New methods for maximizing the smallest eigenvalue of the grounded Laplacian matrix
Annales mathematicae et informaticae, Volume 60 (2024), pp. 10-18
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Ahmad T. Anaqreh; Boglárka G.-Tóth; Tamás Vinkó. New methods for maximizing the smallest eigenvalue of the grounded Laplacian matrix. Annales mathematicae et informaticae, Volume 60 (2024), pp. 10-18. doi: 10.33039/ami.2024.02.001
@article{AMI_2024_60_a1,
author = {Ahmad T. Anaqreh and Bogl\'arka G.-T\'oth and Tam\'as Vink\'o},
title = {New methods for maximizing the smallest eigenvalue of the grounded {Laplacian} matrix},
journal = {Annales mathematicae et informaticae},
pages = {10--18},
year = {2024},
volume = {60},
doi = {10.33039/ami.2024.02.001},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.33039/ami.2024.02.001/}
}
TY - JOUR AU - Ahmad T. Anaqreh AU - Boglárka G.-Tóth AU - Tamás Vinkó TI - New methods for maximizing the smallest eigenvalue of the grounded Laplacian matrix JO - Annales mathematicae et informaticae PY - 2024 SP - 10 EP - 18 VL - 60 UR - http://geodesic.mathdoc.fr/articles/10.33039/ami.2024.02.001/ DO - 10.33039/ami.2024.02.001 LA - en ID - AMI_2024_60_a1 ER -
%0 Journal Article %A Ahmad T. Anaqreh %A Boglárka G.-Tóth %A Tamás Vinkó %T New methods for maximizing the smallest eigenvalue of the grounded Laplacian matrix %J Annales mathematicae et informaticae %D 2024 %P 10-18 %V 60 %U http://geodesic.mathdoc.fr/articles/10.33039/ami.2024.02.001/ %R 10.33039/ami.2024.02.001 %G en %F AMI_2024_60_a1
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