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Zero error - translation to arabic

COMPLEXITY CLASS

Zero error probability in polynomial time; Zero-error Probabilistic Polynomial time

Zero error

انحراف عن الصفر

division by zero

THE RESULT YIELDED BY A REAL NUMBER WHEN DIVIDED BY ZERO

Divide by zero; One over Zero; One Over Zero; ÷0; ÷ 0; Division by 0; Divide with zero; Divide by zero error; Divide by 0 error; Divide by 0; Division By Zero; Divided by Zero; Dividing by zero; Division by Zero; X/0; /0; Divided by zero; X÷0; 1/0; Divide-by-zero; Zero denominator; Zero division; Dividing by 0; A/0; Divide by 0 Error; Divide By Zero; 1÷0; Divide by Zero; Division by zero error; Divide 0

القسمة على الصفر .

experimental error

DIFFERENCE BETWEEN A MEASURED QUANTITY VALUE AND A REFERENCE QUANTITY VALUE

ObservationalError; Measurement error; Experimental error; Systematic bias; Random error; Systematic error; Systemic error; Alleged systemic bias; Random errors; Systematic errors; Measurement errors; Observational Error; Systematic effect; Chance error; Accidental error; Constant error; Stochastic error; Observation error; Systematic and random error; Systematic and random errors; Random and systematic errors; Measurement Error

‎ خَطَأٌ تَجْرِبِيّ‎

Definition

random error

¦ noun Statistics an error in measurement caused by factors which vary from one measurement to another.

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Wikipedia

ZPP (complexity)

In complexity theory, ZPP (zero-error probabilistic polynomial time) is the complexity class of problems for which a probabilistic Turing machine exists with these properties:

It always returns the correct YES or NO answer.
The running time is polynomial in expectation for every input.

In other words, if the algorithm is allowed to flip a truly-random coin while it is running, it will always return the correct answer and, for a problem of size n, there is some polynomial p(n) such that the average running time will be less than p(n), even though it might occasionally be much longer. Such an algorithm is called a Las Vegas algorithm.

Alternatively, ZPP can be defined as the class of problems for which a probabilistic Turing machine exists with these properties:

It always runs in polynomial time.
It returns an answer YES, NO or DO NOT KNOW.
The answer is always either DO NOT KNOW or the correct answer.
It returns DO NOT KNOW with probability at most 1/2 for every input (and the correct answer otherwise).

The two definitions are equivalent.

The definition of ZPP is based on probabilistic Turing machines, but, for clarity, note that other complexity classes based on them include BPP and RP. The class BQP is based on another machine with randomness: the quantum computer.

https://en.wikipedia.org/wiki/ZPP (complexity)

Examples of use of Zero error

1. "You are never going to be at a zero error rate because this is a human endeavor," Wainstein said.

2. If forensic scientists wish to retain their credibility, they must abandon any pretence of zero error David Wilson Thursday September 14, 2006 The Guardian It‘s hard to escape forensic science.

3. I sense a desperation by some forensic scientists who seem to want to maintain a "zero error" pretence about their discipline, which simply cannot be sustained in the face of mounting evidence.