Gromacs
2024.4
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Essential dynamics vector. TODO: split into working data and input data NOTE: called eigvec, because traditionally eigenvectors from PCA analysis were used as essential dynamics vectors, however, vectors used for ED need not have any special properties.
Public Attributes | |
int | neig = 0 |
nr of eigenvectors | |
int * | ieig = nullptr |
index nrs of eigenvectors | |
real * | stpsz = nullptr |
stepsizes (per eigenvector) | |
rvec ** | vec = nullptr |
eigenvector components | |
real * | xproj = nullptr |
instantaneous x projections | |
real * | fproj = nullptr |
instantaneous f projections | |
real | radius = 0. |
instantaneous radius | |
real * | refproj = nullptr |
starting or target projections | |