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  2. List of mathematical series - Wikipedia

    en.wikipedia.org/wiki/List_of_mathematical_series

    This list of mathematical series contains formulae for finite and infinite sums. It can be used in conjunction with other tools for evaluating sums. Here, is taken to have the value {} denotes the fractional part of () is a Bernoulli polynomial.

  3. Lazy evaluation - Wikipedia

    en.wikipedia.org/wiki/Lazy_evaluation

    However, certain calculations may result in the program attempting to evaluate an infinite number of elements; for example, requesting the length of the list or trying to sum the elements of the list with a fold operation would result in the program either failing to terminate or running out of memory.

  4. Ramanujan summation - Wikipedia

    en.wikipedia.org/wiki/Ramanujan_summation

    Ramanujan summation is a technique invented by the mathematician Srinivasa Ramanujan for assigning a value to divergent infinite series.Although the Ramanujan summation of a divergent series is not a sum in the traditional sense, it has properties that make it mathematically useful in the study of divergent infinite series, for which conventional summation is undefined.

  5. Basel problem - Wikipedia

    en.wikipedia.org/wiki/Basel_problem

    The Basel problem is a problem in mathematical analysis with relevance to number theory, concerning an infinite sum of inverse squares.It was first posed by Pietro Mengoli in 1650 and solved by Leonhard Euler in 1734, [1] and read on 5 December 1735 in The Saint Petersburg Academy of Sciences. [2]

  6. Digamma function - Wikipedia

    en.wikipedia.org/wiki/Digamma_function

    The above identity can be used to evaluate sums of the form = = = (), where p(n) and q(n) are polynomials of n. Performing partial fraction on u n in the complex field, in the case when all roots of q(n) are simple roots,

  7. Kahan summation algorithm - Wikipedia

    en.wikipedia.org/wiki/Kahan_summation_algorithm

    for i = 1 to input.length do var t = sum + input[i] if |sum| >= |input[i]| then c += (sum - t) + input[i] // If sum is bigger, low-order digits of input[i] are lost. else c += (input[i] - t) + sum // Else low-order digits of sum are lost. endif sum = t next i return sum + c // Correction only applied once in the very end.

  8. Euler's continued fraction formula - Wikipedia

    en.wikipedia.org/wiki/Euler's_continued_fraction...

    Euler derived the formula as connecting a finite sum of products with a finite continued fraction. (+ (+ (+))) = + + + + = + + + +The identity is easily established by induction on n, and is therefore applicable in the limit: if the expression on the left is extended to represent a convergent infinite series, the expression on the right can also be extended to represent a convergent infinite ...

  9. Monotone convergence theorem - Wikipedia

    en.wikipedia.org/wiki/Monotone_convergence_theorem

    In particular, infinite sums of non-negative numbers converge to the supremum of the partial sums if and only if the partial sums are bounded. For sums of non-negative increasing sequences 0 ≤ a i , 1 ≤ a i , 2 ≤ ⋯ {\displaystyle 0\leq a_{i,1}\leq a_{i,2}\leq \cdots } , it says that taking the sum and the supremum can be interchanged.