feat: Update logo to optimiz-rs branding 🎨

Logo Updates:
- ✅ New logo: logo_optimizrs.png (1024x1536 PNG)
- ✅ README.md: Updated logo reference
- ✅ docs/source/conf.py: Updated html_logo and html_favicon
- ✅ Removed old logos: logo_optimizr_valid.png, logo_optimizr_valid.jpeg
- ✅ Copied from: business/logo/logo_optimizrs.png

The logo now reflects the new optimiz-rs package name across:
- GitHub README
- ReadTheDocs documentation
- Sphinx HTML output
- favicon

All documentation will automatically use the updated branding.

README.md

@@ -1,7 +1,7 @@
 # OptimizR 🚀
 
 <p align="center">
-    <img src="docs/source/logo_optimizr_valid.png" alt="OptimizR Logo" width="220" />
+    <img src="docs/source/logo_optimizrs.png" alt="OptimizR Logo" width="220" />
 </p>
 
 **High-performance optimization algorithms in Rust with Python bindings**

docs/source/conf.py

@@ -34,8 +34,8 @@ html_theme = 'furo'  # Modern, clean theme
 html_static_path = ['_static']
 html_title = 'OptimizR Documentation'
 html_short_title = 'OptimizR'
-html_logo = 'logo_optimizr_valid.png'
-html_favicon = 'logo_optimizr_valid.png'
+html_logo = 'logo_optimizrs.png'
+html_favicon = 'logo_optimizrs.png'
 
 html_theme_options = {
     "light_css_variables": {

docs/source/examples.md

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