The sweep parameter gives the interaction impedance and phase velocity directly in terms of frequency.
These results indicate that, for biological models consisting in many reactions and many species, our GPU implementation of LSODA becomes more profitable than the CPU counterpart as the number of concurrent simulations increases, making it suitable especially when performing demanding computational analysis such as, for example, parameter sweep, parameter estimation, or sensitivity analysis.
The blade-sweep parameters at the mid and the tip sections are selected as design variables.
This is an essential first step towards encoding more complicated experiments such as nested simulations, parameter sweeps, parameter estimation, and sensitivity analysis.
First, we compute the conditional fixation probability G of a target mutation subject to interference by the closest background sweep (with parameters τ′ < τ and σ′ > σ) and the closest future sweep (with parameters τ′′ > τ and σ′′ > σ).
Clicking on a node in the tree runs the tool iteratively to perform a systematic parameter sweep over the parameter values defined by the node and children.
This method of simulation can also be useful for intelligent transport systems, where simulations run in parallel can sweep the parameter space for a desired outcome.
The features that enhance design productivity are also reviewed, including hierarchy, automatic sweeps of parameters, models and topologies, parameterization and optimization, and automated synthesis from network-level specifications.
First we consider the quantum model ({H_{1}^{mathrm{per}}, S_{z}}) with fixed (J^{0}), and sweep the parameter (B^{0}) to explore the behavior of the model across its phase diagram.
Using our methods, a full sweep of parameter space (as provided in Supporting Information File S1) requires only a few seconds of desktop processor time and so comprehensive sensitivity analysis around a region of parameter space relevant to a given applied problem is also readily obtained.
