Comparison of CCA and smoothed CCA (Algorithm 2) for spatially independent case S1 Fig. 2 Illustrative example for simulated partial spatial overlap activation case S2.
The three simulated cases are shown in Figs. 1, 2 and 3: spatially independent events in Fig. 1, partial spatial overlapping events in Fig. 2 and complete spatial overlapping events in Fig. 3. Fig. 1 Illustrative example for simulated spatially independent activation case S1.
Other annotations as in Fig. 6 Fig. 8 Examples of simulated waveforms for 1D velocity structure along.
Examples of simulated velocity waveforms for Models 0, C, and H1 H3, compared with observed waveforms.
Examples of simulated velocity waveforms for Models 0 and S1 S3, compared with observed waveforms.
Further examples of typical images obtained for the various types of seabed are shown in Figure 8. Figure 8 Examples of simulated sonar images for different seabed types (clutter, flat, ripples), 3D elevation and scattering strength.
Because they lack high-speed interconnections, clusters are not ideal for, for example, simulating the human brain, where neurons constantly communicate with each other.
Examples are shown for simulated telescope design performance tests and application to real space-particle data.
They use computational approaches to study macromolecules and their interactions, for example, by simulating how two proteins dock with each other.
For example, if simulating a star cluster of known mass profile M ( r ) and centre x 0, one may simply use a b ∼ G M ( r b ) r b − 2 with r b = | x b − x 0 |.
For example if simulating a cardiac action potential will JSim solve faster or slower than real time on a conventional desktop.
