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  2. Monotonic function - Wikipedia

    en.wikipedia.org/wiki/Monotonic_function

    A function that is not monotonic. In mathematics, a monotonic function (or monotone function) is a function between ordered sets that preserves or reverses the given order. [ 1 ][ 2 ][ 3 ] This concept first arose in calculus, and was later generalized to the more abstract setting of order theory.

  3. Consistent heuristic - Wikipedia

    en.wikipedia.org/wiki/Consistent_heuristic

    Consistent heuristic. In the study of path-finding problems in artificial intelligence, a heuristic function is said to be consistent, or monotone, if its estimate is always less than or equal to the estimated distance from any neighbouring vertex to the goal, plus the cost of reaching that neighbour. Formally, for every node N and each ...

  4. Discontinuities of monotone functions - Wikipedia

    en.wikipedia.org/wiki/Discontinuities_of...

    Discontinuities of monotone functions. In the mathematical field of analysis, a well-known theorem describes the set of discontinuities of a monotone real-valued function of a real variable; all discontinuities of such a (monotone) function are necessarily jump discontinuities and there are at most countably many of them.

  5. Monotone convergence theorem - Wikipedia

    en.wikipedia.org/wiki/Monotone_convergence_theorem

    In the mathematical field of real analysis, the monotone convergence theorem is any of a number of related theorems proving the good convergence behaviour of monotonic sequences, i.e. sequences that are non- increasing, or non- decreasing. In its simplest form, it says that a non-decreasing bounded -above sequence of real numbers converges to ...

  6. Cyclical monotonicity - Wikipedia

    en.wikipedia.org/wiki/Cyclical_monotonicity

    Gradients of convex functions are cyclically monotone. In fact, the converse is true. [ 4 ] Suppose U {\displaystyle U} is convex and f : U ⇉ R n {\displaystyle f:U\rightrightarrows \mathbb {R} ^{n}} is a correspondence with nonempty values.

  7. Probability density function - Wikipedia

    en.wikipedia.org/wiki/Probability_density_function

    A probability density function is most commonly associated with absolutely continuous univariate distributions. A random variable has density , where is a non-negative Lebesgue-integrable function, if: Hence, if is the cumulative distribution function of , then: and (if is continuous at )

  8. Quantile function - Wikipedia

    en.wikipedia.org/wiki/Quantile_function

    Quantile functions are used in both statistical applications and Monte Carlo methods. The quantile function is one way of prescribing a probability distribution, and it is an alternative to the probability density function (pdf) or probability mass function, the cumulative distribution function (cdf) and the characteristic function.

  9. Thomae's function - Wikipedia

    en.wikipedia.org/wiki/Thomae's_function

    Thomae's function. Point plot on the interval (0,1). The topmost point in the middle shows f (1/2) = 1/2. Thomae's function is a real -valued function of a real variable that can be defined as: [1]: 531. It is named after Carl Johannes Thomae, but has many other names: the popcorn function, the raindrop function, the countable cloud function ...