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2. Ostrowski's theorem - Wikipedia

   en.wikipedia.org/wiki/Ostrowski's_theorem

   In number theory, Ostrowski's theorem, due to Alexander Ostrowski (1916), states that every non-trivial absolute value on the rational numbers is equivalent to either the usual real absolute value or a p-adic absolute value. [1]

3. Absoluteness (logic) - Wikipedia

   en.wikipedia.org/wiki/Absoluteness_(logic)

   In mathematical logic, a formula is said to be absolute to some class of structures (also called models), if it has the same truth value in each of the members of that class. One can also speak of absoluteness of a formula between two structures, if it is absolute to some class which contains both of them.

4. Absolute value - Wikipedia

   en.wikipedia.org/wiki/Absolute_value

   The real absolute value function is an example of a continuous function that achieves a global minimum where the derivative does not exist. The subdifferential of | x | at x = 0 is the interval [−1, 1]. [14] The complex absolute value function is continuous everywhere but complex differentiable nowhere because it violates the Cauchy–Riemann ...

5. Absolute value (algebra) - Wikipedia

   en.wikipedia.org/wiki/Absolute_value_(algebra)

   The standard absolute value on the integers. The standard absolute value on the complex numbers.; The p-adic absolute value on the rational numbers.; If R is the field of rational functions over a field F and () is a fixed irreducible polynomial over F, then the following defines an absolute value on R: for () in R define | | to be , where () = () and ((), ()) = = ((), ()).

6. Absolute difference - Wikipedia

   en.wikipedia.org/wiki/Absolute_difference

   The absolute difference of two real numbers and is given by | |, the absolute value of their difference. It describes the distance on the real line between the points corresponding to x {\displaystyle x} and y {\displaystyle y} .

7. Least absolute deviations - Wikipedia

   en.wikipedia.org/wiki/Least_absolute_deviations

   Least absolute deviations (LAD), also known as least absolute errors (LAE), least absolute residuals (LAR), or least absolute values (LAV), is a statistical optimality criterion and a statistical optimization technique based on minimizing the sum of absolute deviations (also sum of absolute residuals or sum of absolute errors) or the L 1 norm of such values.