Sentence examples for solving realistic problems from inspiring English sources
In addition, we illustrate our approach with a bank marketing application example for showing the viability of the model for solving realistic problems.
The book is addressed to those that have not been exposed to the BEM before and are interested to understand the method, program it on a computer, and use it for solving realistic problems in engineering and science.
The resulting schemes can be applied to solve realistic problems characterized by non-uniform bottom geometries.
The scalability of the rigorous algorithm is limited due to the "curse of dimensionality", suggesting the need for approximating approaches to solve realistic problems.
This depth and expertise must be sufficient to enable the student to appreciate the complexities and issues that are central to the minor, and to perform at a level sufficient to solve realistic problems and/or to make a contribution to the field.
Our goal is to solve realistic problem instances in no more than a couple of minutes.
Numerical results, obtained both on small and large-scale power systems, support the theoretical achievements, by showing the effectiveness of the proposed methodology in the task of solving realistic smart grid operation problems.
Participants with more vocational experience (cf. the above-median group, ≥4 years) have by this point acquired adequate coping strategies and may consider successful problem solving realistic (cf. Lazarus 1991, 1999; Tenenbaum et al. 2008).
To our best knowledge, those are the largest-scale CPU GPU collaborative simulations that solve realistic CFD problems with both complex configurations and high-order schemes.
At the current stage of research, advances in solving realistic and complex assembly line balancing problem, as the one analyzed, are often limited by the poor capability to effectively evaluate the line throughput.
Finally, we design and implement a matheuristic approach, integrating a rollout algorithm and an optimal solution of mixed-integer linear programming models, which is able to solve realistic size problem instances.
