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Mixed integer optimization

Skill a5c-ai/babysitter/library/specializations/domains/science/mathematics/skills/mixed-integer-optimization

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

Install
npx -y skills add a5c-ai/babysitter --skill mixed-integer-optimization

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Mixed-integer linear and nonlinear programming

SKILL.md

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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

  1. Formulation: Use tight formulations with valid inequalities
  2. Big-M Selection: Choose appropriate Big-M values
  3. Branching: Configure branching priorities
  4. Solution Pool: Generate diverse feasible solutions

Tools/Libraries

  • Gurobi
  • CPLEX
  • SCIP
  • CBC

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