5.16. minimizer¶
Minimization algorithms.
Functions
Automatic preconditioned conjugate-gradient minimization algorithm. |
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Conjugate-gradient minimization algorithm. |
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Do different variants of the conjugate gradient method. |
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Test the gradient-orthogonality theorem, i.e., g and g_old should be orthogonal. |
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Check the energies for every SCF cycle and handle the output. |
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Do the line minimization test. |
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Line minimization algorithm. |
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Preconditioned conjugate-gradient minimization algorithm. |
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Preconditioned line minimization algorithm. |
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Print the data of one SCF step and the header at the beginning. |
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Perform one SCF step for a DFT calculation. |
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Steepest descent minimization algorithm. |
Data
- eminus.minimizer.IMPLEMENTED¶
Map minimizer names with their respective implementation.