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Pseudo-Boolean function : ウィキペディア英語版
Pseudo-Boolean function
In mathematics and optimization, a pseudo-Boolean function is a function of the form
:f:\mathbf^n \rightarrow \mathbb,
where B =  is a ''Boolean domain'' and ''n'' is a nonnegative integer called the arity of the function. Any pseudo-Boolean function can be written uniquely as a multi-linear polynomial:
:f(\boldsymbol) = a + \sum_i a_ix_i + \sum_a_x_ix_j + \sum_a_x_ix_jx_k + \ldots
An important class of pseudo-Boolean functions are the submodular functions, because polynomial-time algorithms exists for minimizing them. The degree of the pseudo-Boolean function is simply the degree of the polynomial.
In many settings (e.g., in Fourier analysis of pseudo-Boolean functions), a pseudo-Boolean function is viewed as a function f that maps \^n to \mathbb. Again in this case we can uniquely write f as a multi-linear polynomial:
f(x)= \sum_\hat(I)\prod_x_i, where \hat(I) are Fourier coefficients of f and ()=\. For a nice and simple introduction to Fourier analysis of pseudo-Boolean functions, see.〔O'Donnell, 2008〕
==Optimization==
Minimizing (or, equivalently, maximizing) a pseudo-Boolean function is NP-hard. This can easily be seen by formulating, for example, the maximum cut problem as maximizing a pseudo-Boolean function.

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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