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mono02.f90
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1!> @file mono02.f90
2!! @ingroup FORT1THREAD_EXAMPLES
3!!
4!!
5!! Monotone function to bound conversion example 02
6!!
7!! Note that without the lower bound on x1 the log function is not
8!! monotone and the inequality is not converted into a bound.
9!!
10!! This is a CONOPT implementation of the GAMS model:
11!!
12!! @verbatim
13!! variable x1
14!! equation e1;
15!!
16!! e1 .. log(x1) =G= -2;
17!!
18!! x1.l = 1;
19!! x1.lo = 1.e-9
20!! model mono / all /;
21!! Option domlim = 1000;
22!! solve mono using nlp minimizing x1;
23!! @endverbatim
24!!
25!!
26!!
27!! For more information about the individual callbacks, please have a look at the source code.
28
29#if defined(_WIN32) && !defined(_WIN64)
30#define dec_directives_win32
31#endif
32
33!> Main program. A simple setup and call of CONOPT
34!!
35Program mono02
36
38 Use conopt
39 implicit None
40!
41! Declare the user callback routines as Integer, External:
42!
43 Integer, External :: mono_readmatrix ! Mandatory Matrix definition routine defined below
44 Integer, External :: mono_fdeval ! Function and Derivative evaluation routine
45 ! needed a nonlinear model.
46 Integer, External :: mono_fdinterval ! Function and Derivative evaluation routine
47 ! needed a nonlinear model.
48 Integer, External :: std_status ! Standard callback for displaying solution status
49 Integer, External :: std_solution ! Standard callback for displaying solution values
50 Integer, External :: std_message ! Standard callback for managing messages
51 Integer, External :: std_errmsg ! Standard callback for managing error messages
52 Integer, External :: std_triord ! Standard callback for Monongular order
53#ifdef dec_directives_win32
54!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Mono_ReadMatrix
55!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Mono_FDEval
56!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Mono_FDInterval
57!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Std_Status
58!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Std_Solution
59!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Std_Message
60!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Std_ErrMsg
61!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Std_TriOrd
62#endif
63!
64! Control vector
65!
66 INTEGER, Dimension(:), Pointer :: cntvect
67 INTEGER :: coi_error
68
69 call startup
70!
71! Create and initialize a Control Vector
72!
73 coi_error = coi_create( cntvect )
74!
75! Tell CONOPT about the size of the model by populating the Control Vector:
76!
77 coi_error = max( coi_error, coidef_numvar( cntvect, 1 ) ) ! # variables
78 coi_error = max( coi_error, coidef_numcon( cntvect, 1 ) ) ! # constraints
79 coi_error = max( coi_error, coidef_numnz( cntvect, 1 ) ) ! # nonzeros in the Jacobian
80 coi_error = max( coi_error, coidef_numnlnz( cntvect, 1 ) ) ! # of which are nonlinear
81 coi_error = max( coi_error, coidef_optdir( cntvect, -1 ) ) ! Minimize
82 coi_error = max( coi_error, coidef_objvar( cntvect, 1 ) ) ! Objective is variable 3
83 coi_error = max( coi_error, coidef_optfile( cntvect, 'Mono02.opt' ) )
84!
85! Tell CONOPT about the callback routines:
86!
87 coi_error = max( coi_error, coidef_readmatrix( cntvect, mono_readmatrix ) )
88 coi_error = max( coi_error, coidef_fdeval( cntvect, mono_fdeval ) )
89 coi_error = max( coi_error, coidef_fdinterval( cntvect, mono_fdinterval ) )
90 coi_error = max( coi_error, coidef_status( cntvect, std_status ) )
91 coi_error = max( coi_error, coidef_solution( cntvect, std_solution ) )
92 coi_error = max( coi_error, coidef_message( cntvect, std_message ) )
93 coi_error = max( coi_error, coidef_errmsg( cntvect, std_errmsg ) )
94 coi_error = max( coi_error, coidef_triord( cntvect, std_triord ) )
95
96#if defined(CONOPT_LICENSE_INT_1) && defined(CONOPT_LICENSE_INT_2) && defined(CONOPT_LICENSE_INT_3) && defined(CONOPT_LICENSE_TEXT)
97 coi_error = max( coi_error, coidef_license( cntvect, conopt_license_int_1, conopt_license_int_2, conopt_license_int_3, conopt_license_text) )
98#endif
99
100 If ( coi_error .ne. 0 ) THEN
101 write(*,*)
102 write(*,*) '**** Fatal Error while loading CONOPT Callback routines.'
103 write(*,*)
104 call flog( "Skipping Solve due to setup errors", 1 )
105 ENDIF
106!
107! Save the solution so we can check the duals:
108!
109 do_allocate = .true.
110!
111! Start CONOPT:
112!
113 coi_error = coi_solve( cntvect )
114
115 write(*,*)
116 write(*,*) 'End of Mono02 example. Return code=',coi_error
117
118 If ( coi_error /= 0 ) then
119 call flog( "Errors encountered during solution", 1 )
120 elseif ( stacalls == 0 .or. solcalls == 0 ) then
121 call flog( "Status or Solution routine was not called", 1 )
122 elseif ( sstat /= 1 .or. mstat /= 1 ) then
123 call flog( "Solver and Model Status was not as expected (1,1)", 1 )
124 elseif ( abs( obj-exp(-2.0d0) ) > 0.000001d0 ) then
125 call flog( "Incorrect objective returned", 1 )
126 Else
127 Call checkdual( 'Mono02', minimize )
128 endif
129
130 if ( coi_free(cntvect) /= 0 ) call flog( "Error while freeing control vector",1)
131
132 call flog( "Successful Solve", 0 )
133
134End Program mono02
135!
136! ============================================================================
137! Define information about the model:
138!
139
140!> Define information about the model
141!!
142!! @include{doc} readMatrix_params.dox
143Integer Function mono_readmatrix( lower, curr, upper, vsta, type, rhs, esta, &
144 colsta, rowno, value, nlflag, n, m, nz, &
145 usrmem )
146#ifdef dec_directives_win32
147!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Mono_ReadMatrix
148#endif
149 implicit none
150 integer, intent (in) :: n ! number of variables
151 integer, intent (in) :: m ! number of constraints
152 integer, intent (in) :: nz ! number of nonzeros
153 real*8, intent (in out), dimension(n) :: lower ! vector of lower bounds
154 real*8, intent (in out), dimension(n) :: curr ! vector of initial values
155 real*8, intent (in out), dimension(n) :: upper ! vector of upper bounds
156 integer, intent (in out), dimension(n) :: vsta ! vector of initial variable status
157 ! (not defined here)
158 integer, intent (out), dimension(m) :: type ! vector of equation types
159 integer, intent (in out), dimension(m) :: esta ! vector of initial equation status
160 ! (not defined here)
161 real*8, intent (in out), dimension(m) :: rhs ! vector of right hand sides
162 integer, intent (in out), dimension(n+1) :: colsta ! vector with start of column indices
163 integer, intent (out), dimension(nz) :: rowno ! vector of row numbers
164 integer, intent (in out), dimension(nz) :: nlflag ! vector of nonlinearity flags
165 real*8, intent (in out), dimension(nz) :: value ! vector of matrix values
166 real*8 usrmem(*) ! optional user memory
167!
168! Information about Variables:
169! Default: Lower = -Inf, Curr = 0, and Upper = +inf.
170! Default: the status information in Vsta is not used.
171!
172! The model uses defaults
173!
174! Information about Constraints:
175! Default: Rhs = 0
176! Default: the status information in Esta and the function
177! value in FV are not used.
178! Default: Type: There is no default.
179! 0 = Equality,
180! 1 = Greater than or equal,
181! 2 = Less than or equal,
182! 3 = Non binding.
183!
184! Constraint 1: e1
185! Rhs = -2.0 and type Greater than or Equal
186!
187 rhs(1) = -2.0d0
188 type(1) = 1
189!
190 lower(1) = 1.0d-9
191 curr(1) = 1.0d0
192!
193! Information about the Jacobian. CONOPT expects a columnwise
194! representation in Rowno, Value, Nlflag and Colsta.
195!
196! Colsta = Start of column indices (No Defaults):
197! Rowno = Row indices
198! Value = Value of derivative (by default only linear
199! derivatives are used)
200! Nlflag = 0 for linear and 1 for nonlinear derivative
201! (not needed for completely linear models)
202!
203! Indices
204! x(1)
205! 1: 1
206!
207 colsta(1) = 1
208 colsta(2) = 2
209 rowno(1) = 1
210!
211! Nonlinearity Structure: L = 0 are linear and NL = 1 are nonlinear
212! x(1)
213! 1: NL
214!
215 nlflag(1) = 1
216!
217! Value (Linear only)
218! x(1)
219! 1: NL
220!
221 mono_readmatrix = 0 ! Return value means OK
222
223end Function mono_readmatrix
224!
225!==========================================================================
226! Compute nonlinear terms and non-constant Jacobian elements
227!
228
229!> Compute nonlinear terms and non-constant Jacobian elements
230!!
231!! @include{doc} fdeval_params.dox
232Integer Function mono_fdeval( x, g, jac, rowno, jcnm, mode, ignerr, errcnt, &
233 n, nz, thread, usrmem )
234#ifdef dec_directives_win32
235!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Mono_FDEval
236#endif
237 implicit none
238 integer, intent (in) :: n ! number of variables
239 integer, intent (in) :: rowno ! number of the row to be evaluated
240 integer, intent (in) :: nz ! number of nonzeros in this row
241 real*8, intent (in), dimension(n) :: x ! vector of current solution values
242 real*8, intent (in out) :: g ! constraint value
243 real*8, intent (in out), dimension(n) :: jac ! vector of derivatives for current constraint
244 integer, intent (in), dimension(nz) :: jcnm ! list of variables that appear nonlinearly
245 ! in this row. Ffor information only.
246 integer, intent (in) :: mode ! evaluation mode: 1 = function value
247 ! 2 = derivatives, 3 = both
248 integer, intent (in) :: ignerr ! if 1 then errors can be ignored as long
249 ! as errcnt is incremented
250 integer, intent (in out) :: errcnt ! error counter to be incremented in case
251 ! of function evaluation errors.
252 integer, intent (in) :: thread
253 real*8 usrmem(*) ! optional user memory
254!
255! Report an error for bad points
256!
257 mono_fdeval = 0 ! OK unless error found later
258 If ( x(1) <= 0.0d0 ) then
259 errcnt = errcnt + 1
260 return
261 endif
262!
263! Row 1: e1
264!
265 if ( rowno .eq. 1 ) then
266!
267! Mode = 1 or 3. G = log(x1)
268!
269 if ( mode .eq. 1 .or. mode .eq. 3 ) then
270 g = log(x(1))
271 endif
272!
273! Mode = 2 or 3: Derivative values:
275 if ( mode .eq. 2 .or. mode .eq. 3 ) then
276 jac(1) = 1.d0/x(1)
277 endif
278 else
279!
280! There are no other rows:
281!
282 mono_fdeval = 1
283 endif
284
285end Function mono_fdeval
286
287
288!> Evaluating nonlinear functions and derivatives on an interval. Used in preprocessing
289!!
290!! @include{doc} fdinterval_params.dox
291Integer Function mono_fdinterval( XMIN, XMAX, GMIN, GMAX, &
292 JMIN, JMAX, ROWNO, JCNM, &
293 MODE, PINF, N, NJ, USRMEM )
294#ifdef dec_directives_win32
295!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Mono_FDInterval
296#endif
297 Implicit None
298 INTEGER, Intent(IN) :: rowno, mode, n, nj
299 INTEGER, Dimension(NJ), Intent(IN) :: jcnm
300 real*8, Dimension(N), Intent(IN) :: xmin, xmax
301 real*8, Intent(IN OUT) :: gmin, gmax
302 real*8, Dimension(N), Intent(IN OUT) :: jmin, jmax
303 real*8, Intent(IN) :: pinf
304 real*8, Intent(IN OUT) :: usrmem(*)
305
306!
307! Row 1: e1
308!
309 write(10,*) 'Enter Mono_FDInterval. Row=',rowno,' Mode=',mode
310 write(10,*) 'Xmin=',xmin
311 write(10,*) 'Xmax=',xmax
312 if ( rowno .eq. 1 ) then
313!
314! Mode = 1 or 3. G = log(x1)
315!
316 if ( mode .eq. 1 .or. mode .eq. 3 ) then
317 If ( xmin(1) <= 0.0d0 ) then
318 gmin = -pinf
319 else
320 gmin = log(xmin(1))
321 endif
322 If ( xmax(1) <= 0.0d0 ) then
323 gmax = -pinf
324 else
325 gmax = log(xmax(1))
326 endif
327 write(10,*) 'Gmin=',gmin,' Gmax=',gmax
328 endif
329!
330! Mode = 2 or 3: Derivative values:
331!
332 if ( mode .eq. 2 .or. mode .eq. 3 ) then
333 If ( xmin(1) <= 0.0d0 ) then
334 jmin(1) = -pinf
335 jmax(1) = +pinf
336 else
337 jmin(1) = 1.0d0/xmax(1)
338 jmax(1) = 1.0d0/xmin(1)
339 endif
340 write(10,*) 'Jmin=',jmin
341 write(10,*) 'Jmax=',jmax
342 endif
344 else
345!
346! There are no other rows:
347!
349 endif
350
351end Function mono_fdinterval
integer function std_solution(xval, xmar, xbas, xsta, yval, ymar, ybas, ysta, n, m, usrmem)
Definition comdecl.f90:132
integer function std_status(modsta, solsta, iter, objval, usrmem)
Definition comdecl.f90:88
subroutine checkdual(case, minmax)
Definition comdecl.f90:394
integer function std_message(smsg, dmsg, nmsg, llen, usrmem, msgv)
Definition comdecl.f90:205
integer function std_triord(mode, type, status, irow, icol, inf, value, resid, usrmem)
Definition comdecl.f90:289
integer function std_errmsg(rowno, colno, posno, msglen, usrmem, msg)
Definition comdecl.f90:248
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_optfile(cntvect, optfile)
define callback routine for defining an options file.
Definition conopt.f90:928
integer(c_int) function coidef_fdinterval(cntvect, coi_fdinterval)
define callback routine for performing function and derivative evaluations on intervals.
Definition conopt.f90:1396
integer(c_int) function coidef_triord(cntvect, coi_triord)
define callback routine for providing the triangular order information.
Definition conopt.f90:1371
integer(c_int) function coidef_license(cntvect, licint1, licint2, licint3, licstring)
define the License Information.
Definition conopt.f90:293
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_objvar(cntvect, objvar)
defines the Objective Variable.
Definition conopt.f90:257
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
integer(c_int) function coi_solve(cntvect)
method for starting the solving process of CONOPT.
Definition conopt.f90:1625
integer function mono_fdinterval(xmin, xmax, gmin, gmax, jmin, jmax, rowno, jcnm, mode, pinf, n, nj, usrmem)
Evaluating nonlinear functions and derivatives on an interval. Used in preprocessing.
Definition mono01.f90:265
integer function mono_readmatrix(lower, curr, upper, vsta, type, rhs, esta, colsta, rowno, value, nlflag, n, m, nz, usrmem)
Define information about the model.
Definition mono01.f90:130
integer function mono_fdeval(x, g, jac, rowno, jcnm, mode, ignerr, errcnt, n, nz, thread, usrmem)
Compute nonlinear terms and non-constant Jacobian elements.
Definition mono01.f90:215
program mono02
Main program. A simple setup and call of CONOPT.
Definition mono02.f90:37
#define nj
Definition mp_trans.c:46
real *8 obj
Definition comdecl.f90:16
integer solcalls
Definition comdecl.f90:15
integer sstat
Definition comdecl.f90:18
integer, parameter minimize
Definition comdecl.f90:31
integer stacalls
Definition comdecl.f90:14
subroutine flog(msg, code)
Definition comdecl.f90:62
logical do_allocate
Definition comdecl.f90:27
integer mstat
Definition comdecl.f90:17
subroutine startup
Definition comdecl.f90:41