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      • Underflow is a condition or exception that results if a number calculation is too small to be represented by the CPU (central processing unit) or memory. It may be caused by a limitation of the computer's hardware, its architecture, or the data type of the numbers used in the calculation.
      www.computerhope.com/jargon/u/underflo.htm
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  2. May 30, 2024 · Definition. When we attempt to store a value that cannot be represented correctly by a data type, an Integer Overflow (or) Underflow occurs. If the value is more than the maximum representable value, the phenomenon is called Integer Overlow.

  3. Jun 15, 2011 · the condition in a computer program that can occur when the true result of a floating point operation is smaller in magnitude (that is, closer to zero) than the smallest value representable as a normal floating point number in the target datatype.

  4. Feb 3, 2024 · Overflow happens when the result is too large, while underflow occurs when the result is too small. In this article, we'll delve into overflow and underflow in computer architecture, including how to define overflow and underflow with examples, associated risks, prevention techniques, and detection methods.

  5. Apr 17, 2023 · Underflow. Underflow is a type of rounding error that can be extremely damaging. When integers near zero are rounded to zero, underflow occurs. When the argument is zero instead of a small positive number, many functions act qualitatively differently.

  6. The term arithmetic underflow (also floating point underflow, or just underflow) is a condition in a computer program where the result of a calculation is a number of more precise absolute value than the computer can actually represent in memory on its central processing unit (CPU).

  7. Another source of potential conflict can arise when the value of a variable becomes too large or too small for its type for the computer running the application. When this occurs, it's called overflow and underflow.

  8. Definition. Underflow refers to a condition in computer systems where a calculation results in a number that is too small to be represented within the available data type. This situation often occurs with floating-point numbers when the value is closer to zero than the smallest representable value, leading to inaccuracies or unexpected results.

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