Sentence examples for point of trajectory from inspiring English sources

If the initial trait value of the invading prey is close to the equilibrium trait value of the resident prey (see the initial point of trajectory c in Fig. 3a), the defense trait of the invading prey evolves to a higher value after it invades and three species coexist stably (trajectory c in Fig. 3a; Fig. 3c).

If the initial defense trait value of the second prey is lower than the equilibrium trait value of the resident prey (see the initial point of trajectory b in Fig. 3a), the trait of the second, invading prey evolves to a lower value after it invades and three species coexist stably (trajectory b in Fig. 3a; Fig. 3b).

If the initial trait value of the second prey is close to the equilibrium trait value of the resident prey (see the initial point of trajectory c in Fig. 4a), the second prey evolves its defense to a higher level, and the resident prey evolves it defense to a much lower level, resulting in destabilization of the population dynamics (trajectory c in Fig. 4a; Fig. 4c).

Therefore the last point of trajectories 1-5-7-8-9, 1-5-7-8-10 and 1-5-7-8-11 ishownwn at the same point because the time points 9, 10 and 11 are all following time point 8.

The second phase includes changing cubic spline interpolation in the first and last knots of optimized trajectory with 7th order polynomial for having zero jerk at the beginning and end points of trajectory.

While if (A_{h}<0), then the impulsive points and its phase points of trajectory shown in Figure 8(F) are two monotonically decreasing sequences, and eventually the trajectory tends to the boundary order-1 limit cycle ((x^{T}(t),0)).

To confirm the main results obtained in Theorem 6.3, we fixed the parameter values as those in Figure 8, and we can see that if (A_{h}>0), then the impulsive points and its phase points of trajectory shown in Figure 8(C) are two monotonically increasing sequences, and eventually the trajectory approaches a closed orbit which frees it from impulsive effects.

These instructions allow the UAV to make decisions along any point of its trajectory and then modify its flight path by using a sequence of reconfigurable controllers at the decision points.

Particle coordinates, total velocity (distance between the first and last time point of the trajectory divided by the time between the first and last time point of the trajectory), and mean square displacement (MSD) values were calculated by View5D.

In a final late-night thought experiment Marx imagined the end point of this trajectory: the creation of an "ideal machine", which lasts forever and costs nothing.

At each point of its trajectory the shadow 'possesses' a fixed charge.