In this paper we propose a unified natural framework for the study of computability and complexity of partition functions and graph polynomials and show how�...

Partition functions and graph polynomials have found many applications in combinatorics, physics, biology and even the mathematics of finance. Study-.

Partition functions and graph polynomials have found many applications in combinatorics, physics, biology and even the mathematics of finance. Study-.

Conference Paper. A Computational Framework for the Study of Partition Functions and Graph Polynomials. Tomer Kotek, Johann A. Makowsky and Elena V. Ravve.

Fields of Logic and Computation, 444-462, 2010. 10, 2010. A computational framework for the study of partition functions and graph polynomials. T Kotek, JA�...

We study semantic equivalence of multivariate graph polynomials ... A Computational Framework for the Study of Partition Functions and Graph Polynomials.

Mar 31, 2016 � Ravve,. A Computational Framework for the Study of Partition Functions and. Graph Polynomials,. Proceedings of the 12th Asian Logic Conference�...

May 12, 2024 � A computational framework for the study of partition functions and graph polynomials. In Proceedings of the 12th Asian Logic. Conference�...

Partition functions and related graph parameters have found many applications in computer science, combinatorics, physics, chemistry, biology and even the�...

In this paper, we investigate the root distribution of the Ehrhart polynomials of lattice polytopes. When the lattice polytope is reflexive, the roots of�...