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fvforall.f90
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1!> @file fvforall.f90
2!! @ingroup FORT1THREAD_EXAMPLES
3!!
4!!
5!! This is the pindyck example rewritten to use the FVforAll
6!! way of defining nonlinear functions. All functions, linear as
7!! well as nonlinear, will be called.
8!!
9!!
10!! For more information about the individual callbacks, please have a look at the source code.
11
12#if defined(_WIN32) && !defined(_WIN64)
13#define dec_directives_win32
14#endif
15
16!> Main program. A simple setup and call of CONOPT
17!!
18Program fvforall
19 Use proginfo
21 Use data_t
22 Implicit none
23!
24! Declare the user callback routines as Integer, External:
25!
26 Integer, External :: pin_readmatrix ! Mandatory Matrix definition routine defined below
27 Integer, External :: pin_fdeval ! Function and Derivative evaluation routine
28 ! needed a nonlinear model.
29 Integer, External :: std_status ! Standard callback for displaying solution status
30 Integer, External :: pin_solution ! Specialized callback for displaying solution values
31 Integer, External :: std_message ! Standard callback for managing messages
32 Integer, External :: std_errmsg ! Standard callback for managing error messages
33#ifdef dec_directives_win32
34!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Pin_ReadMatrix
35!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Pin_FDEval
36!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Std_Status
37!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Pin_Solution
38!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Std_Message
39!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Std_ErrMsg
40#endif
41!
42! Control vector
43!
44 INTEGER, Dimension(:), Pointer :: cntvect
45 INTEGER :: coi_error
46!
47! Other variables
48!
49 INTEGER :: major, minor, patch
50
51 call startup
52!
53! Create and initialize a Control Vector
54!
55 coi_error = coi_create( cntvect )
56
57! Write which version of CONOPT we are using.
58
59 call coiget_version( major, minor, patch )
60 write(*,"('Solving Pindyck Model using CONOPT version ',i2,'.',i2,'.',i2)") major, minor, patch
61!
62! Define the number of time periods, T.
63!
64 t = 16
65!
66! Tell CONOPT about the size of the model by populating the Control Vector:
67!
68! Number of variables (excl. slacks): 7 per period
69!
70 coi_error = max( coi_error, coidef_numvar( cntvect, 7 * t ) )
71!
72! Number of equations: 1 objective + 6 per period
73!
74 coi_error = max( coi_error, coidef_numcon( cntvect, 1 + 6 * t ) )
75!
76! Number of nonzeros in the Jacobian. See the counting in ReadMatrix below:
77! For each period there is 1 in the objective, 16 for unlagged
78! variables and 4 for lagged variables.
79!
80 coi_error = max( coi_error, coidef_numnz( cntvect, 17 * t + 4 * (t-1) ) )
81!
82! Number of nonlinear nonzeros. 5 unlagged for each period.
83!
84 coi_error = max( coi_error, coidef_numnlnz( cntvect, 5 * t ) )
85!
86! Direction: +1 = maximization.
87!
88 coi_error = max( coi_error, coidef_optdir( cntvect, 1 ) )
89!
90! Objective: Constraint no 1
91!
92 coi_error = max( coi_error, coidef_objcon( cntvect, 1 ) )
93!
94! Define that all functions should be called.
95!
96 coi_error = max( coi_error, coidef_fvforall( cntvect, +1 ) )
97!
98! Turn function debugging on in the initial point to check if it is consistent
99! with FVforAll:
100!
101 coi_error = max( coi_error, coidef_debugfv( cntvect, +1 ) )
102!
103! Tell CONOPT about the callback routines:
104!
105 coi_error = max( coi_error, coidef_readmatrix( cntvect, pin_readmatrix ) )
106 coi_error = max( coi_error, coidef_fdeval( cntvect, pin_fdeval ) )
107 coi_error = max( coi_error, coidef_status( cntvect, std_status ) )
108 coi_error = max( coi_error, coidef_solution( cntvect, pin_solution ) )
109 coi_error = max( coi_error, coidef_message( cntvect, std_message ) )
110 coi_error = max( coi_error, coidef_errmsg( cntvect, std_errmsg ) )
111
112#if defined(CONOPT_LICENSE_INT_1) && defined(CONOPT_LICENSE_INT_2) && defined(CONOPT_LICENSE_INT_3) && defined(CONOPT_LICENSE_TEXT)
113 coi_error = max( coi_error, coidef_license( cntvect, conopt_license_int_1, conopt_license_int_2, conopt_license_int_3, conopt_license_text) )
114#endif
115
116 If ( coi_error .ne. 0 ) THEN
117 write(*,*)
118 write(*,*) '**** Fatal Error while loading CONOPT Callback routines.'
119 write(*,*)
120 call flog( "Skipping Solve due to setup errors", 1 )
121 ENDIF
122!
123! Save the solution so we can check the duals:
124!
125 do_allocate = .true.
126!
127! Start CONOPT:
128!
129 coi_error = coi_solve( cntvect )
130
131 write(*,*)
132 write(*,*) 'End of FVforAll Model. Return code=',coi_error
133
134 If ( coi_error /= 0 ) then
135 call flog( "Errors encountered during solution", 1 )
136 elseif ( stacalls == 0 .or. solcalls == 0 ) then
137 call flog( "Status or Solution routine was not called", 1 )
138 elseif ( sstat /= 1 .or. mstat /= 2 ) then
139 call flog( "Solver and Model Status was not as expected (1,2)", 1 )
140 elseif ( abs( obj-1170.4863d0 ) > 0.0001d0 ) then
141 call flog( "Incorrect objective returned", 1 )
142 Else
143 Call checkdual( 'FVforAll', maximize )
144 endif
145
146 if ( coi_free(cntvect) /= 0 ) call flog( "Error while freeing control vector",1)
147
148 call flog( "Successful Solve", 0 )
149!
150! Free solution memory
151!
152 call finalize
153
154end Program fvforall
155!
156! =====================================================================
157! Define information about the model structure
158!
159
160!> Define information about the model
161!!
162!! @include{doc} readMatrix_params.dox
163Integer Function pin_readmatrix( lower, curr, upper, vsta, type, rhs, esta, &
164 colsta, rowno, value, nlflag, n, m, nz, usrmem )
165#ifdef dec_directives_win32
166!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Pin_ReadMatrix
167#endif
168 Use data_t
169 implicit none
170 integer, intent (in) :: n ! number of variables
171 integer, intent (in) :: m ! number of constraints
172 integer, intent (in) :: nz ! number of nonzeros
173 real*8, intent (in out), dimension(n) :: lower ! vector of lower bounds
174 real*8, intent (in out), dimension(n) :: curr ! vector of initial values
175 real*8, intent (in out), dimension(n) :: upper ! vector of upper bounds
176 integer, intent (in out), dimension(n) :: vsta ! vector of initial variable status
177 ! (not defined here)
178 integer, intent (out), dimension(m) :: type ! vector of equation types
179 integer, intent (in out), dimension(m) :: esta ! vector of initial equation status
180 ! (not defined here)
181 real*8, intent (in out), dimension(m) :: rhs ! vector of right hand sides
182 integer, intent (in out), dimension(n+1) :: colsta ! vector with start of column indices
183 integer, intent (out), dimension(nz) :: rowno ! vector of row numbers
184 integer, intent (in out), dimension(nz) :: nlflag ! vector of nonlinearity flags
185 real*8, intent (in out), dimension(nz) :: value ! vector of matrix values
186 real*8 usrmem(*) ! optional user memory
187
188 Integer :: it, is, i, icol, iz
189!
190! Define the information for the columns.
191!
192! We should not supply status information, vsta.
193!
194! We order the variables as follows:
195! td, cs, s, d, r, p, and rev. All variables for period 1 appears
196! first followed by all variables for period 2 etc.
197!
198! td, cs, s, and d have lower bounds of 0, r and p have lower
199! bounds of 1, and rev has no lower bound.
200! All have infinite upper bounds (default).
201! The initial value of td is 18, s is 7, cs is 7*t, d is td-s,
202! p is 14, and r is r(t-1)-d. No initial value for rev.
203!
204 do it = 1, t
205 is = 7*(it-1)
206 lower(is+1) = 0.d0
207 lower(is+2) = 0.d0
208 lower(is+3) = 0.d0
209 lower(is+4) = 0.d0
210 lower(is+5) = 1.d0
211 lower(is+6) = 1.d0
212 curr(is+1) = 18.d0
213 curr(is+2) = 7.d0*it
214 curr(is+3) = 7.d0
215 curr(is+4) = curr(is+1) - curr(is+3)
216 if ( it .gt. 1 ) then
217 curr(is+5) = curr(is+5-7) - curr(is+4)
218 else
219 curr(is+5) = 500.d0 - curr(is+4)
220 endif
221 curr(is+6) = 14.d0
222 enddo
223!
224! Define the information for the rows
225!
226! We order the constraints as follows: The objective is first,
227! followed by tddef, sdef, csdef, ddef, rdef, and revdef for
228! the first period, the same for the second period, etc.
229!
230! The objective is a nonbinding constraint:
231!
232 type(1) = 3
233!
234! All others are equalities:
235!
236 do i = 2, m
237 type(i) = 0
238 enddo
239!
240! Right hand sides: In all periods except the first, only tddef
241! has a nonzero right hand side of 1+2.3*1.015**(t-1).
242! In the initial period there are contributions from lagged
243! variables in the constraints that have lagged variables.
244!
245 do it = 1, t
246 is = 1 + 6*(it-1)
247 rhs(is+1) = 1.d0+2.3d0*1.015d0**(it-1)
248 enddo
249!
250! tddef: + 0.87*td(0)
251!
252 rhs(2) = rhs(2) + 0.87d0*18.d0
253!
254! sdef: +0.75*s(0)
255!
256 rhs(3) = 0.75d0*6.5d0
257!
258! csdef: +1*cs(0)
259!
260 rhs(4) = 0.d0
261!
262! rdef: +1*r(0)
263!
264 rhs(6) = 500.d0
265!
266! Define the structure and content of the Jacobian:
267! To help define the Jacobian pattern and values it can be useful to
268! make a picture of the Jacobian. We describe the variables for one
269! period and the constraints they are part of:
270!
271! td cs s d r p rev
272! Obj (1+r)**(1-t)
273! Period t:
274! tddef 1.0 0.13
275! sdef NL 1.0 NL
276! csdef 1.0 -1.0
277! ddef -1.0 1.0 1.0
278! rdef 1.0 1.0
279! revdef NL NL NL 1.0
280! Period t+1:
281! tddef -0.87
282! sdef -0.75
283! csdef -1.0
284! ddef
285! rdef -1.0
286! revdef
287!
288! The Jacobian has to be sorted column-wise so we will just define
289! the elements column by column according to the table above:
290!
291 iz = 1
292 icol = 1
293 do it = 1, t
294!
295! is points to the position before the first equation for the period
296!
297 is = 1 + 6*(it-1)
298!
299! Column td:
300!
301 colsta(icol) = iz
302 icol = icol + 1
303 rowno(iz) = is+1
304 value(iz) = +1.d0
305 nlflag(iz) = 0
306 iz = iz + 1
307 rowno(iz) = is+4
308 value(iz) = -1.d0
309 nlflag(iz) = 0
310 iz = iz + 1
311 if ( it .lt. t ) then
312 rowno(iz) = is+7
313 value(iz) = -0.87d0
314 nlflag(iz) = 0
315 iz = iz + 1
316 endif
317!
318! Column cs
319!
320 colsta(icol) = iz
321 icol = icol + 1
322 rowno(iz) = is+2
323 nlflag(iz) = 1
324 iz = iz + 1
325 rowno(iz) = is+3
326 value(iz) = +1.d0
327 nlflag(iz) = 0
328 iz = iz + 1
329 if ( it .lt. t ) then
330 rowno(iz) = is+9
331 value(iz) = -1.d0
332 nlflag(iz) = 0
333 iz = iz + 1
334 endif
335!
336! Column s
337!
338 colsta(icol) = iz
339 icol = icol + 1
340 rowno(iz) = is+2
341 value(iz) = +1.d0
342 nlflag(iz) = 0
343 iz = iz + 1
344 rowno(iz) = is+3
345 value(iz) = -1.d0
346 nlflag(iz) = 0
347 iz = iz + 1
348 rowno(iz) = is+4
349 value(iz) = +1.d0
350 nlflag(iz) = 0
351 iz = iz + 1
352 if ( it .lt. t ) then
353 rowno(iz) = is+8
354 value(iz) = -0.75d0
355 nlflag(iz) = 0
356 iz = iz + 1
357 endif
358!
359! Column d:
360!
361 colsta(icol) = iz
362 icol = icol + 1
363 rowno(iz) = is+4
364 value(iz) = +1.d0
365 nlflag(iz) = 0
366 iz = iz + 1
367 rowno(iz) = is+5
368 value(iz) = +1.d0
369 nlflag(iz) = 0
370 iz = iz + 1
371 rowno(iz) = is+6
372 nlflag(iz) = 1
373 iz = iz + 1
374!
375! Column r:
376!
377 colsta(icol) = iz
378 icol = icol + 1
379 rowno(iz) = is+5
380 value(iz) = +1.d0
381 nlflag(iz) = 0
382 iz = iz + 1
383 rowno(iz) = is+6
384 nlflag(iz) = 1
385 iz = iz + 1
386 if ( it .lt. t ) then
387 rowno(iz) = is+11
388 value(iz) = -1.d0
389 nlflag(iz) = 0
390 iz = iz + 1
391 endif
392!
393! Column p:
394!
395 colsta(icol) = iz
396 icol = icol + 1
397 rowno(iz) = is+1
398 value(iz) = +0.13d0
399 nlflag(iz) = 0
400 iz = iz + 1
401 rowno(iz) = is+2
402 nlflag(iz) = 1
403 iz = iz + 1
404 rowno(iz) = is+6
405 nlflag(iz) = 1
406 iz = iz + 1
407!
408! Column rev:
409!
410 colsta(icol) = iz
411 icol = icol + 1
412 rowno(iz) = +1
413 value(iz) = 1.05d0**(1-it)
414 nlflag(iz) = 0
415 iz = iz + 1
416 rowno(iz) = is+6
417 value(iz) = 1.d0
418 nlflag(iz) = 0
419 iz = iz + 1
420 enddo
421 colsta(icol) = iz
424
425end Function pin_readmatrix
426!
427! =====================================================================
428! Compute nonlinear terms and non-constant Jacobian elements
429!
430
431!> Compute nonlinear terms and non-constant Jacobian elements
432!!
433!! @include{doc} fdeval_params.dox
434Integer Function pin_fdeval( x, g, jac, rowno, jcnm, mode, ignerr, errcnt, &
435 n, nz, thread, usrmem )
436#ifdef dec_directives_win32
437!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Pin_FDEval
438#endif
439 Use data_t
440 implicit none
441 integer, intent (in) :: n ! number of variables
442 integer, intent (in) :: rowno ! number of the row to be evaluated
443 integer, intent (in) :: nz ! number of nonzeros in this row
444 real*8, intent (in), dimension(n) :: x ! vector of current solution values
445 real*8, intent (in out) :: g ! constraint value
446 real*8, intent (in out), dimension(n) :: jac ! vector of derivatives for current constraint
447 integer, intent (in), dimension(nz) :: jcnm ! list of variables that appear nonlinearly
448 ! in this row. Ffor information only.
449 integer, intent (in) :: mode ! evaluation mode: 1 = function value
450 ! 2 = derivatives, 3 = both
451 integer, intent (in) :: ignerr ! if 1 then errors can be ignored as long
452 ! as errcnt is incremented
453 integer, intent (in out) :: errcnt ! error counter to be incremented in case
454 ! of function evaluation errors.
455 integer, intent (in) :: thread
456 real*8 usrmem(*) ! optional user memory
457
458 integer it, is
459 real*8 h1, h2
460!
461! Compute the number of the period
462!
463 pin_fdeval = 0
464 it = (rowno+4) / 6
465 is = 7*(it-1)
466 if ( rowno == 1 ) then
467!
468! This is the linear objective
469!
470 if ( mode == 1 .or. mode == 3 ) then
471 g = 0.0d0
472 endif
473 else if ( rowno == (it-1)*6+3 ) then
474!
475! sdef equation. NL Terms: -(1.1+0.1*p)*1.02**(-cs/7)
476!
477 h1 = (1.1d0+0.1d0*x(is+6))
478 h2 = 1.02d0**(-x(is+2)/7.d0)
479 if ( mode == 1 .or. mode == 3 ) then
480 g = -h1*h2
481 endif
482 if ( mode == 2 .or. mode == 3 ) then
483 jac(is+2) = h1*h2*log(1.02d0)/7.d0
484 jac(is+6) = -h2*0.1d0
485 endif
486 elseif ( rowno == (it-1)*6+7 ) then
487!
488! revdef equation. NL term: d*(p-250/r)
489!
490 if ( mode == 1 .or. mode == 3 ) then
491 g = -x(is+4)*(x(is+6)-250.d0/x(is+5))
492 endif
493 if ( mode == 2 .or. mode == 3 ) then
494 jac(is+4) = -(x(is+6)-250.d0/x(is+5))
495 jac(is+5) = -x(is+4)*250d0/x(is+5)**2
496 jac(is+6) = -x(is+4)
497 endif
498 else
499!
500! This is a linear constraint so we return function value zero and
501! no derivatives.
502!
503 if ( mode == 1 .or. mode == 3 ) then
504 g = 0.0d0
505 endif
506 endif
507
508end Function pin_fdeval
509
510Integer Function pin_solution( XVAL, XMAR, XBAS, XSTA, YVAL, YMAR, YBAS, YSTA, N, M, USRMEM )
511#ifdef dec_directives_win32
512!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Pin_Solution
513#endif
514!
515! Specialized solution callback routine with names for variables and constraints
516!
517 Use proginfo
518 Use data_t
519 IMPLICIT NONE
520 INTEGER, Intent(IN) :: n, m
521 INTEGER, Intent(IN), Dimension(N) :: xbas, xsta
522 INTEGER, Intent(IN), Dimension(M) :: ybas, ysta
523 real*8, Intent(IN), Dimension(N) :: xval, xmar
524 real*8, Intent(IN), Dimension(M) :: yval, ymar
525 real*8, Intent(IN OUT) :: usrmem(*)
526 character*6, parameter, dimension(7) :: vname = (/'td ','cs ','s ','d ','r ','p ','rev '/)
527 character*6, parameter, dimension(6) :: ename = (/'tddef ','sdef ','csdef ','ddef ','rdef ','revdef'/)
528
529 INTEGER :: i, it, i1
530 CHARACTER*5, Parameter, Dimension(4) :: stat = (/ 'Lower','Upper','Basic','Super' /)
531
532 WRITE(10,"(/' Variable Solution value Reduced cost B-stat'/)")
533 i = 0
534 do it = 1, t
535 DO i1 = 1, 7
536 i = i + 1
537 WRITE(10,"(1X,A6,i2,1p,E20.6,E16.6,4X,A5 )") vname(i1), it, xval(i), xmar(i), stat(1+xbas(i))
538 ENDDO
539 enddo
540
541 WRITE(10,"(/' Constrnt Activity level Marginal cost B-stat'/)")
542 i = 1
543 WRITE(10,"(1x,'Objective',1P,E19.6,E16.6,4X,A5 )") yval(i), ymar(i), stat(1+ybas(i))
544 do it = 1, t
545 do i1 = 1, 6
546 i = i + 1
547 WRITE(10,"(1x,A6,i2,1P,E20.6,E16.6,4X,A5 )") ename(i1),it, yval(i), ymar(i), stat(1+ybas(i))
548 enddo
549 ENDDO
550
551 solcalls = solcalls + 1
552 pin_solution = 0
553
554END Function pin_solution
integer function std_status(modsta, solsta, iter, objval, usrmem)
Definition comdecl.f90:126
subroutine checkdual(case, minmax)
Definition comdecl.f90:432
integer function std_message(smsg, dmsg, nmsg, llen, usrmem, msgv)
Definition comdecl.f90:243
integer function std_errmsg(rowno, colno, posno, msglen, usrmem, msg)
Definition comdecl.f90:286
integer function pin_fdeval(x, g, jac, rowno, jcnm, mode, ignerr, errcnt, n, nz, thread, usrmem)
Compute nonlinear terms and non-constant Jacobian elements.
Definition fvboth.f90:429
integer function pin_readmatrix(lower, curr, upper, vsta, type, rhs, esta, colsta, rowno, value, nlflag, n, m, nz, usrmem)
Define information about the model.
Definition fvboth.f90:161
integer function pin_solution(xval, xmar, xbas, xsta, yval, ymar, ybas, ysta, n, m, usrmem)
Definition fvboth.f90:535
program fvforall
Main program. A simple setup and call of CONOPT.
Definition fvforall.f90:20
integer(c_int) function coidef_message(cntvect, coi_message)
define callback routine for handling messages returned during the solution process.
Definition conopt.f90:1265
integer(c_int) function coidef_solution(cntvect, coi_solution)
define callback routine for returning the final solution values.
Definition conopt.f90:1238
integer(c_int) function coidef_status(cntvect, coi_status)
define callback routine for returning the completion status.
Definition conopt.f90:1212
integer(c_int) function coidef_readmatrix(cntvect, coi_readmatrix)
define callback routine for providing the matrix data to CONOPT.
Definition conopt.f90:1111
integer(c_int) function coidef_errmsg(cntvect, coi_errmsg)
define callback routine for returning error messages for row, column or Jacobian elements.
Definition conopt.f90:1291
integer(c_int) function coidef_fdeval(cntvect, coi_fdeval)
define callback routine for performing function and derivative evaluations.
Definition conopt.f90:1135
integer(c_int) function coidef_fvforall(cntvect, fvforall)
call the FDEval for all constraints, including linear constraints.
Definition conopt.f90:1083
integer(c_int) function coidef_license(cntvect, licint1, licint2, licint3, licstring)
define the License Information.
Definition conopt.f90:293
integer(c_int) function coidef_debugfv(cntvect, debugfv)
turn Debugging of FDEval on and off.
Definition conopt.f90:387
integer(c_int) function coidef_numvar(cntvect, numvar)
defines the number of variables in the model.
Definition conopt.f90:97
integer(c_int) function coidef_numcon(cntvect, numcon)
defines the number of constraints in the model.
Definition conopt.f90:121
integer(c_int) function coidef_numnlnz(cntvect, numnlnz)
defines the Number of Nonlinear Nonzeros.
Definition conopt.f90:167
integer(c_int) function coidef_optdir(cntvect, optdir)
defines the Optimization Direction.
Definition conopt.f90:213
integer(c_int) function coidef_numnz(cntvect, numnz)
defines the number of nonzero elements in the Jacobian.
Definition conopt.f90:144
integer(c_int) function coidef_objcon(cntvect, objcon)
defines the Objective Constraint.
Definition conopt.f90:239
integer(c_int) function coi_create(cntvect)
initializes CONOPT and creates the control vector.
Definition conopt.f90:1726
integer(c_int) function coi_free(cntvect)
frees the control vector.
Definition conopt.f90:1749
subroutine coiget_version(major, minor, patch)
returns the version number. It can be used to ensure that the modeler is linked to the correct versio...
Definition conopt.f90:1645
integer(c_int) function coi_solve(cntvect)
method for starting the solving process of CONOPT.
Definition conopt.f90:1625
real *8 obj
Definition comdecl.f90:16
integer solcalls
Definition comdecl.f90:15
integer sstat
Definition comdecl.f90:18
subroutine finalize
Definition comdecl.f90:79
integer stacalls
Definition comdecl.f90:14
subroutine flog(msg, code)
Definition comdecl.f90:62
logical do_allocate
Definition comdecl.f90:27
integer, parameter maximize
Definition comdecl.f90:31
integer mstat
Definition comdecl.f90:17
subroutine startup
Definition comdecl.f90:41