/[MITgcm]/manual/s_autodiff/text/doc_ad_2.tex
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revision 1.7 by cnh, Thu Oct 25 18:36:55 2001 UTC revision 1.9 by heimbach, Tue Nov 13 21:06:21 2001 UTC
# Line 607  at every timestep Line 607  at every timestep
607  [i.e. every hour $ i=0,...,5$ corresponding to  [i.e. every hour $ i=0,...,5$ corresponding to
608  $ k_{i}^{lev1} = 66, 67, \ldots, 71 $].  $ k_{i}^{lev1} = 66, 67, \ldots, 71 $].
609  Thus, the  final state $ v_n = v_{k_{n}^{lev1}} $ is reached  Thus, the  final state $ v_n = v_{k_{n}^{lev1}} $ is reached
610  and the model state of all  proceeding timesteps along the last  and the model state of all proceeding timesteps along the last
611  sub-subsections are available, enabling integration backwards  sub-subsections are available, enabling integration backwards
612  in time along the last sub-subsection.  in time along the last sub-subsection.
613  Thus, the adjoint can be computed along this last  Thus, the adjoint can be computed along this last
# Line 1782  The gradient $ \nabla _{u}{\cal J} |_{u_ Line 1782  The gradient $ \nabla _{u}{\cal J} |_{u_
1782  with the value of the cost function itself $ {\cal J}(u_{[k]}) $  with the value of the cost function itself $ {\cal J}(u_{[k]}) $
1783  at iteration step $ k $ serve  at iteration step $ k $ serve
1784  as input to a minimization routine (e.g. quasi-Newton method,  as input to a minimization routine (e.g. quasi-Newton method,
1785  conjugate gradient, ... \cite{gil_lem:89})  conjugate gradient, ... \cite{gil-lem:89})
1786  to compute an update in the  to compute an update in the
1787  control variable for iteration step $k+1$  control variable for iteration step $k+1$
1788  \[  \[

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