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2. Codomain - Wikipedia

   en.wikipedia.org/wiki/Codomain

   In mathematics, a codomain or set of destination of a function is a set into which all of the output of the function is constrained to fall. It is the set Y in the notation f: X → Y. The term range is sometimes ambiguously used to refer to either the codomain or the image of a function. A codomain is part of a function f if f is defined as a ...

3. Slab (geometry) - Wikipedia

   en.wikipedia.org/wiki/Slab_(geometry)

   Slab (geometry) In geometry, a slab is a region between two parallel lines in the Euclidean plane, [1] or between two parallel planes in three-dimensional Euclidean space or between two hyperplanes in higher dimensions. [2]

4. Predicate (mathematical logic) - Wikipedia

   en.wikipedia.org/wiki/Predicate_(mathematical_logic)

   A predicate is a statement or mathematical assertion that contains variables, sometimes referred to as predicate variables, and may be true or false depending on those variables’ value or values. In propositional logic, atomic formulas are sometimes regarded as zero-place predicates. [1] In a sense, these are nullary (i.e. 0- arity) predicates.

5. Infinite difference method - Wikipedia

   en.wikipedia.org/wiki/Infinite_difference_method

   Infinite difference method. In mathematics, infinite difference methods are numerical methods for solving differential equations by approximating them with difference equations, in which infinite differences approximate the derivatives. In calculus there are two sections, one is differentiation and the other is integration.

6. American Airline Passengers Save Woman from Alleged Violent ...

   www.aol.com/american-airline-passengers-save...

   A woman was rescued from an alleged physical altercation with a male companion by passengers on a recent American Airlines flight. The incident occurred during a flight from Miami to Charlotte ...

7. Covariance and correlation - Wikipedia

   en.wikipedia.org/wiki/Covariance_and_correlation

   where E is the expected value operator. Notably, correlation is dimensionless while covariance is in units obtained by multiplying the units of the two variables. If Y always takes on the same values as X, we have the covariance of a variable with itself (i.e. ), which is called the variance and is more commonly denoted as the square of the ...