The MVB conjecture on asymptotically optimal branching variables

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An MVB instance consists of variables (li,ri)1≤i≤n(l_i,r_i)_{1\leq i\leq n}, with recurrence

t(G)={1if⁡G≤0,1+min⁡1≤i≤n(t(G−li)+t(G−ri))if⁡G>0.t(G)=\begin{cases}1&\operatorname{if }G\leq 0,\\1+\min\limits_{1\leq i\leq n}\bigl(t(G-l_i)+t(G-r_i)\bigr)&\operatorname{if }G>0.\end{cases}

Its variable ratios are denoted by φi\varphi_i. The MVB conjecture. For each instance of MVB, there exists a gap HH such that for all gaps greater than HH, variable i=arg⁡ min⁡⁡jφji=\operatorname*{\arg\,\min}_j\varphi_j is always optimal to branch on at the root node. The conjecture was introduced after the result that the MVB ratio is φ=min⁡1≤i≤nφi\varphi=\min_{1\leq i\leq n}\varphi_i. It is false in general, as shown in this paper.

References

Primary source

Daniel Anderson, Pierre Le Bodic and Kerri Morgan, “Further Results on an Abstract Model for Branching and its Application to Mixed-Integer Programming”, arXiv:1909.01472 (2020).

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