round- off error - meaning and definition. What is round- off error
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What (who) is round- off error - definition

DIFFERENCE BETWEEN THE RESULT PRODUCED BY AN ALGORITHM WHEN USING EXACT ARITHMETIC AND WHEN USING FINITE-PRECISION, ROUNDED ARITHMETIC
Rounding error; Roundoff error; Round-off; Round off; Rounding errors; Round-off errors

Round-off error         
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.
round off         
If you round off an activity with something, you end the activity by doing something that provides a clear or satisfactory conclusion to it.
The Italian way is to round off a meal with an ice-cream...
This rounded the afternoon off perfectly...
He rounds off by proposing a toast to the attendants.
PHRASAL VERB: V P n (not pron), V n P, V P by -ing
obi-wan error         
TYPE OF NUMERICAL OR COUNTING ERROR
Fencepost error; Obi-wan error; Obi-Wan error; Off by one errors; Off by one error; Off-by-one-error; Off by one (bug); Buffer fence post error; OB1; Fencepost problem; Fence post error; Off-by-one; Off by one; Off by 1; Off-by-one errors; Banana error; Fence-post error; OBOB; Picket-fence problem
/oh'bee-won" er"*r/ [RPI, from "off-by-one" and the Obi-Wan Kenobi character in "Star Wars"] A loop of some sort in which the index is off by 1. Common when the index should have started from 0 but instead started from 1. A kind of off-by-one error. See also zeroth.

Wikipedia

Round-off error

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 (which in theory have infinitely many digits), 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.

When a sequence of calculations with an input involving any roundoff error are made, errors may accumulate, sometimes dominating the calculation. In ill-conditioned problems, significant error may accumulate.

In short, there are two major facets of roundoff errors involved in numerical calculations:

  1. The ability of computers to represent both magnitude and precision of numbers is inherently limited.
  2. Certain numerical manipulations are highly sensitive to roundoff errors. This can result from both mathematical considerations as well as from the way in which computers perform arithmetic operations.