Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Most, Thomas"'
Autor:
Most, Thomas, Will, Johannes
In real case applications within the virtual prototyping process, it is not always possible to reduce the complexity of the physical models and to obtain numerical models which can be solved quickly. Usually, every single numerical simulation takes h
Externí odkaz:
http://arxiv.org/abs/2408.15284
Autor:
Most, Thomas
Within the calibration of material models, often the numerical results of a simulation model $y$ are compared with the experimental measurements $y^*$. Usually, the differences between measurements and simulation are minimized using least squares app
Externí odkaz:
http://arxiv.org/abs/2408.06668
Autor:
Most, Thomas
In this paper, a Monte Carlo based approach for the quantification of the importance of the scattering input parameters with respect to the failure probability is presented. Using the basic idea of the alpha-factors of the First Order Reliability Met
Externí odkaz:
http://arxiv.org/abs/2408.06664
Autor:
Most, Thomas
In this study the common least-squares minimization approach is compared to the Bayesian updating procedure. In the content of material parameter identification the posterior parameter density function is obtained from its prior and the likelihood fu
Externí odkaz:
http://arxiv.org/abs/2408.04928
Autor:
Most, Thomas
In this paper we propose an extension of the classical Sobol' estimator for the estimation of variance based sensitivity indices. The approach assumes a linear correlation model between the input variables which is used to decompose the contribution
Externí odkaz:
http://arxiv.org/abs/2408.04933
In this paper the accuracy and robustness of quality measures for the assessment of machine learning models are investigated. The prediction quality of a machine learning model is evaluated model-independent based on a cross-validation approach, wher
Externí odkaz:
http://arxiv.org/abs/2408.04391
Antennas are more prevalent than ever enabling 5G connectivity for wide ranging applications like cellular communication, IoT, autonomous vehicles, etc. Optimizing an antenna design can be challenging and employing traditional optimization techniques
Externí odkaz:
http://arxiv.org/abs/2408.03674
Autor:
Most, Thomas, Will, Johannes
In real case applications within the virtual prototyping process, it is not always possible to reduce the complexity of the physical models and to obtain numerical models which can be solved quickly. Usually, every single numerical simulation takes h
Externí odkaz:
http://arxiv.org/abs/2408.03590