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Everything about Round-off error

Computational error due to rounding numbers

In computing, a roundoff error, also called rounding error, is the difference between the result produced by a given algorithm using exact arithmetic and the result produced by the same algorithm using finite-precision, rounded arithmetic. Rounding errors are due to inexactness in the representation of real numbers and the arithmetic operations done with them. This is a form of quantization error. When using approximation equations or algorithms, especially when using finitely many digits to represent real numbers, one of the goals of numerical analysis is to estimate computation errors. Computation errors, also called numerical errors, include both truncation errors and roundoff errors. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Round-off errorA 5-minute orientation
  2. Skim a recent paper: A novel feed rate scheduling method with acc-jerk-continuity and round-off error elimination for non-uniform rational B-spline interpolationInfluential work since 2022
  3. Pick up a classic book: Winsor McCayThe most-reprinted book on the subject
  4. Read the landmark paper: CADNA: a library for estimating round-off error propagationCited 83 times
  5. Go sideways: Machine epsilonA closely related topic
  6. Go sideways: Floating-point arithmeticA closely related topic

📖 Definitions

Noun The difference between the result produced by a given algorithm using exact arithmetic and the result produced by the same algorithm using finite-precision, rounded arithmetic.

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics