0.2.0 (2025-06-07)

Breaking Changes

Add sparse matrix support for constraint matrices

This release adds support for sparse matrix representation in constraint specifications, enabling efficient handling of large-scale optimization problems with mostly zero coefficients.

New Features:

• Sparse matrix format using COO (Coordinate) representation
• Backward compatible with existing dense matrix format
• Comprehensive validation for sparse matrix inputs
• Memory-efficient handling of large problems

Usage:
Use the new sparse format instead of dense for problems with many zero coefficients:

{
  "constraints": {
    "sparse": {
      "rows": [0, 0, 1, 1],
      "cols": [0, 2, 1, 3],
      "values": [1, 1, 1, 1],
      "shape": [2, 4]
    },
    "sense": [">=", ">="],
    "rhs": [2, 3]
  }
}

Recommended for problems with > 1000 variables/constraints or < 10% non-zero coefficients.