimation for Stokes flows in parametrized geometries: roles of the inf-sup stability constants , 2013, Numerische Mathematik.
[44] Gianluigi Rozza,et al. Model Order Reduction in Fluid Dynamics: Challenges and Perspectives , 2014 .
[45] Andrea Manzoni,et al. An efficient computational framework for reduced basis approximation and a posteriori error estimation of parametrized Navier–Stokes flows , 2014 .
[46] Gianluigi Rozza,et al. Reduced basis method for multi-parameter-dependent steady Navier-Stokes equations: Applications to natural convection in a cavity , 2009, J. Comput. Phys..
[47] Traian Iliescu,et al. A numerical investigation of velocity-pressure reduced order models for incompressible flows , 2014, J. Comput. Phys..
[48] P. Holmes,et al. The Proper Orthogonal Decomposition in the Analysis of Turbulent Flows , 1993 .
[49] C. Farhat,et al. Efficient non‐linear model reduction via a least‐squares Petrov–Galerkin projection and compressive tensor approximations , 2011 .