| 1. | In mathematical expressions the sign function is often represented as.
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| 2. | There is no ambiguity at the transition point of the sign function.
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| 3. | Also, it is consistent with the sign function which has no such ambiguity.
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| 4. | As example, consider the sign function \ sgn ( x ) which is defined through
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| 5. | As a counterexample look on the sign function \ sgn ( x ) which is defined through
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| 6. | Is there any valid argument " against " implementing an auto-sign function?
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| 7. | The name is also applied to graphs in which the signs function as colors on the edges.
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| 8. | The sign function is not continuous at zero and therefore the second derivative for x = 0 does not exist.
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| 9. | Using the half-maximum convention at the transition points, the uniform distribution may be expressed in terms of the sign function as:
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| 10. | The sign function \ sgn ( \ sigma ) is defined to count the number of swaps necessary and account for the resulting sign change.
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