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milp-solver-workflow

separate

Use for formulating, solving, debugging, and validating mixed-integer linear optimization models with open-source solvers, including variable indexing, sparse constraints, linearized costs, solver limits, MIP gaps, incumbent extraction, numerical tolerances, and deterministic output reporting.

When to use

• binary/integer decisions
• linear constraints
• linear or piecewise-linear objectives
• time-expanded scheduling models
• variable indexing
• sparse constraints
• linearized costs
• solver limits

When not to use

• complete formulation for any one task

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