[MITgcm-devel] restarting an optimization

[Patrick Heimbach]

Hi Martin,

the control vector is only packed at iter. 0
(since no packed file exists then).
For iter. > 0 only the gradient is packed, i.e. ecco_cost...$iter is generated
(since ecco_ctrl...$iter is already available as the output from the line search).
Should be easy to "trick" the model to pack both
(in S/R the_model_main).

-p.

On May 10, 2011, at 11:59 AM, Martin Losch wrote:

> Hi there,
> 
> rather than repeat the entire optimization, I'd like to restart one at some iteration, after resetting one of the control parameters. In my case, I want to modify xx_theta (initial conditions for theta). I thought that when I modifiy xx_theta.${iteration}.data while the adjoint model is running, ctrl_pack should use the modified version and pack it into the control vector that is read by optim.x
> However, the result is discouraging: nothing substantial changed. What else do I need to reset such an iteration? Force a cold start by the optimizer?
> 
> Martin
> 
> 
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