Sentence examples for by directly approximating from inspiring English sources

Gao et al. [11] (2014) introduced a numerical scheme to approximate the Caputo fractional derivative with the convergence rate O k3−α), 0<α<1 by directly approximating the integer-order derivative with some finite difference quotients in the definition of the Caputo fractional derivative, see also Lv and Xu [20] (2016), where k is the time step size.

Directly approximating images from biohash vectors may also be possible by integrating the PCA transformation with random projection matrix and solving the optimization problem by enforcing sparsity in the DCT or block-DCT domain.

For the discretization (16), the numerical flux is directly approximated by the solution gradient.

In the design of adaptive output feedback dynamic surface control, the unknown nonlinear functions are directly approximated by neural networks, while the coupling terms being lumped together with those unknown continuous functions produced in deduction are approximated as a whole.

The unknown nonlinearities include two types of nonlinear functions: one satisfies the "triangularity condition" and can be directly approximated by fuzzy logic system, while the other is assumed to be partially known and consists of parametric uncertainties.

Q-Learning is a TD learning algorithm that directly approximates Q-values by means of its update function begin{aligned} Q(s_{t}, r_{t}) leftarrow & ; Q(s_{t}, r_{t}) & quad + alpha left[gamma max limits_{r} left[ Q(s_{t+1}, r) right] - Q(s_{t}, r_{t}) right], end{aligned} (4).

Based on the above and taking into account that genetic processes are slower than metabolic ones, one can expect that if the metabolic fluxes in these organisms are sufficiently driven by transcriptional regulation, they could be directly approximated from gene expression data sets under diurnal conditions.

This algorithm incorporates the Monte Carlo sampling into the distributed fusion architecture, by which the posterior distribution can be directly approximated with particles.

Watkins [26] introduced the popular one step reinforcement learning model, Q-Learning, which directly approximates the optimal action-value to be followed by the learning player.

However, the existing ISPH method directly approximates the second order derivatives of the functions to be solved by using the Poisson equation.

To model the local phenomena associated with plasticity, the plastic parameter increments are also directly approximated.