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Fixes line length from Codacy warnings
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auto-differentiation-dev authored Mar 20, 2024
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Showing 1 changed file with 6 additions and 3 deletions.
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Expand Up @@ -48,11 +48,14 @@ See [automatic differentation mathematical background](https://auto-differentiat

Application areas:

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

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Expected: 80; Actual: 98
machine learning models.
- Optimization: Solving optimization problems in engineering and finance.
- Numerical Analysis: Enhancing numerical solution methods for differential equations.
- Numerical Analysis: Enhancing numerical solution methods for differential
equations.

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Expected: 80; Actual: 93
- Scientific Computing: Simulating physical systems and processes.
- Risk Management and Quantitative Finance: Assessing and hedging risk in financial models.
- Risk Management and Quantitative Finance: Assessing and hedging risk in
financial models.
- Computer Graphics: Optimizing rendering algorithms.
- Robotics: Improving control and simulation of robotic systems.
- Meteorology: Enhancing weather prediction models.
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