Computational Challenges in Numerical Simulations of ISI of Ferritic Steam Generator Tubes in Fast Breeder Reactors using Eddy Currents and Multi-frequency AlgorithmsIn the present paper are addressed the challenges of three dimensional (3D) simulations of ISI of ferritic SG tubes ...
It deals with the design and analysis of algorithms that preserve the structure of the analytic flow. The present review discusses numerical integrators, which nearly preserve the energy of Hamiltonian systems over long times. Backward error analysis gives important insight in the situation, where the...
Metaheuristic algorithms have wide applicability, particularly in wireless sensor networks (WSNs), due to their superior skill in solving and optimizing ma
Numerical examples are included to demonstrate the feasibility and efficiency of the proposed algorithm. Applications indicate that the proposed approach provides a feasible alternative for the solution of nonlinear optimization problems in groundwater management....
Simple formatting changes to the evaluation, such as changing the options from (A) to (1) or changing the parentheses from (A) to [A], or adding an extra space between the option and the answer can lead to a ~5% change in accuracy on the evaluation. ...
et al. Hyperparameter optimization: foundations, algorithms, best practices, and open challenges. WIREs Data Min. Knowl. Discov. 13, e1484 (2023). Article Google Scholar Lessmann, S., Stahlbock, R. & Crone, S. F. in Proc. Int. Conf. Artificial Intelligence 74–82 (ICAI, 2005). ...
The description of the individual phenomena and of the nonlinear coupling between them involves a hierarchy of models, which, when applied to realistic configurations, require the most advanced numerical techniques and algorithms and the use of state-of-the-art high-performance computers. The common ...
A further implication of a multi-domain approach is the interaction of approximations in the various numerical algorithms. Such algorithms must be combined to solve differential equations, difference equations, algebraic equations, algebraic loops, root-finding inequalities, etc. [Mosterman, et al. ...
At the core of today’s technological challenges is the ability to process information at massively superior speed and accuracy. Despite large-scale success of deep learning approaches in producing exciting new possibilities1,2,3,4,5,6,7, such methods generally rely on training big models of neu...
(hSMA-PS) has been evaluated by comparing against accurate and reliable meta-heuristics for accuracy testing. In addition, nine classical engineering based optimization problems with design are used to guesstimate the algorithm’s efficacy in engineering based optimization challenges. The experiments ...