A family of gradient methods using Householder transformation with application to hypergraph partitioning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s11075-023-01593-y.pdf
Reference62 articles.
1. Abdollahi, F., Fatemi, M.: A modified conjugate gradient method for general convex functions. Numer Algor. 92, 1485–1502 (2023)
2. Bu, C., Fan, Y., Zhou, J.: Laplacian and signless Laplacian Z-eigenvalues of uniform hypergraphs. Front. Math. China. 11, 511–520 (2016)
3. Bulò, S.R., Pelillo, M.: New bounds on the clique number of graphs based on spectral hypergraph theory. In: Stützle, T. (ed.) Learning and intelligent optimization, pp. 45–48. Springer Verlag, Berlin (2009)
4. Chang, J., Chen, Y., Qi, L.: Computing eigenvalues of large scale sparse tensors arising from a hypergraph. SIAM J. Sci. Comput. 38(6), A3618–A3643 (2016)
5. Chang, J., Ding, W., Qi, L., Yan, H.: Computing the $$p$$-spectral radii of uniform hypergraphs with applications. J. Sci. Comput. 75, 1–25 (2018)
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