The MVB conjecture on asymptotically optimal branching variables

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

t(G)={1ifG0,1+min1in(t(Gli)+t(Gri))ifG>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=argminjφji=\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=min1inφi\varphi=\min_{1\leq i\leq n}\varphi_i. It is false in general, as shown in this paper.

Sources & referencesView supporting material

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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