At first, we convert it to a stochastic differential equation and solve with the stochastic θ-method.
At first, we solve this problem via the stochastic θ-method.
The figures show the results of a numerical solution generated by the stochastic θ-method with θ = 0.5 and the Bernstein approximation with n = 12 for two cases of r.
In this paper, power system voltage stability is analyzed using the stochastic response surface method (SRS M.
In the stochastic case, by using the stochastic analysis technique and the methods directly from deterministic control problems, Sakthivel et al. [12] considered the approximate controllability of fractional stochastic evolution equations.
We assume that f, g : R n → R n are smooth enough for SDE (2.1) to have a unique global solution on [ 0, ∞ ). Let us recall the stochastic θ numerical methods we will use below. The reader is referred to [15 17] for more details on the numerical methods.
"I use the stochastic oscillator for that.
The diffraction spectra were taken using the θ-2θ method.
To fit the linear model to a set of training data, θ ^ is normally determined using the least squares method [27]: f θ = ∑ i = 1 K Θ ⇀ i - φ i T θ 2 = Θ ⇀ - φ T θ T Θ ⇀ - φ T θ, (30).
A baseline algorithm using the recursive method requires Θ(n4) time and memory.
