Commit Graph
3 Commits
Author SHA1 Message Date
Melvin Alvarez 6b084ae396 docs: add execution outputs to working notebooks
Successfully executed and saved outputs for:
- 01_hmm_tutorial.ipynb (HMM regime detection examples)
- 03_optimal_control_tutorial.ipynb (Optimal control and Kalman filtering)

These notebooks now demonstrate working code with real outputs,
validating documentation examples for v1.0.0 release.

Note: Several notebooks require API updates to match current library:
- 02_mcmc_tutorial.ipynb - mcmc_sample API changed
- 03_differential_evolution_tutorial.ipynb - parameter names changed
- 04_kalman_filter_sensor_fusion.ipynb - syntax errors
- 04_real_world_applications.ipynb - requires investigation
- 05_performance_benchmarks.ipynb - requires investigation
- mean_field_games_tutorial.ipynb - requires investigation

These will be fixed in follow-up commits.
2026-02-16 16:59:21 +01:00
Melvin Alvarez cafb3476a4 docs: fix 404 broken links
- Replace non-existent Python examples with actual files
- Fix all placeholder yourusername URLs to ThotDjehuty
- Remove references to non-existent optimal_control.md theory doc
- Update examples to reference: hmm_regime_detection.py, parallel_de_benchmark.py, polaroid_optimizr_integration.py, timeseries_integration.py
2026-01-06 14:36:08 +01:00
Melvin Avarez 923d27e87b Initial commit: OptimizR - High-performance optimization algorithms in Rust with Python bindings 2025-12-03 18:16:48 +01:00