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Combinatorial optimization typically deals with optimizing over a finite set of objects that have some combinatorial structure (e.g. trees, matchings, matroids). Approximation algorithms, polyhedral methods, and integer programming are all on topic.

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How to turn $\{-1, 0, 1\}$-valued optimization problem into integer program?

For an $n \times n$ matrix $M$, the $\infty\to 1$ and cut norms are given by $$\|M\|_{\infty \to 1} := \max\limits_{x, y \in \{\pm 1\}^n} \sum\limits_{i, j} m_{i, j} x_i y_j, \qquad \|M\|_{\square} : …
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