The added populations of the two new jurisdictions, in turn, led to a larger double matrix.

This is known to be hard to compute for large matrices.

When dealing with large matrices, this algorithm tends to shuffle data around too much.

At its side, cradled in the silk shock-absorber, was the largest matrix I had ever seen.

I wasn't happy about trying to key a group of inexperienced telepaths into a really large matrix, either.

Manipulating and calculating this vector is easier than working with a large matrix or linear system.

However, this is often impossible for larger matrices, in which case we must use a numerical method.

It is particularly useful for finding decompositions of very large sparse matrices.

Thus these techniques are suited for large, sparse matrices.

Special algorithms have been developed for factorizing large sparse matrices.