semvec/pypi-packages huggingface dataset:
mipsolver-pro 1.0.1
High-performance Mixed-Integer Programming solver (Professional Edition)
Requires Python: >=3.7
Keywords: optimization mip solver integer programming commercial


# MIPSolver Pro

High-performance C++ Mixed-Integer Programming solver with Python interface.

## Features
- Optimized Branch & Bound algorithm
- Support for MPS standard file format  
- Simple and easy-to-use Python API
- Commercial-grade algorithm protection
- Cross-platform support (Windows/Linux/macOS)

## Quick Start

```python
import mipsolver

# Create optimization problem
problem = mipsolver.Problem("MyProblem", mipsolver.ObjectiveType.MAXIMIZE)

# Add binary variables
x0 = problem.add_variable("x0", mipsolver.VariableType.BINARY)
x1 = problem.add_variable("x1", mipsolver.VariableType.BINARY)

# Set objective function
problem.set_objective_coefficient(x0, 5.0)
problem.set_objective_coefficient(x1, 8.0)

# Add constraints
c0 = problem.add_constraint("c0", mipsolver.ConstraintType.LESS_EQUAL, 10.0)
problem.add_constraint_coefficient(c0, x0, 2.0)
problem.add_constraint_coefficient(c0, x1, 4.0)

# Solve
solver = mipsolver.Solver()
solution = solver.solve(problem)

print(f"Optimal solution: {solution.get_objective_value()}")
print(f"Variable values: {solution.get_values()}")
```

## License
This software is commercial software protected by intellectual property rights. 
Use of this software indicates agreement to the relevant license terms.