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  2. Littlewood's rule - Wikipedia

    en.wikipedia.org/wiki/Littlewood's_rule

    If the capacity left is less than this limit demand for class 2 is rejected. If a continuous distribution F j ( x ) {\displaystyle F_{j}(x)} is used to model the demand, then y 1 ⋆ {\displaystyle y_{1}^{\star }} can be calculated using what is called Littlewood’s rule :

  3. List of limits - Wikipedia

    en.wikipedia.org/wiki/List_of_limits

    In general, any infinite series is the limit of its partial sums. For example, an analytic function is the limit of its Taylor series, within its radius of convergence. = =. This is known as the harmonic series. [6]

  4. Rule of twelfths - Wikipedia

    en.wikipedia.org/wiki/Rule_of_twelfths

    The rule states that over the first period the quantity increases by 1/12. Then in the second period by 2/12, in the third by 3/12, in the fourth by 3/12, fifth by 2/12 and at the end of the sixth period reaches its maximum with an increase of 1/12. The steps are 1:2:3:3:2:1 giving a total change of 12/12.

  5. Little's law - Wikipedia

    en.wikipedia.org/wiki/Little's_law

    In mathematical queueing theory, Little's law (also result, theorem, lemma, or formula [1] [2]) is a theorem by John Little which states that the long-term average number L of customers in a stationary system is equal to the long-term average effective arrival rate λ multiplied by the average time W that a customer spends in the system.

  6. Interchange of limiting operations - Wikipedia

    en.wikipedia.org/wiki/Interchange_of_limiting...

    Examples abound, one of the simplest being that for a double sequence a m,n: it is not necessarily the case that the operations of taking the limits as m → ∞ and as n → ∞ can be freely interchanged. [4] For example take a m,n = 2 m − n. in which taking the limit first with respect to n gives 0, and with respect to m gives ∞.

  7. Utility maximization problem - Wikipedia

    en.wikipedia.org/wiki/Utility_maximization_problem

    In practice, a consumer may not always pick an optimal bundle. For example, it may require too much thought or too much time. Bounded rationality is a theory that explains this behaviour. Examples of alternatives to utility maximisation due to bounded rationality are; satisficing, elimination by aspects and the mental accounting heuristic.

  8. Johnson's rule - Wikipedia

    en.wikipedia.org/wiki/Johnson's_rule

    In operations research, Johnson's rule is a method of scheduling jobs in two work centers. Its primary objective is to find an optimal sequence of jobs to reduce makespan (the total amount of time it takes to complete all jobs). It also reduces the amount of idle time between the two work centers. The method minimizes the makespan in the case ...

  9. Isoelastic utility - Wikipedia

    en.wikipedia.org/wiki/Isoelastic_utility

    Isoelastic utility for different values of . When > the curve approaches the horizontal axis asymptotically from below with no lower bound.. In economics, the isoelastic function for utility, also known as the isoelastic utility function, or power utility function, is used to express utility in terms of consumption or some other economic variable that a decision-maker is concerned with.