The definition of the geometry and the details of the tracking algorithm are tailored to optimize simulation speed.
Secret does vary for every user since its delivery algorithm is tailored to your contacts and their networks.
The proposed algorithm is tailored to inexpensive hardware and significantly reduces both the running time and memory requirements compared to the existing algorithms, while substantially improving the classification accuracy.
This algorithm is tailored to bond graphs.
The algorithm is tailored to a wide class of event data problems which are typical for studies in clinical epidemiology, quality control, prognosis, and epidemiological risk assessment.
These algorithms are tailored to real field applications thanks to their advanced features: handling of general complex geometries, robustness in the presence of rough tensor coefficients, low sensitivity to mesh orientation in advection dominated scenarios, and provable convergence with fully unstructured grids.
We further present a new rendering algorithm that is tailored to the unstructured yet dense data we capture.
Furthermore, it is implemented into an interior-point algorithm, which is tailored to shakedown analysis and thus capable of handling large-scale problems.
Cardei et al. [12] addressed this problem with the k-ATC algorithm, which is tailored to heterogeneous battery-powered WSNs, in which data is forwarded from the sensors to so-called super-nodes through a k-connected network of fixed topology.
Therefore, to enhance efficiency and adherence to the medication, a step-up antidepressant algorithm will be tailored to patients with DM, CVD, and COPD, consisting of two different types of antidepressant medication, i.e. selective serotonin reuptake inhibitors (SSRIs) and tricyclic antidepressants (TCAs).
