Due to calculations with real numbers of finite length as floating point representations (including 64-bit double-precision numbers of the IEEE 754-2008 subsequent subsequent rounding and calculation errors, utilized approximations and heuristics, computer programs that implement geometric feature extraction algorithms can at best come close to this ideal [16].
In summary, evaluations by [11] show that the utilized approximation method scales linearly with a resource dependency model's complexity in terms of nodes and edges, scales linearly with the number of simulation rounds, and scales linearly with the number of found Boolean disjunctions.
Specifically, we initially discuss control methods for particulate processes which utilize suitable approximations of population balance models to design nonlinear, robust and predictive control systems and demonstrate their application to crystallization and aerosol processes.
Instead of using ODE solvers to estimate x t) and x ˙ (t ), one can utilize spline approximation.
Many well-accepted Schapery models utilize an approximation, νij·νkl≈0 i,j,k,l= 1,2,3), to formulate the matrix micro-damage evolution equation.
The quantum dot shape indicates that particle motion along the Z-axis takes place faster than in the normal direction, this also allows to utilize adiabatic approximation.
Sureshjani et al. (2012) proposed the same interporosity flow equation in a different form with a different approach utilizing two approximations in a different derivation: frac{{mu_{text{gi}} c_{text{gi}} }}{{mu_{text{g}} c_{text{g}} }} approx frac{p/Z}{{(p/Z)_{text{i}} }} (19) quadquad t approx t_{text{a}} (20).
In this study, the Rotne-Prager tensor [20] is utilized as approximations to the hydrodynamic interaction: { D i j = k B T 6 π η a δ i j, i, j on the same particle D i j = k B T 8 π η r i j [ ( I ¯ ¯ + r ¯ i j r ¯ i j r i j 2 ) + 2 a 2 r i j 2 ( 1 3 I ¯ ¯ − r ¯ i j r ¯ i j r i j 2 ) ] (2).
In " On the difference in quality between current heuristic and optimal solutions to the protein structure alignment problem," M. Arriagada and A. Poleksic utilize an approximation algorithm for protein structure matching to demonstrate that a deep search of the protein superposition space leads to increased alignment accuracy with respect to many well-established measures of alignment quality.
An adaptive neural controller is designed by utilizing the approximation technique of neural network.
