Why is it that when floating-point arithmetic is done by a binary digital computer, there is always some degree of inaccuracy in the result?
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Why is it that when floating-point arithmetic is done by a binary digital computer, there is always some degree of inaccuracy in the result?
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- In a CPU, _______ arithmetic generally is easier to implement than _______ arithmetic because of a simpler data coding scheme and data manipulation circuitry.Why is it that when floating-point arithmetic is performed by a binary digital computer, there is always some degree of error in the result?Why is it that whenever a binary digital computer does arithmetic on floating-point data, there is always some degree of inaccuracy in the result?
- Why is it that whenever floating-point arithmetic is performed on a binary digital computer, the results are guaranteed to be off by some degree?Why is it that when a binary digital computer does floating-point arithmetic, the output always contains some degree of error?When a binary digital computer does floating-point arithmetic, why does it always provide an imprecise result?
- Why is there always some degree of error while performing floating-point arithmetic on a binary digital computer?Is there a fundamental reason why a binary digital computer will always provide an imprecise answer whenever floating-point arithmetic is performed?Is there a fundamental rationale behind why floating-point arithmetic operations on a binary digital computer will always result in an imprecise response being returned by the computer?
- Why does a binary digital computer always give a rough answer when it does floating-point math?Why does a binary digital computer always provide an imprecise output whenever it does floating-point arithmetic?The accuracy of the floating point numbers representable in two 16 bit words of a computer is approximately 6 digits why?