
260 Meshless methods and their numerical properties
eld variables. Therefore, it may be very difcult to decide the number of
nodes required for inclusion in the xed RKPM interpolation. This issue led
to development of an error recovery technique based on LS averaging. After
numerical implementation, the newly developed technique both smooths
and improves the solutions and it is thus coupled with the ARDQ method.
In the ARDQ method, the nodal parameters u
I
at the eld node are com-
puted based on the certain order of the monomials included in the xed
RKPM interpolation function. Therefore, if total m nodes are used in the
interpolation doma ...