This makes the multiple block refinement extremenly slow, especially
when job is restarted with the maximum refinement level increased.
Signed-off-by: Grzegorz Kowal <grzegorz@amuncode.org>
In the case of embedded integration method, the time step resulting from
the error could drop to very small values. In such situation, the next
time step is taken to a maximum value between the time step due to error
and the stability time step multiplied by the safe factor. By default
this factor is set to 0.01.
Signed-off-by: Grzegorz Kowal <grzegorz@amuncode.org>
The meaning of these variables was inverted. Therefore, the limiting of
positive variables was not working.
Signed-off-by: Grzegorz Kowal <grzegorz@amuncode.org>
The period is controlled by two parameters:
'injection_time_start' - the beginning of the injection period,
'injection_time_stop' - the end of the injection period.
Signed-off-by: Grzegorz Kowal <grzegorz@amuncode.org>
The coefficient correspond to the maximum of the imaginary part of the
modified wave number to be 2e-6 and the integrated error to be 1.54e-11.
The subroutine was renamed to to OCMP9P, as pentadiagonal.
Signed-off-by: Grzegorz Kowal <grzegorz@amuncode.org>
The coefficient correspond to the maximum of the imaginary part of the
modified wave number to be 2e-6 and the integrated error to be 1.38e-11.
The subroutine was renamed to to OCMP7P, as pentadiagonal.
Signed-off-by: Grzegorz Kowal <grzegorz@amuncode.org>
The coefficient correspond to the maximum of the imaginary part of the
modified wave number to be 2e-6 and the integrated error to be 6.4e-12.
Signed-off-by: Grzegorz Kowal <grzegorz@amuncode.org>
There two variants selected using parameter 'ocmp_scheme_mode':
1) 'stable' - which guarantees the scheme numerical instability by
enforcing the stable dissipation errors
2) 'minimum' - which enforced the dissipation errors to be smaller than
2e-5
Signed-off-by: Grzegorz Kowal <grzegorz@amuncode.org>
Restore the original Suresh & Huynh limiter and add modification by
Ahn & Lee for compact schemes. Additionally, pass the variable
positivity flag and for positive variables modifie the lower limit
using the minimum value obtained from the cubic spline interpolation.
Signed-off-by: Grzegorz Kowal <grzegorz@amuncode.org>
This is an improvement in the case a job restarted with a higher
number of processes. The reading of data blocks is spread among new
processes, so it better balances memory.
Signed-off-by: Grzegorz Kowal <grzegorz@amuncode.org>
By default this parameter is set to zero and the behavior is the same as
before. However, if this parameter is set to a value larger than zero,
it determines the driving time scale for the Ornstein–Uhlenbeck method,
and the injection power for the Alvelius method.
Signed-off-by: Grzegorz Kowal <grzegorz@amuncode.org>
