Pages that link to "Item:Q3832231"

The following pages link to Turbulence and the dynamics of coherent structures. I. Coherent structures (Q3832231):

Displaying 50 items.

• Recent results from analysis of flow structures and energy modes induced by viscous wave around a surface-piercing cylinder (Q1992904) (← links)
• A POD-based reduced-order Crank-Nicolson finite volume element extrapolating algorithm for 2D Sobolev equations (Q1997028) (← links)
• Randomized model order reduction (Q2000522) (← links)
• A goal-oriented reduced-order modeling approach for nonlinear systems (Q2007257) (← links)
• A reduced-order extrapolated Crank-Nicolson finite spectral element method for the 2D non-stationary Navier-Stokes equations about vorticity-stream functions (Q2010243) (← links)
• Proper orthogonal decomposition, surrogate modelling and evolutionary optimization in aerodynamic design (Q2015955) (← links)
• Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms (Q2021063) (← links)
• A fast reduced-order model for radial integral boundary element method based on proper orthogonal decomposition in nonlinear transient heat conduction problems (Q2021218) (← links)
• Fast reconstruction of 3D blood flows from Doppler ultrasound images and reduced models (Q2022044) (← links)
• A globally convergent method to accelerate topology optimization using on-the-fly model reduction (Q2022073) (← links)
• Non-intrusive reduced-order modeling of parameterized electromagnetic scattering problems using cubic spline interpolation (Q2025869) (← links)
• Efficient computations for linear feedback control problems for target velocity matching of Navier-Stokes flows via POD and LSTM-ROM (Q2030428) (← links)
• Reduced-order modeling of nonlinear structural dynamical systems via element-wise stiffness evaluation procedure combined with hyper-reduction (Q2033650) (← links)
• Adaptive sampling and modal expansions in pattern-forming systems (Q2048199) (← links)
• Suppression of vortex shedding using a slit through the circular cylinder at low Reynolds number (Q2056053) (← links)
• A reduced-order extrapolated finite difference iterative scheme for uniform transmission line equation (Q2058421) (← links)
• Data-driven reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation (Q2059122) (← links)
• Data-driven reduced order modeling based on tensor decompositions and its application to air-wall heat transfer in buildings (Q2059136) (← links)
• Goal-oriented model reduction for parametrized time-dependent nonlinear partial differential equations (Q2060100) (← links)
• Numerical simulation for a incompressible miscible displacement problem using a reduced-order finite element method based on POD technique (Q2065841) (← links)
• Acceleration of shape optimization analysis using model order reduction by Karhunen-Loève expansion (Q2070159) (← links)
• Non-intrusive data-driven model reduction for differential-algebraic equations derived from lifting transformations (Q2072439) (← links)
• Projection-based model reduction of dynamical systems using space-time subspace and machine learning (Q2072456) (← links)
• Inverse parameter estimation to predict material parameters of the Cowper-Symonds constitutive equation in electrohydraulic forming process (Q2074241) (← links)
• Intrusive and data-driven reduced order modelling of the rotating thermal shallow water equation (Q2079107) (← links)
• Comparative analysis of the characteristics of the vortex wake behind a flapping wing performing oscillations of different types (Q2086808) (← links)
• A POD-based ROM strategy for the prediction in time of advection-dominated problems (Q2088390) (← links)
• An enhanced algorithm for online proper orthogonal decomposition and its parallelization for unsteady simulations (Q2094341) (← links)
• Model reduction of convection-dominated partial differential equations via optimization-based implicit feature tracking (Q2106952) (← links)
• A reduced-order extrapolating collocation spectral method based on POD for the 2D Sobolev equations (Q2108272) (← links)
• Lift \& learn: physics-informed machine learning for large-scale nonlinear dynamical systems (Q2115511) (← links)
• Bridging the gap: machine learning to resolve improperly modeled dynamics (Q2116291) (← links)
• Model reduction in Smoluchowski-type equations (Q2118995) (← links)
• Calibration of projection-based reduced-order models for unsteady compressible flows (Q2120780) (← links)
• Reconstruction of three-dimensional flow fields from two-dimensional data (Q2122736) (← links)
• Non-linearly stable reduced-order models for incompressible flow with energy-conserving finite volume methods (Q2123750) (← links)
• A generalized DEIM technique for model order reduction of porous media simulations in reservoir optimizations (Q2123800) (← links)
• Gradient-based constrained optimization using a database of linear reduced-order models (Q2123821) (← links)
• Space-time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems (Q2123894) (← links)
• Non-intrusive reduced-order modeling using uncertainty-aware deep neural networks and proper orthogonal decomposition: application to flood modeling (Q2123910) (← links)
• A cure for instabilities due to advection-dominance in POD solution to advection-diffusion-reaction equations (Q2123978) (← links)
• POD analysis of the wake behind a circular cylinder with splitter plate (Q2124030) (← links)
• The DGDD method for reduced-order modeling of conservation laws (Q2124362) (← links)
• Wavelet adaptive proper orthogonal decomposition for large-scale flow data (Q2124744) (← links)
• On the stability of projection-based model order reduction for convection-dominated laminar and turbulent flows (Q2125450) (← links)
• A long short-term memory embedding for hybrid uplifted reduced order models (Q2125587) (← links)
• An efficient proper orthogonal decomposition based reduced-order model for compressible flows (Q2127028) (← links)
• Non-intrusive model reduction of large-scale, nonlinear dynamical systems using deep learning (Q2127404) (← links)
• Physically interpretable machine learning algorithm on multidimensional non-linear fields (Q2128352) (← links)
• A greedy non-intrusive reduced order model for shallow water equations (Q2129263) (← links)