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Title | RBniCS Project — RBniCS - reduced order modelling in |
Description | The RBniCS Project contains an implementation in FEniCS of several reduced order modelling techniques for parametrized problems. RBniCS is currently developed at Università Cattolica del Sacro Cuore by Dr. Francesco Ballarin in collaboration with |
Keywords | N/A |
WebSite | rbnicsproject.org |
Host IP | 185.199.111.153 |
Location | - |
Site | Rank |
US$292,090
Last updated: 2023-05-18 11:57:31
rbnicsproject.org has Semrush global rank of 36,236,534. rbnicsproject.org has an estimated worth of US$ 292,090, based on its estimated Ads revenue. rbnicsproject.org receives approximately 33,703 unique visitors each day. Its web server is located in -, with IP address 185.199.111.153. According to SiteAdvisor, rbnicsproject.org is safe to visit. |
Purchase/Sale Value | US$292,090 |
Daily Ads Revenue | US$270 |
Monthly Ads Revenue | US$8,089 |
Yearly Ads Revenue | US$97,064 |
Daily Unique Visitors | 2,247 |
Note: All traffic and earnings values are estimates. |
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rbnicsproject.org. | A | 3600 | IP: 185.199.111.153 |
rbnicsproject.org. | A | 3600 | IP: 185.199.109.153 |
rbnicsproject.org. | A | 3600 | IP: 185.199.108.153 |
rbnicsproject.org. | A | 3600 | IP: 185.199.110.153 |
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RBniCS Project RBniCS Project Type to start searching RBniCS RBniCS - reduced order modelling in FEniCS Tutorials Installation How to contribute How to cite Publications RBniCS Project RBniCS Tutorials Installation How to contribute How to cite Publications Contents RBniCS Project Description Authors and contributors Timeline and funding Learn more about RBniCS License Show Source RBniCS Project ¶ Description ¶ The RBniCS Project contains an implementation in FEniCS of several reduced order modelling techniques (and, in particular, certified reduced basis method and Proper Orthogonal Decomposition-Galerkin methods) for parametrized problems. It is ideally suited for an introductory course on reduced basis methods and reduced order modelling, thanks to an object-oriented approach and an intuitive and versatile python interface. To this end, it has been employed in several doctoral courses on “Reduced Basis Methods for Computational Mechanics”. RBniCS can also be used as a basis |
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