Daniela di Serafino and Dominique Orban
Article (2021)
An external link is available for this item
| Department: | Department of Mathematics and Industrial Engineering |
|---|---|
| PolyPublie URL: | https://publications.polymtl.ca/47540/ |
| Journal Title: | SIAM Journal on Scientific Computing (vol. 43, no. 2) |
| Publisher: | SIAM |
| DOI: | 10.1137/19m1291753 |
| Official URL: | https://doi.org/10.1137/19m1291753 |
| Date Deposited: | 18 Apr 2023 14:59 |
| Last Modified: | 08 Apr 2025 07:14 |
| Cite in APA 7: | di Serafino, D., & Orban, D. (2021). Constraint-Preconditioned Krylov Solvers for Regularized Saddle-Point Systems. SIAM Journal on Scientific Computing, 43(2), 1001-1026. https://doi.org/10.1137/19m1291753 |
|---|---|
Statistics
Dimensions
Repository Staff Only
|
View Item |
