Note on Quantizing Deflation Subspaces

Here I simulate a roughly 4x reduction in storage for a deflation basis with almost no change in iteration count on three test problems. Packing the basis this way could reduce memory traffic and make deflation cheaper. Deflation methods allow you to precompute and store a deflation basis for a matrix A and use that stored basis to accelerate convergence on subsequent iterative solves involving A…