References and attribution

Scientific background

• Sebastian Sager, Sampling Decisions in Optimum Experimental Design in the Light of Pontryagin's Maximum Principle, SIAM Journal on Control and Optimization 51(4), 3181–3207 (2013). doi:10.1137/110835098. Background on dynamic sampling design and information-gain functions.
• Carl Julius Martensen, Christoph Plate, and Sebastian Sager, DynamicOED.jl: A Julia package for solving optimum experimental design problems, Journal of Open Source Software 9(98), 6605 (2024). doi:10.21105/joss.06605. Scientific/software context; the current CorleoneOED API is specified by this manual.
• Christoph Plate, Carl Julius Martensen, and Sebastian Sager, Optimal Experimental Design for Universal Differential Equations, IEEE Transactions on Automatic Control (2025), doi:10.1109/TAC.2025.3609533. Open preprint: arXiv:2408.07143. Related parameter-reduction methods. The SVD guide states the specific surrogate, thresholds, and approximation used here; this package does not implement every method in the paper.

The tutorials adapt the mintOC Lotka experimental-design benchmark and compartmental OED benchmark. They demonstrate continuous relaxations on the stated grids. Their successful local solver termination is not a certificate of a globally optimal integer design or exact reproduction of the benchmark's reference solution.

Software provenance and license

The measurement abstraction, mixed continuous/discrete design, multi-experiment work, and DAE augmentation were adapted from Christoph Plate (@chplate) in AlCap23/Corleone.jl, using its main branch at 7443580115. See also the measurement abstraction and multi-experiment work.

The current rewrite adapts those contributions to Corleone's shared layer, trajectory, and optimization contracts. Original MIT license and author credits are retained in LICENSE.md and the package metadata. Software provenance is separate from the scientific references above.