| Residential College | false |
| Status | 即將出版Forthcoming |
| Stagnation-shortening inexact Newton algorithm based on unsupervised learning for highly nonlinear hyperelasticity problems on three-dimensional unstructured meshes | |
Yujie Gong1 ; Li Luo1 ; Xiao-Chuan Cai2
| |
| 2024-12 | |
| Source Publication | SIAM Journal on Scientific Computing
 |
| Indexed By | SSCI |
| Document Type | Journal article |
| Collection | DEPARTMENT OF MATHEMATICS |
| Corresponding Author | Xiao-Chuan Cai |
| Affiliation | 1.Department of Mathematics, University of Macau 2.Department of Computer Science, University of Colorado Boulder, Boulder, CO 80309, USA |
| First Author Affilication | University of Macau |
| Recommended Citation GB/T 7714 | Yujie Gong,Li Luo,Xiao-Chuan Cai. Stagnation-shortening inexact Newton algorithm based on unsupervised learning for highly nonlinear hyperelasticity problems on three-dimensional unstructured meshes[J]. SIAM Journal on Scientific Computing, 2024. |
| APA | Yujie Gong., Li Luo., & Xiao-Chuan Cai (2024). Stagnation-shortening inexact Newton algorithm based on unsupervised learning for highly nonlinear hyperelasticity problems on three-dimensional unstructured meshes. SIAM Journal on Scientific Computing. |
| MLA | Yujie Gong,et al."Stagnation-shortening inexact Newton algorithm based on unsupervised learning for highly nonlinear hyperelasticity problems on three-dimensional unstructured meshes".SIAM Journal on Scientific Computing (2024). |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment