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Two classes of methods are introduced.
Molecular dynamics methods can be classified into more specific classes of methods.
Two classes of methods for wireless communication security have been exploited.
In the literature, three classes of methods for channel identification are presented.
The decomposition of proteins into constituent modules can be accomplished by either of two classes of methods.
Input/output and output-only eigenstructure identification methods are described and compared, within two classes of methods: subspace-based and prediction error.
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A class of methods having optimal stability characteristics is defined.
Energy issues have persisted for this class of methods.
The first class of methods relies on "suppositional" criteria to assign amino acids to modules, whereas the second class of methods relies on "coevolutionary" criteria for this task.
The second class of methods relies on Bayesian inference and Markov Chain Monte Carlo (MCMC) methods [3 5].
This class of methods depends on the finite difference method based on the Hermite formula.
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