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- Some very large sparse matrices are infeasible to manipulate using standard dense-matrix algorithms.
- The benefit of this strategy is that the implicit solver only requires a Tridiagonal matrix algorithm to be solved.
- It has several advantages over Isomap, including faster optimization when implemented to take advantage of sparse matrix algorithms, and better results with many problems.
- This can be done efficiently if both solutions are computed at once, as the forward portion of the pure tridiagonal matrix algorithm can be shared.
- In this study, the researchers simulated a social network of 900 participants, called nodes, which were connected into a network using a matrix algorithm.