An Efficient Algorithm for Decomposing a Vector into Two Vectors with a Small Uniform Norm
Matematičeskie zametki, Tome 114 (2023) no. 6, pp. 945-948
Voir la notice de l'article provenant de la source Math-Net.Ru
Keywords:
greedy algorithm, federated learning, diameter.
@article{MZM_2023_114_6_a13,
author = {B. S. Kashin and D. G. Romskii},
title = {An {Efficient} {Algorithm} for {Decomposing} a {Vector} into {Two} {Vectors} with a {Small} {Uniform} {Norm}},
journal = {Matemati\v{c}eskie zametki},
pages = {945--948},
publisher = {mathdoc},
volume = {114},
number = {6},
year = {2023},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/MZM_2023_114_6_a13/}
}
TY - JOUR AU - B. S. Kashin AU - D. G. Romskii TI - An Efficient Algorithm for Decomposing a Vector into Two Vectors with a Small Uniform Norm JO - Matematičeskie zametki PY - 2023 SP - 945 EP - 948 VL - 114 IS - 6 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/MZM_2023_114_6_a13/ LA - ru ID - MZM_2023_114_6_a13 ER -
B. S. Kashin; D. G. Romskii. An Efficient Algorithm for Decomposing a Vector into Two Vectors with a Small Uniform Norm. Matematičeskie zametki, Tome 114 (2023) no. 6, pp. 945-948. http://geodesic.mathdoc.fr/item/MZM_2023_114_6_a13/