Conveners
S22: Scientific computing: S22.01
- Silke Glas
S22: Scientific computing: S22.02
- Silke Glas
S22: Scientific computing: S22.03
- Melina Merkel
- Andreas Sommer
S22: Scientific computing: S22.04
- Silke Glas
S22: Scientific computing: S22.05
- Melina Merkel
S22: Scientific computing: S22.06
- Melina Merkel
S22: Scientific computing: S22.07
- Sebastian Gรถtschel
- Melina Merkel
Description
Scientific Computing is concerned with the efficient numerical solution of mathematical models from both science and engineering. The field covers a wide range of topics: from mathematical modeling over the development, analysis and efficient implementation of numerical methods and algorithms to software and finally application for the solution of complex real-world problems on modern computing systems. This interdisciplinary field combines approaches from applied mathematics, computer science and a wide range of applications in which in-silico experiments play an increasingly important role.
This study presents an optimization model for forced convection problems, aiming to determine the optimal location and size of inlet and outlet ports in a cavity flow field. The proposed approach integrates the localized meshless method, the generalized finite difference method (GFDM) for spatial discretization, the projection method for stable and accurate simulation, and particle swarm...