A toolbox that provides quadratic programming in Scilab through Ipopt library.

1. Follow these instructions provided in IPOPT documentation to download and install.
2. Clone this repository on your computer or download this repository in .zip format and extract it.
3. Note the path to header files & libraries of IPOPT.
   In my computer : header files can be found in /home/saikiran/Ipopt-3.12.3/include/coin
   Libraries can be found in /home/saikiran/Ipopt-3.12.3/lib
4. Go to extracted folder (of this toolbox), open builder.sce.
5. Set values of INCLUDE_PATH,LIBRARIES_PATH and gpp properly using step 3.
6. Open Scilab software.
7. Change pwd (present working directory) to toolbox folder.
8. Execute exec builer.sce in Scilab.
9. If you got any errors ,please make sure that you followed step 3 and 5.
10. Execute exec loader.sce in Scilab.
11. If you got any errors ,please make sure that you followed step 3 and 5.
12. If you successfully completed this far, your installation is successful.
13. Jump to step 3 of next section.

1. Whenever you want to use this toolbox.

2. Just go to toolbox directory and run exec loader.sce.(No need to run exec builder.sce)

3. You can call solveQpprob with necessary arguments to solve a problem.
   E.g.
   min x'Qx+P'x
   s.t
   cL' <= Cx' <= cU'
xL <= x' <= xU

   Here, `x` is a *column-vector* of variables.   
         `Q` is a *square* matrix of co-efficients of quadratic terms of objective.  
         `P` is a *row-vector* of co-efficients of linear terms of objective.  
         `cL` and `cU` are *row-vectors* of lower & upper bounds of all constraints .  
         `C` is a `m X n` matrix with each row as co-efficients of variables in each constraint.  
         `m` and `n` are *no.of constraints* and *no.of variables* respectively.
         `xL` and `xU` are *row-vectors* of lower & upper bounds of all variables .  
   

4. solveQpprob(n,m,Q,P,C,cL,cU,xL,xU) will solves and prints the result on Scilab console.

5. You can refer testScript.sce for examples and run exec testScript.sce to test those examples.