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triabad06.f90
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1!> @file triabad06.f90
2!! @ingroup FORT1THREAD_EXAMPLES
3!!
4!! This is a CONOPT implementation of the GAMS model:
5!!
6!! @verbatim
7!! variable x1, x2, x3;
8!! equation e1, e3, e4, e5;
9!!
10!! e1 .. sqr(x1) =E= 1;
11!! e3 .. 1*x2 =E= 1;
12!! e4 .. -2.e-10*x2 =E= -1.e-10;
13!! e5 .. x3 =E= sqr(x1 + x2);
14!!
15!! x1.l = 0.99;
16!! x2.l = 1.0;
17!!
18!! model m / all /;
19!! solve m using nlp maximizing x3;
20!! @endverbatim
21!!
22!! The same as triabad05 except for the initial value for x2
23!!
24!!
25!! For more information about the individual callbacks, please have a look at the source code.
26
27#if defined(_WIN32) && !defined(_WIN64)
28#define dec_directives_win32
29#endif
30
31!> Main program. A simple setup and call of CONOPT
32!!
33Program triabad06
34
36 Use conopt
37 implicit None
38!
39! Declare the user callback routines as Integer, External:
40!
41 Integer, External :: tria_readmatrix ! Mandatory Matrix definition routine defined below
42 Integer, External :: tria_fdeval ! Function and Derivative evaluation routine
43 ! needed a nonlinear model.
44 Integer, External :: std_status ! Standard callback for displaying solution status
45 Integer, External :: std_solution ! Standard callback for displaying solution values
46 Integer, External :: std_message ! Standard callback for managing messages
47 Integer, External :: std_errmsg ! Standard callback for managing error messages
48 Integer, External :: std_triord ! Standard callback for triangular order
49#ifdef dec_directives_win32
50!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Tria_ReadMatrix
51!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Tria_FDEval
52!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Std_Status
53!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Std_Solution
54!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Std_Message
55!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Std_ErrMsg
56!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Std_TriOrd
57#endif
58!
59! Control vector
60!
61 INTEGER, Dimension(:), Pointer :: cntvect
62 INTEGER :: coi_error
63
64 Call startup
65!
66! Create and initialize a Control Vector
67!
68 coi_error = coi_create( cntvect )
69!
70! Tell CONOPT about the size of the model by populating the Control Vector:
71!
72 coi_error = max( coi_error, coidef_numvar( cntvect, 3 ) ) ! # variables
73 coi_error = max( coi_error, coidef_numcon( cntvect, 4 ) ) ! # constraints
74 coi_error = max( coi_error, coidef_numnz( cntvect, 6 ) ) ! # nonzeros in the Jacobian
75 coi_error = max( coi_error, coidef_numnlnz( cntvect, 3 ) ) ! # of which are nonlinear
76 coi_error = max( coi_error, coidef_optdir( cntvect, +1 ) ) ! Maximize
77 coi_error = max( coi_error, coidef_objvar( cntvect, 3 ) ) ! Objective is variable 3
78 coi_error = max( coi_error, coidef_optfile( cntvect, 'triabad06.opt' ) )
79!
80! Tell CONOPT about the callback routines:
81!
82 coi_error = max( coi_error, coidef_readmatrix( cntvect, tria_readmatrix ) )
83 coi_error = max( coi_error, coidef_fdeval( cntvect, tria_fdeval ) )
84 coi_error = max( coi_error, coidef_status( cntvect, std_status ) )
85 coi_error = max( coi_error, coidef_solution( cntvect, std_solution ) )
86 coi_error = max( coi_error, coidef_message( cntvect, std_message ) )
87 coi_error = max( coi_error, coidef_errmsg( cntvect, std_errmsg ) )
88 coi_error = max( coi_error, coidef_triord( cntvect, std_triord ) )
89!
90! Create space to save the solution
91!
92 do_allocate = .true.
93
94#if defined(CONOPT_LICENSE_INT_1) && defined(CONOPT_LICENSE_INT_2) && defined(CONOPT_LICENSE_INT_3) && defined(CONOPT_LICENSE_TEXT)
95 coi_error = max( coi_error, coidef_license( cntvect, conopt_license_int_1, conopt_license_int_2, conopt_license_int_3, conopt_license_text) )
96#endif
97
98 If ( coi_error .ne. 0 ) THEN
99 write(*,*)
100 write(*,*) '**** Fatal Error while loading CONOPT Callback routines.'
101 write(*,*)
102 call flog( "Skipping Solve due to setup errors", 1 )
103 ENDIF
104!
105! Create an empty options file for the first solve
106!
107 open(12,file='triabad06.opt')
108 write(12,*) '!' ! Comment line in options file
109 close(12)
110!
111! Start CONOPT:
112!
113 coi_error = coi_solve( cntvect )
114
115 If ( coi_error /= 0 ) then
116 call flog( "Errors encountered during solution", 1 )
117 elseif ( stacalls == 0 .or. solcalls == 0 ) then
118 call flog( "Status or Solution routine was not called", 1 )
119 elseif ( sstat /= 1 .or. mstat /= 2 ) then
120 call flog( "Solver and Model Status was not as expected (1,2)", 1 )
121 elseif ( abs( obj-4.0d0 ) > 0.000001d0 ) then
122 call flog( "Incorrect objective returned", 1 )
123 elseif ( abs( udual(4)-1.d0 ) > 0.000001d0 ) then
124 call flog( "Dual on e5 is not 1.", 1 )
125 elseif ( abs( udual(1)-2.d0 ) > 0.000001d0 ) then
126 call flog( "Dual on e1 is not 2.", 1 )
127 Else
128 Call checkdual( 'Triabad06-1', maximize )
129 endif
130!
131! Create an options file with Rtnwtr = 1.e-11 for the second solve
132!
133 open(12,file='triabad06.opt')
134 write(12,*) 'Rtnwtr = 1.e-11'
135 close(12)
136
137 coi_error = coi_solve( cntvect )
138
139 If ( coi_error /= 0 ) then
140 call flog( "Errors encountered during solution", 1 )
141 elseif ( stacalls == 0 .or. solcalls == 0 ) then
142 call flog( "Status or Solution routine was not called", 1 )
143 elseif ( sstat /= 1 .or. mstat /= 4 ) then
144 call flog( "Solver and Model Status was not as expected (1,4)", 1 )
145! No objective test for infeasible model
146 Else
147 Call checkdual( 'Triabad06-2', infeasible )
148 endif
149
150 write(*,*)
151 write(*,*) 'End of Triabad06 example. Return code=',coi_error
152
153 if ( coi_free(cntvect) /= 0 ) call flog( "Error while freeing control vector",1)
154
155 call flog( "Successful Solve", 0 )
157End Program triabad06
158!
159! ============================================================================
160! Define information about the model:
161!
162
163!> Define information about the model
164!!
165!! @include{doc} readMatrix_params.dox
166Integer Function tria_readmatrix( lower, curr, upper, vsta, type, rhs, esta, &
167 colsta, rowno, value, nlflag, n, m, nz, &
168 usrmem )
169#ifdef dec_directives_win32
170!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Tria_ReadMatrix
171#endif
172 implicit none
173 integer, intent (in) :: n ! number of variables
174 integer, intent (in) :: m ! number of constraints
175 integer, intent (in) :: nz ! number of nonzeros
176 real*8, intent (in out), dimension(n) :: lower ! vector of lower bounds
177 real*8, intent (in out), dimension(n) :: curr ! vector of initial values
178 real*8, intent (in out), dimension(n) :: upper ! vector of upper bounds
179 integer, intent (in out), dimension(n) :: vsta ! vector of initial variable status
180 ! (not defined here)
181 integer, intent (out), dimension(m) :: type ! vector of equation types
182 integer, intent (in out), dimension(m) :: esta ! vector of initial equation status
183 ! (not defined here)
184 real*8, intent (in out), dimension(m) :: rhs ! vector of right hand sides
185 integer, intent (in out), dimension(n+1) :: colsta ! vector with start of column indices
186 integer, intent (out), dimension(nz) :: rowno ! vector of row numbers
187 integer, intent (in out), dimension(nz) :: nlflag ! vector of nonlinearity flags
188 real*8, intent (in out), dimension(nz) :: value ! vector of matrix values
189 real*8 usrmem(*) ! optional user memory
190!
191! Information about Variables:
192! Default: Lower = -Inf, Curr = 0, and Upper = +inf.
193! Default: the status information in Vsta is not used.
194!
195! The model uses initial values for x1 and x2
196!
197 curr(1) = 0.99d0
198 curr(2) = 1.00d0
199!
200! Information about Constraints:
201! Default: Rhs = 0
202! Default: the status information in Esta and the function
203! value in FV are not used.
204! Default: Type: There is no default.
205! 0 = Equality,
206! 1 = Greater than or equal,
207! 2 = Less than or equal,
208! 3 = Non binding.
209!
210! Constraint 1: e1
211! Rhs = 1.0 and type Equality
212!
213 rhs(1) = 1.0d0
214 type(1) = 0
215!
216! Constraint 2: e3
217! Rhs = 1.0 and type Equality
218!
219 rhs(2) = 1.0d0
220 type(2) = 0
221!
222! Constraint 3: e4
223! Rhs = -1.0d-10 and type Equality
224!
225 rhs(3) = -1.0d-10
226 type(3) = 0
227!
228! Constraint 4: e5
229! Rhs = 0.0 and type Equality
230!
231 type(4) = 0
232!
233! Information about the Jacobian. CONOPT expects a columnwise
234! representation in Rowno, Value, Nlflag and Colsta.
235!
236! Colsta = Start of column indices (No Defaults):
237! Rowno = Row indices
238! Value = Value of derivative (by default only linear
239! derivatives are used)
240! Nlflag = 0 for linear and 1 for nonlinear derivative
241! (not needed for completely linear models)
242!
243! Indices
244! x(1) x(2) x(3)
245! 1: 1
246! 2: 3
247! 3: 4
248! 4: 2 5 6
249!
250 colsta(1) = 1
251 colsta(2) = 3
252 colsta(3) = 6
253 colsta(4) = 7
254 rowno(1) = 1
255 rowno(2) = 4
256 rowno(3) = 2
257 rowno(4) = 3
258 rowno(5) = 4
259 rowno(6) = 4
260!
261! Nonlinearity Structure: L = 0 are linear and NL = 1 are nonlinear
262! x(1) x(2) x(3)
263! 1: NL
264! 2: L
265! 3: L
266! 4: NL NL L
267!
268 nlflag(1) = 1
269 nlflag(2) = 1
270 nlflag(3) = 0
271 nlflag(4) = 0
272 nlflag(5) = 1
273 nlflag(6) = 0
274!
275! Value (Linear only)
276! x(1) x(2) x(3)
277! 1: NL
278! 2: 1
279! 3: -2.0d-10
280! 4: NL NL 1.0
281!
282 value(3) = 1.d0
283 value(4) = -2.0d-10
284 value(6) = 1.d0
285
286 tria_readmatrix = 0 ! Return value means OK
287
288end Function tria_readmatrix
289!
290!==========================================================================
291! Compute nonlinear terms and non-constant Jacobian elements
292!
293
294!> Compute nonlinear terms and non-constant Jacobian elements
295!!
296!! @include{doc} fdeval_params.dox
297Integer Function tria_fdeval( x, g, jac, rowno, jcnm, mode, ignerr, errcnt, &
298 n, nz, thread, usrmem )
299#ifdef dec_directives_win32
300!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Tria_FDEval
301#endif
302 implicit none
303 integer, intent (in) :: n ! number of variables
304 integer, intent (in) :: rowno ! number of the row to be evaluated
305 integer, intent (in) :: nz ! number of nonzeros in this row
306 real*8, intent (in), dimension(n) :: x ! vector of current solution values
307 real*8, intent (in out) :: g ! constraint value
308 real*8, intent (in out), dimension(n) :: jac ! vector of derivatives for current constraint
309 integer, intent (in), dimension(nz) :: jcnm ! list of variables that appear nonlinearly
310 ! in this row. Ffor information only.
311 integer, intent (in) :: mode ! evaluation mode: 1 = function value
312 ! 2 = derivatives, 3 = both
313 integer, intent (in) :: ignerr ! if 1 then errors can be ignored as long
314 ! as errcnt is incremented
315 integer, intent (in out) :: errcnt ! error counter to be incremented in case
316 ! of function evaluation errors.
317 integer, intent (in) :: thread
318 real*8 usrmem(*) ! optional user memory
319!
320! Row 1: e1 .. sqr(x1) =E= 1;
321!
322 if ( rowno == 1 ) then
323!
324! Mode = 1 or 3. G = sqr(x1)
325!
326 if ( mode == 1 .or. mode == 3 ) then
327 g = x(1)*x(1)
328 endif
329!
330! Mode = 2 or 3: Derivative values:
331!
332 if ( mode .eq. 2 .or. mode .eq. 3 ) then
333 jac(1) = 2.d0*x(1)
334 endif
335 tria_fdeval = 0
336 else if ( rowno == 4 ) then
337!
338! e5 .. x3 =E= sqr(x1 + x2);
339!
340 if ( mode == 1 .or. mode == 3 ) then
341 g = -(x(1)+x(2))*(x(1)+x(2))
342 endif
343 if ( mode .eq. 2 .or. mode .eq. 3 ) then
344 jac(1) = -2.d0*(x(1)+x(2))
345 jac(2) = jac(1)
346 endif
347 tria_fdeval = 0
348 else
349 tria_fdeval = 1
350 endif
351
352end Function tria_fdeval
353
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_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
real *8 obj
Definition comdecl.f90:16
integer solcalls
Definition comdecl.f90:15
integer sstat
Definition comdecl.f90:18
real *8, dimension(:), pointer udual
Definition comdecl.f90:24
integer, parameter infeasible
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, parameter maximize
Definition comdecl.f90:31
integer mstat
Definition comdecl.f90:17
subroutine startup
Definition comdecl.f90:41
integer function tria_fdeval(x, g, jac, rowno, jcnm, mode, ignerr, errcnt, n, nz, thread, usrmem)
Compute nonlinear terms and non-constant Jacobian elements.
Definition tria01.f90:253
integer function tria_readmatrix(lower, curr, upper, vsta, type, rhs, esta, colsta, rowno, value, nlflag, n, m, nz, usrmem)
Define information about the model.
Definition tria01.f90:136
program triabad06
Main program. A simple setup and call of CONOPT.
Definition triabad06.f90:35