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Adds application areas to docs & readme #97

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Mar 20, 2024
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Adds application areas to docs & readme #97

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45f6cab
Adds application areas to docs / readme
auto-differentiation-dev Mar 19, 2024
bf79833
Fixes line length from Codacy warnings
auto-differentiation-dev Mar 20, 2024
24ca728
Remove git-core ppa on artful as it has been removed from launchpad
auto-differentiation-dev Mar 20, 2024
503abda
Also remove git-core ppa for xenial distribution if present
auto-differentiation-dev Mar 20, 2024
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12 changes: 12 additions & 0 deletions README.md
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Expand Up @@ -46,6 +46,18 @@
allowing to compute derivatives with minimal changes to the program.
See [automatic differentation mathematical background](https://auto-differentiation.github.io/aad/) for more details.

Application areas:

- Machine Learning and Deep Learning: Training neural networks or other machine learning models.

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README.md#L51 

Expected: 80; Actual: 98
- Optimization: Solving optimization problems in engineering and finance.
- Numerical Analysis: Enhancing numerical solution methods for differential equations.
- Scientific Computing: Simulating physical systems and processes.
- Risk Management and Quantitative Finance: Assessing and hedging risk in financial models.

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README.md#L55 

Expected: 80; Actual: 93
- Computer Graphics: Optimizing rendering algorithms.
- Robotics: Improving control and simulation of robotic systems.
- Meteorology: Enhancing weather prediction models.
- Biotechnology: Modeling biological processes and systems.

Key features:

- Forward and adjoint mode for any order, using operator-overloading
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16 changes: 16 additions & 0 deletions docs/.overrides/home.html
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Expand Up @@ -72,6 +72,22 @@ <h2>Automatic Differentiation</h2>
</p>
</div>

<!-- Application areas --->
<div class="homepage-section">
<h2>Application areas</h2>
<ul>
<li><b>Machine Learning and Deep Learning:</b> Training neural networks or other machine learning models.</li>
<li><b>Optimization:</b> Solving optimization problems in engineering and finance.</li>
<li><b>Numerical Analysis:</b> Enhancing numerical solution methods for differential equations.</li>
<li><b>Scientific Computing:</b> Simulating physical systems and processes.</li>
<li><b>Risk Management and Quantitative Finance:</b> Assessing and hedging risk in financial models.</li>
<li><b>Computer Graphics:</b> Optimizing rendering algorithms.</li>
<li><b>Robotics:</b> Improving control and simulation of robotic systems.</li>
<li><b>Meteorology:</b> Enhancing weather prediction models.</li>
<li><b>Biotechnology:</b> Modeling biological processes and systems.</li>
</ul>
</div>


<!-- Features -->
<div class="homepage-section">
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