Zobrazeno 1 - 4
of 4
pro vyhledávání: '"P. Ryckelynck"'
Publikováno v:
Mathematical and Computational Applications, Vol 26, Iss 1, p 17 (2021)
Classification algorithms have recently found applications in computational physics for the selection of numerical methods or models adapted to the environment and the state of the physical system. For such classification tasks, labeled training data
Externí odkaz:
https://doaj.org/article/c7d4d0a7b07542919f3e898bc374f5fb
Publikováno v:
Mathematical and Computational Applications, Vol 24, Iss 1, p 17 (2019)
This work presents a novel approach to construct surrogate models of parametric differential algebraic equations based on a tensor representation of the solutions. The procedure consists of building simultaneously an approximation given in tensor-tra
Externí odkaz:
https://doaj.org/article/d8cf86b18cc741bfaac2ec2a5196a715
Publikováno v:
Mathematical and Computational Applications, Vol 24, Iss 1, p 18 (2019)
The development and generalization of Digital Volume Correlation (DVC) on X-ray computed tomography data highlight the issue of long-term storage. The present paper proposes a new model-free method for pruning experimental data related to DVC, while
Externí odkaz:
https://doaj.org/article/f075c5ee13544b1e8364e03dd5d3f1d6
Publikováno v:
Mathematical and Computational Applications, Vol 23, Iss 1, p 8 (2018)
A novel algorithmic discussion of the methodological and numerical differences of competing parametric model reduction techniques for nonlinear problems is presented. First, the Galerkin reduced basis (RB) formulation is presented, which fails at pro
Externí odkaz:
https://doaj.org/article/1375bbeca0a24193a1bda67bb35f2762