arXiv · hep-lat/0010095
The role of diagonalization within a diagonalization/Monte Carlo scheme
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.
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Dean Lee. 2000-10-31. The role of diagonalization within a diagonalization/Monte Carlo scheme. https://doi.org/10.1142/s0217751x01009430
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