Mixed integer optimization
Mixed-integer linear and nonlinear programmingFrom its SKILL.md
npx -y skills add a5c-ai/babysitter --skill mixed-integer-optimizationAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
1.2 KB, 134 tokens by cl100k_base, as published. Nobody here has run it
Mixed-Integer Optimization
Purpose
Provides capabilities for formulating and solving mixed-integer linear and nonlinear programming problems.
Capabilities
- Branch and bound/cut algorithms
- MIP formulation techniques
- Indicator constraints
- Big-M reformulations
- Lazy constraints
- Solution pool generation
Usage Guidelines
- Formulation: Use tight formulations with valid inequalities
- Big-M Selection: Choose appropriate Big-M values
- Branching: Configure branching priorities
- Solution Pool: Generate diverse feasible solutions
Tools/Libraries
- Gurobi
- CPLEX
- SCIP
- CBC
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.