Mixed-Integer Nonlinear Programming

This package provides robust solutions for complex mixed-integer nonlinear programming (MINLP) problems, effectively handling multiple constraint conditions and objective functions. The implementation utilizes advanced optimization algorithms including branch-and-bound methods, cutting-plane techniques, and heuristic approaches to efficiently find optimal solutions within reduced computation time. The package offers flexible customization options through parameter configuration interfaces and modular function design, allowing users to adapt the solver to their specific requirements. Key features include gradient-based optimization methods for nonlinear components, integer handling mechanisms through specialized branching strategies, and constraint management systems using penalty functions or barrier methods. The package comes with an intuitive user interface, comprehensive API documentation, and detailed examples demonstrating various application scenarios. With its combination of computational efficiency, algorithmic sophistication, and user-friendly design, this package represents an ideal solution for researchers and practitioners seeking a flexible, high-performance MINLP solver.