Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Lisa Kusch"'
Publikováno v:
Results in Engineering, Vol 21, Iss , Pp 101856- (2024)
Mixing processes are important in many applications like food processing or in chemical reactors. Achieving homogeneous mixtures over short distances with a small pressure drop is a challenge. Kenics static mixers usually provide a good balance betwe
Externí odkaz:
https://doaj.org/article/0853512991f34696acc318ad4a33afeb
Autor:
Nicolas R. Gauger, Lisa Kusch
Publikováno v:
Computational Methods in Applied Sciences ISBN: 9783030574215
A significant step to engineering design is to take into account uncertainties and to develop optimal designs that are robust with respect to perturbations. Furthermore, when multiple optimization objectives are involved it is important to define sui
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff633f664388e457b8c34b4874ffe5fe
https://doi.org/10.1007/978-3-030-57422-2_12
https://doi.org/10.1007/978-3-030-57422-2_12
Publikováno v:
Vietnam Journal of Mathematics. 46:825-836
The one-shot approach is often applied for design optimization tasks involving a slowly converging Newton-like solver for the underlying partial differential equations. The state solver is augmented with an adjoint solver to obtain reduced derivative
Publikováno v:
Optimization Methods and Software. 33:694-707
This paper concerns the implementation and application of the extended one-shot approach including additional equality constraints to achieve a direct transition from simulation to optimization. Th...
Publikováno v:
Optimization Methods and Software. 31:494-510
For design optimization tasks, quite often a so-called one-shot approach is used. It augments the solution of the state equation with a suitable adjoint solver yielding approximate reduced derivatives that can be used in an optimization iteration to
Autor:
Nicolas R. Gauger, Lisa Kusch
Publikováno v:
Computational Methods in Applied Sciences ISBN: 9783319899862
We apply the concept of robustness to multi-objective optimization for finding robust Pareto optimal solutions. The multi-objective optimization and robustness problem is solved by using the \(\varepsilon \)-constraint method combined with the non-in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd27386392c3fd0e89a78da1a74d5484
https://doi.org/10.1007/978-3-319-89988-6_23
https://doi.org/10.1007/978-3-319-89988-6_23
Publikováno v:
SIAM Undergraduate Research Online. 5:128-147
The research on tumors is a significant scientific challenge of our time. Most insights into the micro environment of a tumor are gained via invasive methods, which can change the outcomes of the experiments. Other non-invasive methods like PET imagi
Autor:
Nicolas R. Gauger, Lisa Kusch
Publikováno v:
PAMM. 16:699-700