Numerical artifacts refer to errors or distortions in numerical data or results that arise due to various factors in computational processes. These artifacts can occur in simulations, numerical methods, data collection, or processing, and can negatively impact the accuracy and reliability of analyses and conclusions. Some common sources of numerical artifacts include: 1. **Rounding Errors**: When numbers are rounded to a certain number of significant digits, this can introduce small inaccuracies, especially in iterative calculations.
New to topics? Read the docs here!