Animal Model Evaluation in Finland: Experience with Two Algorithms

The second-order Jacobi algorithm was modified to be 20% more memory efficient. The successive overrelaxation algorithm for breeding values was implemented to use less memory than the second-order Jacobi algorithm. Correlations between solutions after 300 rounds and intermediate solutions during the iteration were calculated to compare the algorithms. The algorithm with successive overrelaxation of breeding values converged to the final solutions faster. However, the second-order Jacobi iteration took less time per round than the successive overrelaxation algorithm.