[CP2K-user] [CP2K:11324] Weird "convergence" of L-BFGS CELL_OPT
Thomas Kühne
tku... at gmail.com
Fri Feb 22 13:52:54 UTC 2019
Dear Daniele,
in the LBFGS method convergence used to be decided upon the projected
gradient and the relative force error only, the convergence checks are just
printed for information. You can use the BFGS method instead, which converges
only if all checks are met. However, the implementation details are slightly
different, which is why typically more BFGS steps are required.
Best,
Thomas
> Am 22.02.2019 um 14:39 schrieb Daniele Ongari <daniele... at gmail.com>:
>
> Dear CP2K mailing list,
>
> We experience a strange behavior of the L-BFGS optimization algorithm when dealing with cases where SCF convergence is problematic.
>
> After 20 minimization steps the cp2k printed the following:
>
>
> -------- Informations at step = 21 ------------
> Optimization Method = LBFGS
> Total Energy = -2345.6430825804
> Internal Pressure [bar] = 23.9760390703
> Real energy change = 0.0028283710
> Decrease in energy = NO
> Used time = 5864.105
>
> Convergence check :
> Max. step size = 0.0000000000
> Conv. limit for step size = 0.0030000000
> Convergence in step size = YES
> RMS step size = 0.0000000000
> Conv. limit for RMS step = 0.0015000000
> Convergence in RMS step = YES
> Max. gradient = 0.0082916384
> Conv. limit for gradients = 0.0004500000
> Conv. for gradients = NO
> RMS gradient = 0.0009846623
> Conv. limit for RMS grad. = 0.0003000000
> Conv. for gradients = NO
> Pressure Deviation [bar] = -76.0239609297
> Pressure Tolerance [bar] = 100.0000000000
> Conv. for PRESSURE = YES
> ---------------------------------------------------
>
> --------------------------
> OPTIMIZATION STEP: 22
> --------------------------
>
> ***********************************************
> * Specific L-BFGS convergence criteria
> * WANTED_PROJ_GRADIENT and WANTED_REL_F_ERROR
> * satisfied .... run CONVERGED!
> ***********************************************
>
>
>
> The two things that look strange for us are:
>
> 1) Max. step size and RMS step size were 'artificially' set to 0.0000000000
> 2) Not all checks are showing convergence, while L-BFGS algorithm has decided to stop.
>
>
> Therefore, we would like to know if this is an expected behavior of the L-BFGS algorithm and if yes, what is the reason behind working this way?
>
> Please see input and output files attached.
>
> With best regards,
> Daniele and Sasha
>
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