This variability plays a significant role in the so called mid-frequency region for dynamics and vibration, but wave-based methods are typically only applicable to homogeneous and uniform waveguides.
Conventional structural analysis methods are typically based on describing the structure as a system of simultaneous algebraic equations and solving the system by iteration.
Existing spatio-temporal modelling methods are typically based on either, an overlay of multi-temporal land cover maps, or temporal trend analysis of spatial pattern indices.
Such QM methods are typically based on either semi-empirical calculations [29] or ab initio methods using fractional approaches, e.g., the fragment molecular orbital (FMO) method or the molecular fractionation with conjugate caps (MFCC) and related methods [30, 31].
However, such methods are typically based on local-scale process understanding and simplifying assumptions and an increasing body of evidence suggests that hydrologic models that utilize parameters estimated via such approaches may not always perform well.
Imputation methods are typically based on reconstruction and phasing of inferred haplotypes.
Existing alignment methods are typically based on the exhaustive sampling over a discrete set of rigid transformations of one subtomogram with respect to a second.
Existing association methods are typically based on the univariate correlation analysis, which either correlates a single gene to the resultant phenotype(s) or vice versa.
Class specific methods are typically based on sequence or structure homology search but with some additional knowledge about the RNA, at present tRNAscan-SE [ 10], and RNAmmer [ 25] are built into the pipeline.
