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  2. Surjective function - Wikipedia

    en.wikipedia.org/wiki/Surjective_function

    A function f : X → Y is surjective if and only if it is right-cancellative: [8] given any functions g,h : Y → Z, whenever g o f = h o f, then g = h. This property is formulated in terms of functions and their composition and can be generalized to the more general notion of the morphisms of a category and their composition.

  3. List of mathematical functions - Wikipedia

    en.wikipedia.org/wiki/List_of_mathematical_functions

    Sigma function: Sums of powers of divisors of a given natural number. Euler's totient function: Number of numbers coprime to (and not bigger than) a given one. Prime-counting function: Number of primes less than or equal to a given number. Partition function: Order-independent count of ways to write a given positive integer as a sum of positive ...

  4. Range of a function - Wikipedia

    en.wikipedia.org/wiki/Range_of_a_function

    For some functions, the image and the codomain coincide; these functions are called surjective or onto. For example, consider the function () =, which inputs a real number and outputs its double. For this function, both the codomain and the image are the set of all real numbers, so the word range is unambiguous.

  5. Horizontal line test - Wikipedia

    en.wikipedia.org/wiki/Horizontal_line_test

    Given a function : (i.e. from the real numbers to the real numbers), we can decide if it is injective by looking at horizontal lines that intersect the function's graph. If any horizontal line y = c {\displaystyle y=c} intersects the graph in more than one point, the function is not injective.

  6. Iterated function - Wikipedia

    en.wikipedia.org/wiki/Iterated_function

    If a function is bijective (and so possesses an inverse function), then negative iterates correspond to function inverses and their compositions. For example, f −1 ( x ) is the normal inverse of f , while f −2 ( x ) is the inverse composed with itself, i.e. f −2 ( x ) = f −1 ( f −1 ( x )) .

  7. Cubic function - Wikipedia

    en.wikipedia.org/wiki/Cubic_function

    The critical points of a cubic function are its stationary points, that is the points where the slope of the function is zero. [2] Thus the critical points of a cubic function f defined by f(x) = ax 3 + bx 2 + cx + d, occur at values of x such that the derivative + + = of the cubic function is zero.

  8. Fixed-point computation - Wikipedia

    en.wikipedia.org/wiki/Fixed-point_computation

    Fixed-point computation refers to the process of computing an exact or approximate fixed point of a given function. [1] In its most common form, the given function f {\displaystyle f} satisfies the condition to the Brouwer fixed-point theorem : that is, f {\displaystyle f} is continuous and maps the unit d -cube to itself.

  9. Vertical line test - Wikipedia

    en.wikipedia.org/wiki/Vertical_line_test

    A function can only have one output, y, for each unique input, x. If a vertical line intersects a curve on an xy-plane more than once then for one value of x the curve has more than one value of y, and so, the curve does not represent a function. If all vertical lines intersect a curve at most once then the curve represents a function. [1]