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Tulip is an open-source interior-point solver for linear optimization, written in pure Julia. It implements the homogeneous primal-dual interior-point algorithm with multiple centrality corrections and therefore handles unbounded and infeasible problems. Tulip’s main feature is that its algorithmic framework is disentangled from linear algebra implementations. This allows to seamless integration of specialized routines for structured problems.
Features
- Tulip is licensed under the MPL 2.0 license
- The recommended way of using Tulip is through JuMP or MathOptInterface (MOI)
- The type Tulip.Optimizer is parametrized by the model's arithmetic
- Documentation available
- Command-line executable
- Linear objectives, linear constraints and lower/upper bounds on variables are supported
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