# Search results

Advances in Water Resources > 2014 > 69 > Complete > 168-180

International Journal for Numerical Methods in Engineering > 122 > 24 > 7409 - 7430

Numerical Linear Algebra with Applications > 28 > 2 > n/a - n/a

*H*that can exploit localization features of the eigenvector. When the eigenvector to be computed is localized, meaning only a small number of its components have large magnitudes, the proposed algorithm identifies the location of these components in a greedy manner, and obtains approximations to the desired eigenpairs...

International Journal for Numerical Methods in Engineering > 121 > 23 > 5426 - 5445

International Journal of Communication Systems > 33 > 8 > n/a - n/a

Annals of Computer Science and Information Systems > 2020 > Vol. 21 > 257--261

International Journal for Numerical Methods in Engineering > 121 > 2 > 187 - 200

Mathematical Methods in the Applied Sciences > 42 > 16 > 5595 - 5606

Russian Mathematics > 2019 > 63 > 5 > 57-62

*f*with Faber-Schauder coefficients |

*A*

_{n}(

*f*)| =

*O*(log

^{−1}

*n*) and divergent greedy algorithm.

Computational Optimization and Applications > 2019 > 74 > 2 > 517-545

Wireless Networks > 2019 > 25 > 8 > 4947-4962

Electronics and Communications in Japan > 102 > 6 > 3 - 11

Journal of the Operations Research Society of China > 2019 > 7 > 3 > 449-459

*f*and normalized non-negative monotone set function

*g*. We take advantage of the greedy technique and get a performance guarantee depending on the generalized curvature and inverse generalized curvature of

*f*, as well as the submodularity ratio of

*g*. Our results generalize...

Journal of Signal Processing Systems > 2019 > 91 > 10 > 1191-1204

Journal of Real-Time Image Processing > 2019 > 16 > 3 > 661-671

International Journal for Equity in Health > 2018 > 17 > 1 > 1-13

Wireless Personal Communications > 2019 > 104 > 3 > 1133-1148

GEM - International Journal on Geomathematics > 2018 > 9 > 2 > 167-198

Applied Network Science > 2018 > 3 > 1 > 1-14