Eigenvalue optimisation problems involve identifying design or material configurations that either maximise or minimise the eigenvalues associated with differential operators under given boundary ...

Nonlinear eigenvalue problems arise when one seeks pairs (λ,u) satisfying an equation of the form F(λ,u)=0 in a function space, subject to boundary or decay conditions. In contrast to linear spectral ...

There are two main techniques to implement PCA. The first technique, sometimes called classical, computes eigenvalues and eigenvectors from a covariance matrix derived from the source data. The second ...