This paper settles the computational complexity of the problem of integrating a polynomial function f over a rational simplex. We prove that the problem is NP-hard for arbitrary poly-nomials via a generalization of a theorem of Motzkin and Straus. On the other hand, if the polynomial depends only on a fixed number of variables, while its degree and the dimension of the simplex are allowed to vary, we prove that integration can be done in polynomial time. As a consequence, for polynomials of fixed total degree , there is a polynomial time algorithm as well. We conclude the article with extensions to other polytopes and discussion of other available methods.
CITATION STYLE
Baldoni, V., Berline, N., De Loera, J. A., Köppe, M., & Vergne, M. (2010). How to integrate a polynomial over a simplex. Mathematics of Computation, 80(273), 297–325. https://doi.org/10.1090/s0025-5718-2010-02378-6
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