Based on particle filter algorithm, the conformal geometric algebra method is applied to set particle parameters for the solution of the local occlusion problems caused by hand pose variation, and the tracking stability of the strip glove is improved.
These may then be used to obtain the set of non-dimensional parameters required for the solution of the equations (17), (18), (19) and (21).
By using the invariant manifold theory, the authors proved that for small values of the parameter ε, the solution of (1.10) attracted to a two-dimensional invariant manifold.
In this approach, the result of the ANN for predicting the LDC was considered as input parameter for the numerical solution of the ADE.
In a theoretic framework, these parameters are the basis for the solution of vibration problems using the theory of modal superposition.
Discrete geometric conservation laws (DGCLs) govern the geometric parameters of numerical schemes designed for the solution of unsteady flow problems on moving grids.
Table 8 Setting of parameters of the adaptive MEgPC approach for the solution of RODE ( 1 ) Degree of approximation p ˆ (3,3) Order of approximation p 3 Tolerance (time) TOL 10−8 Tolerance (elements) ε 10−8 Refinement threshold ρ 1 1 Coarsening threshold ρ 2 4. In Figure 4 we plot the densities computed by SCM5, UKF and MEgPC at times t ∈ { 3, 000, 3, 500, 3, 550 }.
Three different optimization algorithms for the solution of the parameter estimation problem are compared from within the EFCOSS environment.
Later, Sukon and Evans [21] have introduced two parameter alternating group explicit (TAGE) iterative methods for the solution of tri-diagonal linear system of equations.
In this work we propose a new hybrid global method, based on the combination of an evolutionary search strategy with a local multiple-shooting approach, which offers a reliable and efficient alternative for the solution of large scale parameter estimation problems.
