Many quantum algorithms are developed to evaluate eigenvalues for Hermitian matrices. However, few practical approach exists for the eigenanalysis of non-Hermintian ones, such as arising from modern ...

The prediction of drug-target interactions is of key importance for the identification of new drugs or novel targets for existing drugs. However, validating drug targets by experiments is expensive ...

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, ...