docs: enhance ReadTheDocs with visualization outputs and GitHub links
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@@ -108,15 +108,17 @@ print("Half-life:", estimate_half_life_py(returns))
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## Notebooks
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- Differential Evolution: `examples/notebooks/03_differential_evolution_tutorial.ipynb`
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- Mean Field Games: `examples/notebooks/mean_field_games_tutorial.ipynb`
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- HMM: `examples/notebooks/01_hmm_tutorial.ipynb`
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- MCMC: `examples/notebooks/02_mcmc_tutorial.ipynb`
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- Optimal Control & Kalman: `examples/notebooks/03_optimal_control_tutorial.ipynb`
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- Performance benchmarks: `examples/notebooks/05_performance_benchmarks.ipynb`
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Explore interactive tutorials on GitHub:
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- **Differential Evolution**: [`03_differential_evolution_tutorial.ipynb`](https://github.com/ThotDjehuty/optimiz-r/blob/main/examples/notebooks/03_differential_evolution_tutorial.ipynb)
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- **Mean Field Games**: [`mean_field_games_tutorial.ipynb`](https://github.com/ThotDjehuty/optimiz-r/blob/main/examples/notebooks/mean_field_games_tutorial.ipynb)
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- **HMM**: [`01_hmm_tutorial.ipynb`](https://github.com/ThotDjehuty/optimiz-r/blob/main/examples/notebooks/01_hmm_tutorial.ipynb)
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- **MCMC**: [`02_mcmc_tutorial.ipynb`](https://github.com/ThotDjehuty/optimiz-r/blob/main/examples/notebooks/02_mcmc_tutorial.ipynb)
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- **Optimal Control & Kalman**: [`03_optimal_control_tutorial.ipynb`](https://github.com/ThotDjehuty/optimiz-r/blob/main/examples/notebooks/03_optimal_control_tutorial.ipynb)
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- **Performance Benchmarks**: [`05_performance_benchmarks.ipynb`](https://github.com/ThotDjehuty/optimiz-r/blob/main/examples/notebooks/05_performance_benchmarks.ipynb)
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## Contribute Examples
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1. Fork the repository and add notebooks under `examples/notebooks/`
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1. Fork the [repository](https://github.com/ThotDjehuty/optimiz-r) and add notebooks under `examples/notebooks/`
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2. Keep dependencies minimal (NumPy/Matplotlib preferred)
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3. Ensure the notebook runs end-to-end before submitting a PR
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