Pages that link to "Item:Q1691393"
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The following pages link to Enhanced robustness of the hybrid compact-WENO finite difference scheme for hyperbolic conservation laws with multi-resolution analysis and Tukey's boxplot method (Q1691393):
Displaying 14 items.
- Construction of discontinuity detectors using convolutional neural networks (Q2147452) (← links)
- Seventh and ninth orders characteristic-wise alternative WENO finite difference schemes for hyperbolic conservation laws (Q2180018) (← links)
- An edge detector based on artificial neural network with application to hybrid compact-WENO finite difference scheme (Q2187030) (← links)
- An artificial neural network as a troubled-cell indicator (Q2424512) (← links)
- An essential seventh-order weighted compact adaptive scheme for hyperbolic conservation laws (Q2666025) (← links)
- Troubled-cell indication using K-means clustering with unified parameters (Q2674168) (← links)
- Hybrid Compact-WENO Finite Difference Scheme with Radial Basis Function Based Shock Detection Method for Hyperbolic Conservation Laws (Q4558228) (← links)
- A New Troubled-Cell Indicator for Discontinuous Galerkin Methods Using K-Means Clustering (Q4958916) (← links)
- High Order Hybrid Weighted Compact Nonlinear Schemes for Hyperbolic Conservation Laws (Q5156980) (← links)
- A Generalization of a Troubled-Cell Indicator to $h$-Adaptive Meshes for Discontinuous Galerkin Methods (Q5156991) (← links)
- Three Indication Variables and Their Performance for the Troubled-Cell Indicator using K-Means Clustering (Q5871974) (← links)
- Edge Detectors Based on Pauta Criterion with Application to Hybrid Compact-WENO Finite Difference Scheme (Q6148558) (← links)
- A robustness-enhanced reconstruction based on discontinuity feedback factor for high-order finite volume scheme (Q6608082) (← links)
- Multi-layer perceptron estimator for the total variation bounded constant in limiters for discontinuous Galerkin methods (Q6664406) (← links)
