A combination of numerical techniques designed for efficient computati
ons with very large basis sets which enables the spectral analysis of
transitional-mode eigenstates in the dissociation of ketene is describ
ed. At the heart of our methods is a pseudo-spectral algorithm for the
action of the transitional mode Hamiltonian (describing the rocking/b
ending motion of the dissociating fragments) on a state vector. This a
llows the multiplication of the state vector by the Hamiltonian matrix
without explicitly storing the matrix, thus enabling very large basis
sets to be managed. With the radial separation between the fragments
frozen, transitional-mode eigenstates at energies close to threshold,
where the adiabatic channels are moderately well separated, are readil
y computed with the Lanczos iterative technique. At higher energies th
e spectrum rapidly becomes extremely dense and convergence of the Lanc
zos algorithm is very slow. However, combinations of eigenfunctions wi
th a bandwidth of a few wavenumbers or better can be obtained by shift
ed inverse iteration. Illustrative results from computations using the
Klippenstein-Marcus model interaction potential for ketene are presen
ted.