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Akra–Bazzi method : ウィキペディア英語版
Akra–Bazzi method

In computer science, the Akra–Bazzi method, or Akra–Bazzi theorem, is used to analyze the asymptotic behavior of the mathematical recurrences that appear in the analysis of divide and conquer algorithms where the sub-problems have substantially different sizes. It is a generalization of the well-known master theorem, which assumes that the sub-problems have equal size.
== The formula ==
The Akra–Bazzi method applies to recurrence formulas of the form
:T(x)=g(x) + \sum_^k a_i T(b_i x + h_i(x))\qquad \textx \geq x_0.
The conditions for usage are:
* sufficient base cases are provided
* a_i and b_i are constants for all i
* a_i > 0 for all i
* 0 < b_i < 1 for all i
* \left|g(x)\right| \in O(x^c), where ''c'' is a constant and ''O'' notates Big O notation
* \left| h_i(x) \right| \in O\left(\frac\right) for all i
* x_0 is a constant
The asymptotic behavior of T(x) is found by determining the value of p for which \sum_^k a_i b_i^p = 1 and plugging that value into the equation
:T(x) \in \Theta \left( x^p\left( 1+\int_1^x \frac n \right) and T(n) = n + T \left(\left\lfloor \frac n \right\rfloor \right) will, as per the Akra–Bazzi theorem, have the same asymptotic behavior.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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