Best AI Math Solvers for Python

Our powerful algorithms allow you to add complexity to your models to better represent reality, while still solving your model in the time available. Gurobi can be easily integrated into your applications using the languages that you are most familiar with. Our programming interfaces have been designed to be intuitive, lightweight, and modern to reduce your learning curve, while maximising your productivity. Our Python API features higher-level modeling constructs to make it easier to create optimization models. Choose from Anaconda Python Distributions that include pre-built libraries for application development. Spyder is for graphical development and Jupyter is for notebook-style development.

Artelys Knitro, a leading solver of large-scale nonlinear problems, offers a suite advanced algorithms and features that address complex challenges in various industries. It provides four state-of-the-art algorithms: two interior-point/barrier methods and two active-set/sequential quadratic programming methods, enabling efficient and robust solutions for a wide range of optimization problems. Knitro also includes three algorithms designed specifically for mixed-integer programming. These algorithms incorporate heuristics and cutting planes as well as branching rules in order to handle discrete variables. Knitro's key features include parallel multi-start capabilities to optimize global problems, automatic and parallel tuning for option settings, as well as smart initialization strategies that detect infeasibility quickly. The solver supports a variety of interfaces, such as object-oriented APIs in C++, C# Java, and Python.