Error Estimate and Adaptive Refinement in Mixed Discrete Least Squares Meshless Method

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">  Number of nodes </td><td align="center"> Norm of error for initial nodes </td><td align="center"> Norm of error for refined nodes </td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left"> 84 </td><td align="center"> 0.0195 </td><td align="center"> 0.0190 </td></tr><tr><td align="left"> 138 </td><td align="center"> 0.0135 </td><td align="center"> 0.0116 </td></tr><tr><td align="left"> 218 </td><td align="center"> 0.0091 </td><td align="center"> 0.0059 </td></tr><tr><td align="left"> 299 </td><td align="center"> 0.0071 </td><td align="center"> 0.0047 </td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Comparison of the error norms for initial and refined (using node moving) nodal configurations (Example <a href="https://static.hindawi.com/articles/mpe/volume-2014/721240/figures/#ex3">3</a>).

Mathematical Problems in Engineering

tab5

Table 5

Table 5: Error Estimate and Adaptive Refinement in Mixed Discrete Least Squares Meshless Method 