ForceBalance API
1.3
Automated optimization of force fields and empirical potentials
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Go to the source code of this file.
Classes | |
class | src.abinitio.AbInitio |
Subclass of Target for fitting force fields to ab initio data. More... | |
Namespaces | |
src.abinitio | |
forcebalance.abinitio | |
Ab-initio fitting module (energies, forces, resp). | |
Functions | |
def | src.abinitio.norm2 (arr, a=0, n=None, step=3) |
Given a one-dimensional array, return the norm-squared of every "step" elements, starting at 'a' and computing 'n' total elements (so arr[a:a+step*n] must be valid). More... | |
def | src.abinitio.compute_objective_part (SPX, QQ0, Q0, Z, a, n, energy=False, subtract_mean=False, divide=1, L=None, R=None, L2=None, R2=None) |
def | src.abinitio.plot_qm_vs_mm (Q, M, M_orig=None, title='') |
Variables | |
src.abinitio.logger = getLogger(__name__) | |