coin-or/Ipopt

Health v2 · maintenance only

Adoption not part of the score

1778 stars · 317 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Ipopt (Interior Point OPTimizer) is an open-source C++ software package for large-scale nonlinear optimization of continuous problems with bounds and general constraints. It can be linked as a library from C++, C, Fortran, or Java, used via an AMPL solver executable, or accessed through an R interface.

Use cases

• solve large-scale nonlinear programming problems with constraints
• find local optima of nonconvex twice-differentiable objective functions
• optimize engineering design problems with variable bounds and equality constraints
• embed a nonlinear solver into C++/Fortran/Java applications
• solve NLP models from AMPL or R
• perform interior-point optimization for trajectory or process optimization

When to choose

• you need a mature, well-maintained open-source NLP solver with permissive commercial use (EPL)
• your problem is smooth (twice continuously differentiable) with nonlinear constraints and bounds
• you need to link a solver library into your own C++, C, Fortran, or Java code
• you want a proven interior-point method for large-scale continuous optimization

When to avoid

• your problem is purely linear or quadratic where specialized LP/QP solvers are faster
• your functions are non-differentiable, discontinuous, or involve integer variables (mixed-integer problems)
• you need a global optimum rather than a local solution
• you need a pure-Python or pure-Julia solver without native dependencies

Facets

library · maturity stable

math sdk cli mathematics performance windows cpp cross-platform nonlinear-optimization interior-point-method nlp-solver coin-or mathematical-optimization constrained-optimization algorithms scientific-computing linux macos

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