It is often desired to solve eigenvalue problems of the type (A - &lgr;1)C = 0 or (A - &lgr;B)C = 0 repeatedly for similar values of the matrix elements Aij, where A and B are Hermitean or real ...

ABSTRACT: Variational methods are highly valuable computational tools for solving high-dimensional quantum systems. In this paper, we explore the effectiveness of three variational methods: density ...

I noticed that in the Koopman Reweighting Estimator, the selected eigenvector (that determines the weights), is chosen to be the one with the largest eigenvalue rather than the one with eigenvalue 1.

This article presents a from-scratch C# implementation of the second technique: using SVD to compute eigenvalues and eigenvectors from the standardized source data. If you're not familiar with PCA, ...

Abstract: An analytic parahermitian matrix admits in almost all cases an eigenvalue decomposition (EVD) with analytic eigenvalues and eigenvectors. We have previously defined a discrete Fourier ...

I need a feature in which I can set the number of eigenvalues to return for a sparse hermitian matrix. As I noticed reading the source code (since there isn't a documentation), the actual ...