MITgcm/optim/simul.F



      subroutine simul(
     I                  indic,
     I                  nn,
     I                  xx,
     O                  objf,
     O                  adxx
     &                )

c     ==================================================================
c     SUBROUTINE simul
c     ==================================================================
c
c     o This routine is called by the large-scale optimization lsopt.
c
c       Input  : indic - Parameter (not used here).
c                nn    - Number of control variables.
c                xx    - Array  of control variables.
c
c       Output : objf  - Value of objective function.
c                adxx  - Gradients of objective function with respect
c                        to the control variables.
c
c
c     started: Christian Eckert eckert@mit.edu 15-Feb-2000
c
c     changed: Christian Eckert eckert@mit.edu 10-Mar-2000
c
c              - Added ECCO layout.
c
c     changed:  Patrick Heimbach heimbach@mit.edu 19-Jun-2000
c               - finished, revised and debugged
c
c     ==================================================================
c     SUBROUTINE simul
c     ==================================================================

      implicit none

c     == global variables ==

#include "EEPARAMS.h"
#include "SIZE.h"
#include "ctrl.h"

c     == routine arguments ==

      integer indic
      integer nn
      _RL   xx(nn)
      _RL   objf
      _RL   adxx(nn)

c     == local variables ==

      integer i
      _RL   adobjf

      logical lheaderonly

c     == end of interface ==

c--   Call the combined modified forward model and the adjoint model.
      do i = 1,nn
        adxx(i) = 0.0
      enddo
      adobjf = 1.0
c
      lheaderonly = .false.
      call optim_readdata( nn, ctrlname, lheaderonly, objf,   xx )
      call optim_readdata( nn, costname, lheaderonly, objf, adxx )

      indic = indic

cph(
      print *, ' leaving simul with nn, objf = ', nn, objf
      print *, ' leaving simul with xx, adxx = ', xx(1), adxx(1)
      do i=1,nn
c         if (xx(i).EQ.'NaN') then
c            print *, 'pathei - out: i = ', i
c         end if
      end do
cph)

      return
      end
1
2
3	subroutine simul(
4	I indic,
5	I nn,
6	I xx,
7	O objf,
8	O adxx
9	& )
10
11	c ==================================================================
12	c SUBROUTINE simul
13	c ==================================================================
14	c
15	c o This routine is called by the large-scale optimization lsopt.
16	c
17	c Input : indic - Parameter (not used here).
18	c nn - Number of control variables.
19	c xx - Array of control variables.
20	c
21	c Output : objf - Value of objective function.
22	c adxx - Gradients of objective function with respect
23	c to the control variables.
24	c
25	c
26	c started: Christian Eckert eckert@mit.edu 15-Feb-2000
27	c
28	c changed: Christian Eckert eckert@mit.edu 10-Mar-2000
29	c
30	c - Added ECCO layout.
31	c
32	c changed: Patrick Heimbach heimbach@mit.edu 19-Jun-2000
33	c - finished, revised and debugged
34	c
35	c ==================================================================
36	c SUBROUTINE simul
37	c ==================================================================
38
39	implicit none
40
41	c == global variables ==
42
43	#include "EEPARAMS.h"
44	#include "SIZE.h"
45	#include "ctrl.h"
46
47	c == routine arguments ==
48
49	integer indic
50	integer nn
51	_RL xx(nn)
52	_RL objf
53	_RL adxx(nn)
54
55	c == local variables ==
56
57	integer i
58	_RL adobjf
59
60	logical lheaderonly
61
62	c == end of interface ==
63
64	c-- Call the combined modified forward model and the adjoint model.
65	do i = 1,nn
66	adxx(i) = 0.0
67	enddo
68	adobjf = 1.0
69	c
70	lheaderonly = .false.
71	call optim_readdata( nn, ctrlname, lheaderonly, objf, xx )
72	call optim_readdata( nn, costname, lheaderonly, objf, adxx )
73
74	indic = indic
75
76	cph(
77	print *, ' leaving simul with nn, objf = ', nn, objf
78	print *, ' leaving simul with xx, adxx = ', xx(1), adxx(1)
79	do i=1,nn
80	c if (xx(i).EQ.'NaN') then
81	c print *, 'pathei - out: i = ', i
82	c end if
83	end do
84	cph)
85
86	return
87	end