Convex Optimization Solver
Purpose
Provides capabilities for formulating and solving convex optimization problems efficiently and reliably.
Capabilities
- Linear programming (LP)
- Quadratic programming (QP)
- Second-order cone programming (SOCP)
- Semidefinite programming (SDP)
- Conic optimization
- Duality analysis
Usage Guidelines
- Convexity Verification: Confirm problem convexity
- Formulation: Express problem in standard conic form
- Solver Selection: Choose solver based on problem structure
- Duality: Extract dual variables for sensitivity analysis
Tools/Libraries
- CVXPY
- Gurobi
- MOSEK
- SCS
- ECOS