Sentence examples for smooth attraction from inspiring English sources

For the network evolved under σ>σc there is a large, smooth attraction to the target state, while for the dynamics evolved under σ<σc, the phase space is split into small basins.

The developmental landscape for σ > σ c gives a global, smooth attraction to the target, whereas the landscape evolved at σ < σ c is rugged.

But Glass Beach, a tiny stretch of sand at the end of Calle Regimientio 65 de la Infanteria, has a special attraction: perfectly smooth stones, seashells and sea glass — hence the name.

In the smooth landscape with global attraction, such a perturbation will cause little change to the final expression pattern, while under the dynamics with rugged developmental landscape, it often destroys the attraction to the target attractor.

end{aligned} If delta< sqrt{2- theta alpha)}-1, (3.11) then (rho(M_{alpha,x^{ast}})<1), which implies that (x^{ast}in mathbb{D}) is a point of attraction of the smoothing nonlinear MHSS-like iteration (3.10).

Billionaire Simon Masrani Irrfan Khann, a long way from "The Lunchbox"), the world's eighth-richest man, has taken Dr. Hammond's concept and run with it, turning Isla Nublar off the coast of Costa Rica into a smooth-running tourist Jurassic World attraction hosting 20,000 dino-curious visitors daily.

It converts the messy daily ingredients of sexual attraction and conflict into something as smooth, sweet and tart as a Key lime pie.

Negative consequences of everyday aesthetics can also be found in the American attraction to the weed-free, velvety-smooth, uniformly green lawn.

Smooth sumac (Rhus glabra) is the most common roadside attraction.

Our main contribution is the characterization of a class of systems for which IDA-PBC yields a smooth asymptotically stabilizing controller with a guaranteed domain of attraction.

This paper proposes a smooth control Lyapunov function with maximal controlled domain of attraction for the state-feedback control of constrained uncertain linear systems describing the dynamics of multivariable processes.