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It is a stochastic process in nature, but its optimal control is based on the solution to a related deterministic optimal tracking problem to minimize a quadratic cost objective restricted by linear dynamics.
It is a stochastic process that has as its thermodynamic foundation the free energy of formation of each specific protein conformer (structure).
It is a stochastic version of the model described in: Hennig, M., Postlethwaite, M., Forsythe, I.D. and Graham, B.P. (2007).
Such procedure is appropriate to the system features of the reservoir system as it is a stochastic system in nature.
In this work a new knock model is derived which accounts for the inherent feature of knocking combustion, namely that it is a stochastic phenomenon.
Whenever the system is affected by a random disturbance, the value of the design indicator i is also random: it is a stochastic or uncertain variable according to whether the disturbance is of one type or the other.
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In this case, for a neuron that fires with Poisson statistics according to a stochastic rate in each trial, the Fano factor will be larger than 1 (i.e. it is a doubly stochastic process).
It is a growing stochastic model of content-based network generated by a copy and mutation algorithm.
It is an effective stochastic inversion technique for optimization problems.
This Langevin equation is the ssLNA: it is an effective stochastic description of the intrinsic noise in the slow variables in timescale separation conditions.
It is a low complexity stochastic algorithm which works with two points and generates additional points depending on the number of decision variables in the optimization problem.
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