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ident21.f90
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1!> @file ident21.f90
2!! @ingroup FORT1THREAD_EXAMPLES
3!!
4!!
5!! Model with identical variables, i.e. <code>a*xi =E= b*xj</code>.
6!! Similar to ident20, but with bounds on the variables.
7!! The bounds are not consistent with the identities
8!!
9!! This is a CONOPT implementation of the GAMS model:
10!!
11!! @verbatim
12!! variable x1, x2, x3, x4, x5;
13!! equation e1, e2, e3, e4;
14!!
15!! e1.. x1 =E= x3;
16!! e2.. x2 + x4 =E= 0;
17!! e3.. x1 + 2*x2 =E= 1;
18!! e4.. x5 =E= sqr(x1+x2+x3+x4);
19!!
20!! x1.lo = -1;
21!! x4.up = +1;
22!! x2.lo = 0;
23!!
24!! model m / all /;
25!! solve m using nlp minimizing x5;
26!! @endverbatim
27!!
28!!
29!! For more information about the individual callbacks, please have a look at the source code.
30
31!> Main program. A simple setup and call of CONOPT
32!!
33Program ident21
34
35 Use proginfo
36 Use coidef
37 implicit None
38!
39! Declare the user callback routines as Integer, External:
40!
41 Integer, External :: ident_readmatrix ! Mandatory Matrix definition routine defined below
42 Integer, External :: ident_fdeval ! Function and Derivative evaluation routine
43 Integer, External :: std_status ! Standard callback for displaying solution status
44 Integer, External :: std_solution ! Standard callback for displaying solution values
45 Integer, External :: std_message ! Standard callback for managing messages
46 Integer, External :: std_errmsg ! Standard callback for managing error messages
47#if defined(itl)
48!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Ident_ReadMatrix
49!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Ident_FDEval
50!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Std_Status
51!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Std_Solution
52!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Std_Message
53!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Std_ErrMsg
54#endif
55!
56! Control vector
57!
58 INTEGER :: numcallback
59 INTEGER, Dimension(:), Pointer :: cntvect
60 INTEGER :: coi_error
61
62 call startup
63!
64! Create and initialize a Control Vector
65!
66 numcallback = coidef_size()
67 Allocate( cntvect(numcallback) )
68 coi_error = coidef_inifort( 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, 5 ) )
73 coi_error = max( coi_error, coidef_numcon( cntvect, 4 ) )
74 coi_error = max( coi_error, coidef_numnz( cntvect, 11 ) )
75 coi_error = max( coi_error, coidef_numnlnz( cntvect, 4 ) )
76 coi_error = max( coi_error, coidef_optdir( cntvect, -1 ) ) ! minimize
77 coi_error = max( coi_error, coidef_objvar( cntvect, 5 ) ) ! Objective is x5
78 coi_error = max( coi_error, coidef_optfile( cntvect, 'Ident21.opt' ) )
79!
80! Tell CONOPT about the callback routines:
81!
82 coi_error = max( coi_error, coidef_readmatrix( cntvect, ident_readmatrix ) )
83 coi_error = max( coi_error, coidef_fdeval( cntvect, ident_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
89#if defined(LICENSE_INT_1) && defined(LICENSE_INT_2) && defined(LICENSE_INT_3) && defined(LICENSE_TEXT)
90 coi_error = max( coi_error, coidef_license( cntvect, license_int_1, license_int_2, license_int_3, license_text) )
91#endif
92
93 If ( coi_error .ne. 0 ) THEN
94 write(*,*)
95 write(*,*) '**** Fatal Error while loading CONOPT Callback routines.'
96 write(*,*)
97 call flog( "Skipping Solve due to setup errors", 1 )
98 ENDIF
99!
100! Save the solution so we can check the duals:
101!
102 do_allocate = .true.
103!
104! Start CONOPT:
105!
106 coi_error = coi_solve( cntvect )
107
108 write(*,*)
109 write(*,*) 'End of Ident example 1. Return code=',coi_error
110
111 If ( coi_error /= 0 ) then
112 call flog( "Errors encountered during solution", 1 )
113 elseif ( stacalls == 0 .or. solcalls == 0 ) then
114 call flog( "Status or Solution routine was not called", 1 )
115 elseif ( .not. ( sstat == 1 .and. mstat == 2 ) ) then
116 call flog( "Solver or Model status was not as expected (1,2)", 1 )
117 elseif ( abs( obj - 0.0d0 ) > 1.d-7 ) then
118 call flog( "Incorrect objective returned", 1 )
119 Else
120 Call checkdual( 'Ident21', minimize )
121 endif
122
123 if ( coi_free(cntvect) /= 0 ) call flog( "Error while freeing control vector",1)
124
125 call flog( "Successful Solve", 0 )
126
127End Program ident21
128!
129! ============================================================================
130! Define information about the model:
131!
132
133!> Define information about the model
134!!
135!! @include{doc} readMatrix_params.dox
136Integer Function ident_readmatrix( lower, curr, upper, vsta, type, rhs, esta, &
137 colsta, rowno, value, nlflag, n, m, nz, &
138 usrmem )
139#if defined(itl)
140!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Ident_ReadMatrix
141#endif
142 implicit none
143 integer, intent (in) :: n ! number of variables
144 integer, intent (in) :: m ! number of constraints
145 integer, intent (in) :: nz ! number of nonzeros
146 real*8, intent (in out), dimension(n) :: lower ! vector of lower bounds
147 real*8, intent (in out), dimension(n) :: curr ! vector of initial values
148 real*8, intent (in out), dimension(n) :: upper ! vector of upper bounds
149 integer, intent (in out), dimension(n) :: vsta ! vector of initial variable status
150 ! (not defined here)
151 integer, intent (out), dimension(m) :: type ! vector of equation types
152 integer, intent (in out), dimension(m) :: esta ! vector of initial equation status
153 ! (not defined here)
154 real*8, intent (in out), dimension(m) :: rhs ! vector of right hand sides
155 integer, intent (in out), dimension(n+1) :: colsta ! vector with start of column indices
156 integer, intent (out), dimension(nz) :: rowno ! vector of row numbers
157 integer, intent (in out), dimension(nz) :: nlflag ! vector of nonlinearity flags
158 real*8, intent (in out), dimension(nz) :: value ! vector of matrix values
159 real*8 usrmem(*) ! optional user memory
160
161!
162! Information about Variables:
163! Default: Lower = -Inf, Curr = 0, and Upper = +inf.
164! Default: the status information in Vsta is not used.
165!
166 lower(1) = -1.0d0
167 lower(2) = 0.0d0;
168 upper(4) = 1.0d0
169!
170! Information about Constraints:
171! Default: Rhs = 0
172! Default: the status information in Esta and the function
173! value in FV are not used.
174! Default: Type: There is no default.
175! 0 = Equality,
176! 1 = Greater than or equal,
177! 2 = Less than or equal,
178! 3 = Non binding.
179!
180! Constraints 1 to Nrow:
181! Rhs = Obs(i) and type Equality
182!
183 type(1) = 0
184 type(2) = 0
185 type(3) = 0
186 type(4) = 0
187 rhs(3) = 1.0d0
188!
189! Information about the Jacobian. We use the standard method with
190! Rowno, Value, Nlflag and Colsta and we do not use Colno.
191!
192! Colsta = Start of column indices (No Defaults):
193! Rowno = Row indices
194! Value = Value of derivative (by default only linear
195! derivatives are used)
196! Nlflag = 0 for linear and 1 for nonlinear derivative
197! (not needed for completely linear models)
198!
199! x1 x2 x3 x4 x5
200! e1 1 7
201! e2 4 9
202! e3 2 5
203! e4 3 6 8 10 11
204
205! e1.. x1 =E= x3;
206! e2.. x2 + x4 =E= 0;
207! e3.. x1 + 2*x2 =E= 1;
208! e4.. x5 =E= sqr(x1+x2+x3+x4);
209! x1 x2 x3 x4 x5
210! e1 1.0 -1.0
211! e2 1.0 1.0
212! e3 1.0 2.0
213! e4 NL NL NL NL 1.0
214!
215 colsta(1) = 1
216 colsta(2) = 4
217 colsta(3) = 7
218 colsta(4) = 9
219 colsta(5) = 11
220 colsta(6) = 12
221 rowno(1) = 1; nlflag(1) = 0; value(1) = 1.0d0
222 rowno(2) = 3; nlflag(2) = 0; value(2) = 1.0d0
223 rowno(3) = 4; nlflag(3) = 1;
224 rowno(4) = 2; nlflag(4) = 0; value(4) = 1.0d0
225 rowno(5) = 3; nlflag(5) = 0; value(5) = 2.0d0
226 rowno(6) = 4; nlflag(6) = 1;
227 rowno(7) = 1; nlflag(7) = 0; value(7) = -1.0d0
228 rowno(8) = 4; nlflag(8) = 1;
229 rowno(9) = 2; nlflag(9) = 0; value(9) = 1.0d0
230 rowno(10) = 4; nlflag(10) = 1;
231 rowno(11) = 4; nlflag(11) = 0; value(11) = 1.0d0
232
233 ident_readmatrix = 0 ! Return value means OK
234
235end Function ident_readmatrix
236
237
238!> Compute nonlinear terms and non-constant Jacobian elements
239!!
240!! @include{doc} fdeval_params.dox
241Integer Function ident_fdeval( x, g, jac, rowno, jcnm, mode, ignerr, errcnt, &
242 n, nz, thread, usrmem )
243#if defined(itl)
244!DEC$ ATTRIBUTES STDCALL, REFERENCE, NOMIXED_STR_LEN_ARG :: Ident_FDEval
245#endif
246 Use ident
247 implicit none
248 integer, intent (in) :: n ! number of variables
249 integer, intent (in) :: rowno ! number of the row to be evaluated
250 integer, intent (in) :: nz ! number of nonzeros in this row
251 real*8, intent (in), dimension(n) :: x ! vector of current solution values
252 real*8, intent (in out) :: g ! constraint value
253 real*8, intent (in out), dimension(n) :: jac ! vector of derivatives for current constraint
254 integer, intent (in), dimension(nz) :: jcnm ! list of variables that appear nonlinearly
255 ! in this row. Ffor information only.
256 integer, intent (in) :: mode ! evaluation mode: 1 = function value
257 ! 2 = derivatives, 3 = both
258 integer, intent (in) :: ignerr ! if 1 then errors can be ignored as long
259 ! as errcnt is incremented
260 integer, intent (in out) :: errcnt ! error counter to be incremented in case
261 ! of function evaluation errors.
262 integer, intent (in) :: thread
263 real*8 usrmem(*) ! optional user memory
264!
265 if ( rowno .eq. 4 ) then
266!
267! Mode = 1 or 3. Function value: -sqr(x1+x2+x3+x4)
268!
269 if ( mode .eq. 1 .or. mode .eq. 3 ) then
270 g = -(x(1)+x(2)+x(3)+x(4))**2
271 endif
272!
273! Mode = 2 or 3: Derivative values:
274!
275 if ( mode .eq. 2 .or. mode .eq. 3 ) then
276 jac(1) = -2.d0*(x(1)+x(2)+x(3)+x(4))
277 jac(2) = -2.d0*(x(1)+x(2)+x(3)+x(4))
278 jac(3) = -2.d0*(x(1)+x(2)+x(3)+x(4))
279 jac(4) = -2.d0*(x(1)+x(2)+x(3)+x(4))
280 endif
281 ident_fdeval = 0
282 else
283 ident_fdeval = 1 ! Illegal row number
284 endif
285
286end Function ident_fdeval
integer function std_solution(xval, xmar, xbas, xsta, yval, ymar, ybas, ysta, n, m, usrmem)
Definition comdecl.f90:128
integer function std_status(modsta, solsta, iter, objval, usrmem)
Definition comdecl.f90:82
subroutine checkdual(case, minmax)
Definition comdecl.f90:365
integer function std_message(smsg, dmsg, nmsg, llen, usrmem, msgv)
Definition comdecl.f90:203
integer function std_errmsg(rowno, colno, posno, msglen, usrmem, msg)
Definition comdecl.f90:248
integer function coidef_fdeval(cntvect, coi_fdeval)
define callback routine for performing function and derivative evaluations.
integer function coidef_errmsg(cntvect, coi_errmsg)
define callback routine for returning error messages for row, column or Jacobian elements.
integer function coidef_message(cntvect, coi_message)
define callback routine for handling messages returned during the solution process.
integer function coidef_readmatrix(cntvect, coi_readmatrix)
define callback routine for providing the matrix data to CONOPT.
integer function coidef_status(cntvect, coi_status)
define callback routine for returning the completion status.
integer function coidef_solution(cntvect, coi_solution)
define callback routine for returning the final solution values.
integer function coidef_optfile(cntvect, optfile)
define callback routine for defining an options file.
integer function coidef_license(cntvect, licint1, licint2, licint3, licstring)
define the License Information.
Definition coistart.f90:680
integer function coidef_numvar(cntvect, numvar)
defines the number of variables in the model.
Definition coistart.f90:358
integer function coidef_numnz(cntvect, numnz)
defines the number of nonzero elements in the Jacobian.
Definition coistart.f90:437
integer function coidef_optdir(cntvect, optdir)
defines the Optimization Direction.
Definition coistart.f90:552
integer function coidef_numnlnz(cntvect, numnlnz)
defines the Number of Nonlinear Nonzeros.
Definition coistart.f90:476
integer function coidef_numcon(cntvect, numcon)
defines the number of constraints in the model.
Definition coistart.f90:398
integer function coidef_objvar(cntvect, objvar)
defines the Objective Variable.
Definition coistart.f90:586
integer function coidef_size()
returns the size the Control Vector must have, measured in standard Integer units.
Definition coistart.f90:176
integer function coidef_inifort(cntvect)
initialisation method for Fortran applications.
Definition coistart.f90:314
integer function coi_solve(cntvect)
method for starting the solving process of CONOPT.
Definition coistart.f90:14
integer function ident_readmatrix(lower, curr, upper, vsta, type, rhs, esta, colsta, rowno, value, nlflag, n, m, nz, usrmem)
Define information about the model.
Definition ident01.f90:131
integer function ident_fdeval(x, g, jac, rowno, jcnm, mode, ignerr, errcnt, n, nz, thread, usrmem)
Compute nonlinear terms and non-constant Jacobian elements.
Definition ident20.f90:232
program ident21
Main program. A simple setup and call of CONOPT.
Definition ident21.f90:33
real *8 obj
Definition comdecl.f90:10
integer solcalls
Definition comdecl.f90:9
integer sstat
Definition comdecl.f90:12
integer, parameter minimize
Definition comdecl.f90:25
integer stacalls
Definition comdecl.f90:8
subroutine flog(msg, code)
Definition comdecl.f90:56
logical do_allocate
Definition comdecl.f90:21
integer mstat
Definition comdecl.f90:11
subroutine startup
Definition comdecl.f90:35