C_1thread Directory Reference

Files
	largebnd.c
	This is the standard Tutorial model with a little twist: We assign some of the upper bounds a value above the maximum value of Rtmaxv. Earlier this would be a fatal error. Now the bounds are projected on the legal interval, a message is issued, and the model solved.
	largeres1.c
	Example with a Large Residual in the initial point.
	largeres2.c
	Example with a Large Residual in the initial point.
	leastsq.c
	We solve the following nonlinear least squares model.
	leastsq10.c
	This model is similar to leastsq5, but this time we define 2nd order directional information in the form of both an 2DDirIni routine where the bulk of the work is done and a 2DDir routine that just copies the information.
	leastsq2.c
	This model is similar to leastsq. The key difference is that we supply a callback routine that can compute 2nd derivatives of the model. However, we only include part of the 2nd derivatives corresponding to the direct objective terms, res(i)**2. The terms from b(i,j)*x(j)**2 are ignored in the 2nd derivatives. CONOPT will not notice the incorrect derivatives but it may converge more slowly.
	leastsq4.c
	This model is similar to leastsq2. The key difference is that the 2nd derivatives this time are complete as opposed to only including the res(i)**2 term.
	leastsq5.c
	This model is similar to leastsq, but this time we define 2nd order information in the form of a 2DDir routine.
	pinadd.c
	This is a CONOPT implementation of the Pindyck model from the GAMS model library. The implementation is similar to the one in pindyck, but this time we first solve the model for 16 periods and then we gradually increase the number of periods one at a time up to 20.
	pinadd2.c
	This is a CONOPT implementation of the Pindyck model from the GAMS model library. The implementation is similar to the one in pindyck, but this time we first solve the model for 16 periods and then we gradually increase the number of periods one at a time up to 20.
	pinadd2ddir.c
	This is a CONOPT implementation of the Pindyck model from the GAMS model library.
	pinadd2err.c
	This is a CONOPT implementation of the Pindyck model from the GAMS model library. The implementation is similar to the one in pindyck, but this time we first solve the model for 16 periods and then we gradually increase the number of periods one at a time up to 20.
	pindyck.c
	This is a CONOPT implementation of the Pindyck model from the GAMS model library. The GAMS model follows as documentation:
	pinopt.c
	pinopt is a version of pindyck in which we define options with an options routine.
	pinsquare.c
	Differences between pinsquare.s and pindyck.c is, that the price P is fixed at the inital value and the resulting model becomes a square system that is tested with COIDEF_Square.
	qp1.c
	The current model is a simple QP model with a sparse Q matrix, bounded variables, and one constraint.
	qp2.c
	Similar to qp1 but uses directional 2nd derivatives.
	qp3.c
	Similar to qp1 but uses 2nd derivatives as a matrix.
	qp4.c
	A combination of qp2 and qp3.
	qp5.c
	Similar to qp1 but uses 2nd derivatives computed using perturbations.
	square.c
	This is a square model where we pretend that the second constraint is completely nonlinear.
	square2.c
	A square model where we pretend that the second constraint is completely nonlinear.
	square3.c
	A square model where we pretend that the second and third constraints are completely nonlinear.
	tutorial.c
	a tutorial providing an introduction to the CONOPT API
	tutorial2.c
	This model is a revision of Tutorial in which we have added a set of 2nd derivative routines, Tut_2DLagrStr and Tut_2DLagrVal.
	tutorial2r.c
	This is a revised version of Tutorial2 in which the production function is split into two equations using an intermediate variable.
	tutoriali.c
	This model is a revision of Tutorial in which we have added a an initialization callback for the First derivative, Tut_FDEvalIni.
	tutorialk.c
	This model is a revision of Tutorial in which we have made the capital stock, K, a variable in the model fixed at the value 4.