Pages that link to "Item:Q3498723"
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The following pages link to ATTRACTOR MODELING AND EMPIRICAL NONLINEAR MODEL REDUCTION OF DISSIPATIVE DYNAMICAL SYSTEMS (Q3498723):
Displaying 14 items.
- Dimensionality reduction of collective motion by principal manifolds (Q282231) (← links)
- Low-dimensional models from upper bound theory (Q622360) (← links)
- \textit{A priori} analysis of reduced description of dynamical systems using approximate inertial manifolds (Q778315) (← links)
- The reduction of complex dynamical systems using principal interaction patterns (Q1910490) (← links)
- Manifold learning for parameter reduction (Q2221444) (← links)
- Spectral properties of dynamical systems, model reduction and decompositions (Q2499481) (← links)
- Data-driven control of agent-based models: an equation/variable-free machine learning approach (Q2687520) (← links)
- Dimension reduction for analysis of unstable periodic orbits using locally linear embedding (Q2843478) (← links)
- Dimensionality reduction of dynamical systems with parameters: a geometric approach (Q2876681) (← links)
- A Low-Dimensional Principal Manifold as the "Attractor Backbone" of a Chaotic Beam System (Q5252711) (← links)
- Data-driven reduced-order modeling of spatiotemporal chaos with neural ordinary differential equations (Q6565124) (← links)
- Time-series forecasting using manifold learning, radial basis function interpolation, and geometric harmonics (Q6567586) (← links)
- Slow invariant manifolds of singularly perturbed systems via physics-informed machine learning (Q6573172) (← links)
- Slow invariant manifolds of fast-slow systems of ODEs with physics-informed neural networks (Q6661630) (← links)
