Numerical error refers to the difference between the exact mathematical value of a quantity and its numerical approximation or representation in computations. These errors can arise in various contexts, particularly in numerical methods, computer simulations, and calculations involving real numbers. There are several types of numerical errors, including: 1. **Truncation Error**: This occurs when a mathematical procedure is approximated by a finite number of terms.

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  1. Numerical analysis
  2. Algorithms
  3. Applied mathematics
  4. Fields of mathematics
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