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1 er of principal components (eigen-vectors or eigenfunctions).
2 available for further analyses as secondary eigenfunctions.
4 irm the dominant spectral frequencies of the eigenfunctions and locate them as (absolute valued) modu
6 e hydrophobic free energy sequences or their eigenfunctions; and (iii) discrete, best bases, trigonom
8 ortex knots occur frequently, even in random eigenfunctions at relatively low energy, and are constra
10 echniques to address these difficulties: (i) eigenfunction construction from the linear decomposition
11 lex-valued firing-rate model derived from an eigenfunction expansion of the Fokker-Planck equation an
12 this property by computing the ground-state eigenfunction for a simplified Schrodinger operator with
14 odes approximate the eigenvalue spectrum and eigenfunctions in a systematically improvable manner, an
16 ical evidence to support the conjecture that eigenfunctions inherit this property by computing the gr
17 of the leading eigenvector-derived, m(1)AChR eigenfunctions locates seven hydrophobic transmembrane s
19 method explicitly finds the eigenvalues and eigenfunctions of the diffusion generator associated wit
21 kernel and its gradient, as well as for the eigenfunctions of the Laplacian and their gradient, that
23 The spectral method exploits the natural eigenfunctions of the master equation of birth-death pro
24 Hermite functions," a generalization of the eigenfunctions of the quantum harmonic oscillator and th
27 Constructions of hydrophobic free energy eigenfunctions, psil, from M-lagged, M x M autocovarianc
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