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Advanced solver for various types of optimization problems including LP, MIP, and QP. Known for its performance and robustness, especially in handling large-scale problems and in enterprise applications.

Provides routines to solve linear, integer, and nonlinear optimization problems, and offers features for global optimization and stochastic optimization.

A powerful language that lets you define optimization models and data abstractions in a clear and concise way. It is particularly useful in large-scale and complex problems.

GNU Linear Programming Kit that allows for the solution of linear programming and mixed integer programming problems. It is often used in academic and industrial research projects due to its open-source nature.

Provides comprehensive mathematical optimization solutions including solvers for LP, MIP, QP, and more, often used in strategic planning and operational management across various industries.

A high-performance mathematical programming solver for linear programming, mixed integer programming, and quadratic programming. Used extensively in logistics, finance, and supply chain management.

An initiative to promote open-source software for the operations research community. Includes a collection of libraries for various optimization techniques like branch-and-cut, linear programming, and others.

Provides functions for finding parameters that minimize or maximize objectives while satisfying constraints. Commonly used for linear, nonlinear, continuous, and discrete optimization problems.

An optimization software that is widely recognized for its capability in solving large-scale nonlinear problems, providing several algorithms for different kinds of optimization challenges.