The role of diagonalization within a diagonalization/Monte Carlo scheme
High Energy Physics - Lattice
2009-10-31 v1
Abstract
We discuss a method called quasi-sparse eigenvector diagonalization which finds the most important basis vectors of the low energy eigenstates of a quantum Hamiltonian. It can operate using any basis, either orthogonal or non-orthogonal, and any sparse Hamiltonian, either Hermitian, non-Hermitian, finite-dimensional, or infinite-dimensional. The method is part of a new computational approach which combines both diagonalization and Monte Carlo techniques.
Keywords
Cite
@article{arxiv.hep-lat/0010095,
title = {The role of diagonalization within a diagonalization/Monte Carlo scheme},
author = {Dean Lee},
journal= {arXiv preprint arXiv:hep-lat/0010095},
year = {2009}
}
Comments
3 pages, to appear in the proceedings of DPF2000, Columbus, August 2000