Gsol

Gsol is a software framework designed for mathematical optimization and constraint solving. It provides a modeling approach that emphasizes graph-based representations, with variables treated as nodes and constraints as edges to enable compact descriptions of large-scale problems. The core engine supports a range of problem classes, including linear, mixed-integer, and nonlinear programming, and can be connected to multiple solver backends.

The architecture of Gsol is modular and plugin-friendly, allowing components such as parsers, solvers, and pre- and post-processing tools to be swapped or extended. It offers bindings for several programming languages, including C++, Python, and Java, and provides APIs for defining custom objective functions and constraints.

History and development occur within an open-source context, with the project beginning as a community-driven effort in the mid-2010s. Since then, it has seen periodic major releases that expand solver support, improve performance, and enhance debugging and visualization capabilities. Documentation, tutorials, and example models accompany the project to aid adoption in both research and practical settings.

Applications of Gsol span operations research, energy systems planning, logistics and scheduling, network design, and decision-support tooling that relies on optimization. The graph-based modeling approach aims to simplify complex interdependencies while enabling scalable solution techniques suitable for both teaching and real-world use. See also: optimization, constraint programming, mathematical programming, and open-source solvers.