Pages that link to "Item:Q3550465"

The following pages link to Spectral analysis of nonlinear flows (Q3550465):

Displaying 34 items.

• Transported snapshot model order reduction approach for parametric, steady-state fluid flows containing parameter-dependent shocks (Q6555323) (← links)
• Randomized dynamic mode decomposition for nonintrusive reduced order modelling (Q6557432) (← links)
• Koopman spectral analysis of elementary cellular automata (Q6557723) (← links)
• Data-driven identification of dynamical models using adaptive parameter sets (Q6561192) (← links)
• Shock trace prediction by reduced models for a viscous stochastic Burgers equation (Q6561716) (← links)
• Symmetric projection attractor reconstruction: embedding in higher dimensions (Q6562264) (← links)
• Conditional Gaussian nonlinear system: a fast preconditioner and a cheap surrogate model for complex nonlinear systems (Q6563632) (← links)
• The spatiotemporal coupling in delay-coordinates dynamic mode decomposition (Q6571520) (← links)
• Koopman neural operator as a mesh-free solver of non-linear partial differential equations (Q6572200) (← links)
• Rigid transformations for stabilized lower dimensional space to support subsurface uncertainty quantification and interpretation (Q6578296) (← links)
• Koopman dynamic-oriented deep learning for invariant subspace identification and full-state prediction of complex systems (Q6588249) (← links)
• Dynamic flux surrogate-based partitioned methods for interface problems (Q6588266) (← links)
• Non-intrusive reduced-order model for time-dependent stochastic partial differential equations utilizing dynamic mode decomposition and polynomial chaos expansion (Q6592584) (← links)
• PCDMD: physics-constrained dynamic mode decomposition for accurate and robust forecasting of dynamical systems with imperfect data and physics (Q6592770) (← links)
• Modal visualization of waves by means of linear mapping filtering (Q6593233) (← links)
• Graph embedded dynamic mode decomposition for stock price prediction (Q6597648) (← links)
• A LAPACK implementation of the dynamic mode decomposition (Q6604151) (← links)
• Approximation of translation invariant Koopman operators for coupled non-linear systems (Q6604821) (← links)
• Existence and uniqueness of solutions of the Koopman-von Neumann equation on bounded domains (Q6612272) (← links)
• Data-driven linearization of dynamical systems (Q6617274) (← links)
• Dimensional reduction of dynamical systems by machine learning: automatic generation of the optimum extensive variables and their time-evolution map (Q6620210) (← links)
• The sparse-grid-based adaptive spectral Koopman method (Q6623708) (← links)
• Machine learning methods for reduced order modeling (Q6629175) (← links)
• Representing turbulent statistics with partitions of state space. I: Theory and methodology (Q6629558) (← links)
• Representing turbulent statistics with partitions of state space. II: The compressible Euler equations (Q6629559) (← links)
• Another look at residual dynamic mode decomposition in the regime of fewer snapshots than dictionary size (Q6629751) (← links)
• The structure and dynamics of the laminar separation bubble (Q6640659) (← links)
• A surrogate reduced order model of the unsteady advection dominant problems based on combination of deep autoencoders-LSTM and POD (Q6645093) (← links)
• Characterizing nonlinear flow dynamics in hydrodynamic and magnetohydrodynamic regimes through modal decomposition (Q6658626) (← links)
• Informative and non-informative decomposition of turbulent flow fields (Q6659627) (← links)
• Dynamics-preserving compression for modal flow analysis (Q6663216) (← links)
• System stabilization with policy optimization on unstable latent manifolds (Q6663289) (← links)
• Koopman analysis of the singularly perturbed van der Pol oscillator (Q6663652) (← links)
• Model free data assimilation with Takens embedding (Q6664902) (← links)