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Published in 2018 at "BIT Numerical Mathematics"
DOI: 10.1007/s10543-019-00782-3
Abstract: This paper concerns the accuracy of Galerkin finite element approximations to two types of shape gradients for eigenvalue optimization. Under certain regularity assumptions on domains, a priori error estimates are obtained for the two approximate…
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Keywords:
finite element;
gradients eigenvalue;
galerkin finite;
eigenvalue optimization ... See more keywords
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Published in 2024 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2024.3380351
Abstract: Graphs are a powerful tool for representing entities and their relationships. Current advances in graph signal processing have made it possible to analyze graph-based data more effectively. Recent research show that, to ensure critical sampling,…
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Keywords:
bipartite graph;
eigenvalue optimization;
graph;
graph approximation ... See more keywords