Nonlinearly-Stable High-Order Methods on Simplices with Improved Efficiency - presented by David Zingg

Nonlinearly-Stable High-Order Methods on Simplices with Improved Efficiency

David Zingg

DZ
Slide at 04:35
Entropy stable high-order methods on
simplices
one approach involves the summation-by-parts (SBP)
property (multidimensional SBP operators) combined with
two-point entropy-conservative (or stable) flux functions
less efficient than tensor-product schemes applicable to
structured grids or quadrilateral and hexahedral elements
Objective: to obtain the efficiency benefits of tensor-
product operators in operators applicable to simplices while
maintaining the SBP property and provable entropy stability
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Summary (AI generated)

In this section, we will discuss two methods that utilize simplices. Our premise is that simplex methods have specific applications where they can be beneficial. While there is ongoing debate regarding the choice of mesh, our focus is on demonstrating the utility of simplex methods.

We observed that higher-order methods applied to quadrilaterals and hexahedra exhibit significantly greater efficiency compared to those on simplices. Our objective is to bridge this efficiency gap. To achieve this, we have sought inspiration from the tensor product structure found in quadrilaterals and hexahedra, aiming to enhance the efficiency of simplex methods by leveraging this structure.

A key aspect of our approach is the Summation by Parts (SBP) property, which is essential for ensuring provable entropy stability. We are committed to developing efficient operators on simplices that incorporate the SBP property. In the following discussion, we will explore the advantages of the SBP property and its implications for our work.