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ATOMS : Sci-IPOpt details
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A Non-linear Interior Point Optimization Solver
(558 downloads for this version - 27004 downloads for all versions)
Stéphane Mottelet
Michael Baudin
Yann Collette
Stéphane Mottelet
Administrator Atoms
Creation Date
July 5, 2021
Source created on
Scilab 6.1.x
Binaries available on
Scilab 6.1.x:
MacOSX Linux 64-bit Windows 64-bit
Install command
--> atomsInstall("sci_ipopt")
            This is the interface between Scilab and IPOpt, the solver for non linear
constrained optimization problems. IPOpt is available at


The current module provides the following functions :

 * ipopt : Scilab interface to the IPOpt optimizer

 The module has the following features :
  * Manages nonlinearily constrained optimization problems.
  * Manages the sparsity pattern of the gradient of the constraints.
  * Manages the sparsity pattern of the Hessian of the Lagrangian.
  * Allows to use Scilab sparse matrices instead of triplets (1.1 feature).
  * Manages the linearity of the variables, of the constraints.
  * Uses Mumps as the sparse solver (Pardiso for the windows version).
  * Manages functions provided as macros, or as compiled externals (Fortran or
  * Deals with Nan or Inf returned by user functions by backtracking (1.2
  * Allows computation of Hessian in objective function (1.3 feature)



 * 2008 - Yann Collette
 * 2009-2010 - Consortium Scilab - Digiteo - Yann Collette
 * 2010 - Consortium Scilab - Digiteo - Michael Baudin
 * 2014 - Scilab Enterprises
 * 2020-2021 - Stéphane Mottelet


This toolbox is released under the GPL licence

Troubleshooting (Windows only)

With the actual version of Scilab (6.1) there is a mismatch between the version
of Intel Fortran runtime used by Scilab and Ipopt library. The first time you
load the toolbox, you will be invited to allow Scilab to upgrade this library.
You may have to gain administrator rights to do this, depending on your Scilab
installation directory.
Files (5)
[1.26 kB]
Miscellaneous file

[157.17 kB]
Source code archive

[4.18 MB]
MacOSX binary for Scilab 6.1.x

[4.69 MB]
Linux 64-bit binary for Scilab 6.1.x

[45.87 MB]
Windows 64-bit binary for Scilab 6.1.x

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