Learn the methods
The Library connects derivations to worked examples through technical notes, tutorials, notebooks, and videos.
Read the LibraryOptimization, controls, estimation, and complex systems. Connecting mathematical theory, numerical methods, working software, and engineering education.
Optimization is the central thread: making objectives, constraints, and uncertainty explicit, then studying how numerical methods behave in a working system. The research spans convex optimization, optimal and model predictive control, estimation, dynamics, and deterministic numerical computing.
The aim is to build useful open technical infrastructure and explain the mathematics behind it. Experiments and reference applications connect theory to implementation, with assumptions, numerical behavior, and limitations made visible.
Maintained by David Akre in a personal capacity, Akreon brings together open-source engineering and technical education. Community use, reproducibility reports, and contributions help the work develop.
The Library connects derivations to worked examples through technical notes, tutorials, notebooks, and videos.
Read the LibrarySource code and current software documentation live on GitHub, alongside build instructions, examples, issues, and contribution discussions.
View on GitHubThe project grows out of an interest in optimization, dynamical systems, and translating mathematical ideas into useful software.
About the project and maintainer