As an alternative to the usual computer simulation, we develop an error event analysis, which has a much lower computational cost, and apply it to two LDPC codes of the IEEE802.11n standard used as examples in this article.
This results in a finite element model with much lower computational requirements.
The new scheme consistently performs better and with much lower computational cost.
Besides, it achieves these by relatively much lower computational cost than compared EAs.
Much lower computational time of the DQM with respect to Newmark's method is exhibited.
In comparison with a detailed finite elements model, the present model obtains a similar accuracy in much lower computational times.
The model is shown to deliver predictions similar to the cohesive zone model (CZM) at a much lower computational cost.
The simulation results show that our proposed algorithm obtains near-optimal performance and operates with much lower computational complexity.
Since simpler subproblems are involved at each iteration and they can be tackled efficiently, the proposed algorithm has a much lower computational complexity than the existing algorithm.
The proposed approach allows fulfilling both accuracy and low computational burden criteria, providing similar accuracy than the three-dimensional finite element method but with much lower computational requirements.
We apply the method to large linear elastic 2D identification problems to efficiently produce estimates of the material properties at a much lower computational cost than classical approaches.
