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  2. Independent set (graph theory) - Wikipedia

    en.wikipedia.org/wiki/Independent_set_(graph_theory)

    For many classes of graphs, a maximum weight independent set may be found in polynomial time. Famous examples are claw-free graphs, [11] P 5-free graphs [12] and perfect graphs. [13] For chordal graphs, a maximum weight independent set can be found in linear time. [14]

  3. Cauchy distribution - Wikipedia

    en.wikipedia.org/wiki/Cauchy_distribution

    The Cauchy distribution does not have finite moments of order greater than or equal to one; only fractional absolute moments exist. [1] The Cauchy distribution has no moment generating function . In mathematics , it is closely related to the Poisson kernel , which is the fundamental solution for the Laplace equation in the upper half-plane .

  4. Classification of discontinuities - Wikipedia

    en.wikipedia.org/wiki/Classification_of...

    In this case, a single limit does not exist because the one-sided limits, and + exist and are finite, but are not equal: since, +, the limit does not exist. Then, x 0 {\displaystyle x_{0}} is called a jump discontinuity , step discontinuity , or discontinuity of the first kind .

  5. Limit of a function - Wikipedia

    en.wikipedia.org/wiki/Limit_of_a_function

    The first three functions have points for which the limit does not exist, while the function = ⁡ is not defined at =, but its limit does exist. respectively. If these limits exist at p and are equal there, then this can be referred to as the limit of f(x) at p. [7] If the one-sided limits exist at p, but are unequal, then there is no limit at ...

  6. Limit comparison test - Wikipedia

    en.wikipedia.org/wiki/Limit_comparison_test

    In mathematics, the limit comparison test (LCT) (in contrast with the related direct comparison test) is a method of testing for the convergence of an infinite series. Statement [ edit ]

  7. Limit of distributions - Wikipedia

    en.wikipedia.org/wiki/Limit_of_distributions

    Given a sequence of distributions , its limit is the distribution given by [] = []for each test function , provided that distribution exists.The existence of the limit means that (1) for each , the limit of the sequence of numbers [] exists and that (2) the linear functional defined by the above formula is continuous with respect to the topology on the space of test functions.

  8. nth-term test - Wikipedia

    en.wikipedia.org/wiki/Nth-term_test

    In mathematics, the nth-term test for divergence [1] is a simple test for the divergence of an infinite series: If lim n → ∞ a n ≠ 0 {\displaystyle \lim _{n\to \infty }a_{n}\neq 0} or if the limit does not exist, then ∑ n = 1 ∞ a n {\displaystyle \sum _{n=1}^{\infty }a_{n}} diverges.

  9. Expected value - Wikipedia

    en.wikipedia.org/wiki/Expected_value

    The limit of this expression as a → −∞ and b → ∞ does not exist: if the limits are taken so that a = −b, then the limit is zero, while if the constraint 2a = −b is taken, then the limit is ln(2).