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IEEE 1788-2015

IEEE Standard for Interval Arithmetic

Standard by IEEE, 2015

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  • Language: English
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  • Language: English
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IEEE 1788-2015 defines the standard for interval arithmetic, giving a formal basis for representing and calculating with ranges of values rather than single numbers. In computing and processing applications, this helps address uncertainty, rounding effects, and numerical reliability. IEEE 1788-2015 is relevant where exact computation is difficult or where engineering decisions depend on verified bounds, making it useful for technical work that needs consistent and traceable numerical behavior.

What is IEEE 1788-2015?

This standard sets out a framework for interval arithmetic, a method that treats values as intervals with lower and upper limits. It is intended to support reliable numerical computation by defining how interval data should be handled in calculations, comparisons, and related operations. As a technical document, IEEE 1788-2015 helps provide consistency for software and systems that must account for uncertainty, approximation, or bounded error in computational results.

Where is IEEE 1788-2015 used?

IEEE 1788-2015 is typically used in computing environments where numerical stability and validated results matter, such as scientific software, engineering analysis tools, and control-oriented applications. It can also be relevant in systems that process measurements, simulation outputs, or model-based calculations across components, circuits, devices, and broader system design workflows. In these settings, the standard supports structured handling of numeric ranges instead of relying only on point estimates.

Why is IEEE 1788-2015 important?

The main value of IEEE 1788-2015 is that it supports more dependable numerical practices when exact values are not practical. By defining a common approach to interval arithmetic, it can improve consistency across design, testing, and implementation work. This matters for compliance and risk reduction, especially when software or engineering calculations must show bounded outcomes, manage rounding behavior, or reduce the chance of hidden numerical errors in technical decision-making.

  • Interval arithmetic framework
  • Lower and upper bound handling
  • Numerical reliability and rounding control
  • Computing and engineering applications
SKU: 9296efd040ce

  • Publication Date: 2015
  • Standard Status: Active
  • Publisher: IEEE
  • Subject: Computing and Processing; Components, Circuits, Devices and Systems
  • Official IEEE: Doi link
  • This Version: 1788 (2015)

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