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Let $A in mathbb{Z}^{m times n}$ be an integral matrix and $a$, $b$, $c in mathbb{Z}$ satisfy $a geq b geq c geq 0$. The question is to recognize whether $A$ is ${a,b,c}$-modular, i.e., whether the set of $n times n$ subdeterminants of $A$ in absolute value is ${a,b,c}$. We will succeed in solving this problem in polynomial time unless $A$ possesses a duplicative relation, that is, $A$ has nonzero $n times n$ subdeterminants $k_1$ and $k_2$ satisfying $2 cdot |k_1| = |k_2|$. This is an extension of the well-known recognition algorithm for totally unimodular matrices. As a consequence of our analysis, we present a polynomial time algorithm to solve integer programs in standard form over ${a,b,c}$-modular constraint matrices for any constants $a$, $b$ and $c$.
This is a set of lecture notes suitable for a Masters course on quantum computation and information from the perspective of theoretical computer science. The first version was written in 2011, with many extensions and improvements in subsequent years
We study the problem of maximizing the geometric mean of $d$ low-degree non-negative forms on the real or complex sphere in $n$ variables. We show that this highly non-convex problem is NP-hard even when the forms are quadratic and is equivalent to o
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