A polynomial time algorithm to approximate the mixed volume within a simply exponential factor
<|reference_start|>A polynomial time algorithm to approximate the mixed volume within a simply exponential factor: Let ${\bf K} = (K_1, ..., K_n)$ be an $n$-tuple of convex compact subsets in the Euclidean space $\R^n$, and let $V(\cdot)$ be the Euclidean volume in $\R^n$. The Minkowski polynomial $V_{{\bf K}}$ is defined as $V_{{\bf K}}(\lambda_1, ... ,\lambda_n) = V(\lambda_1 K_1 +, ..., + \lambda_n K_n)$ and the mixed volume $V(K_1, ..., K_n)$ as $$ V(K_1, ..., K_n) = \frac{\partial^n}{\partial \lambda_1...\partial \lambda_n} V_{{\bf K}}(\lambda_1 K_1 +, ..., + \lambda_n K_n). $$ Our main result is a poly-time algorithm which approximates $V(K_1, ..., K_n)$ with multiplicative error $e^n$ and with better rates if the affine dimensions of most of the sets $K_i$ are small. Our approach is based on a particular approximation of $\log(V(K_1, ..., K_n))$ by a solution of some convex minimization problem. We prove the mixed volume analogues of the Van der Waerden and Schrijver-Valiant conjectures on the permanent. These results, interesting on their own, allow us to justify the abovementioned approximation by a convex minimization, which is solved using the ellipsoid method and a randomized poly-time time algorithm for the approximation of the volume of a convex set.<|reference_end|>
@article{gurvits2007a,
    title={A polynomial time algorithm to approximate the mixed volume within a
  simply exponential factor},
    author={Leonid Gurvits},
    journal={arXiv preprint arXiv:cs/0702013},
    year={2007},
    archivePrefix={arXiv},
    eprint={cs/0702013},
    primaryClass={cs.CG cs.CC math.CO}
}