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Program."],"published-print":{"date-parts":[[2021,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In convex integer programming, various procedures have been developed to strengthen convex relaxations of sets of integer points. On the one hand, there exist several general-purpose methods that strengthen relaxations without specific knowledge of the set <jats:italic>S<\/jats:italic> of feasible integer points, such as popular linear programming or semi-definite programming hierarchies. On the other hand, various methods have been designed for obtaining strengthened relaxations for very specific sets <jats:italic>S<\/jats:italic> that arise in combinatorial optimization. We propose a new efficient method that interpolates between these two approaches. Our procedure strengthens any convex set containing a set <jats:inline-formula><jats:alternatives><jats:tex-math>$$ S \\subseteq \\{0,1\\}^n $$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                  <mml:mrow>\n                    <mml:mi>S<\/mml:mi>\n                    <mml:mo>\u2286<\/mml:mo>\n                    <mml:msup>\n                      <mml:mrow>\n                        <mml:mo>{<\/mml:mo>\n                        <mml:mn>0<\/mml:mn>\n                        <mml:mo>,<\/mml:mo>\n                        <mml:mn>1<\/mml:mn>\n                        <mml:mo>}<\/mml:mo>\n                      <\/mml:mrow>\n                      <mml:mi>n<\/mml:mi>\n                    <\/mml:msup>\n                  <\/mml:mrow>\n                <\/mml:math><\/jats:alternatives><\/jats:inline-formula> by exploiting certain additional information about <jats:italic>S<\/jats:italic>. Namely, the required extra information will be in the form of a Boolean formula <jats:inline-formula><jats:alternatives><jats:tex-math>$$\\phi $$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                  <mml:mi>\u03d5<\/mml:mi>\n                <\/mml:math><\/jats:alternatives><\/jats:inline-formula> defining the target set <jats:italic>S<\/jats:italic>. The new relaxation is obtained by \u201cfeeding\u201d the convex set into the formula <jats:inline-formula><jats:alternatives><jats:tex-math>$$\\phi $$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                  <mml:mi>\u03d5<\/mml:mi>\n                <\/mml:math><\/jats:alternatives><\/jats:inline-formula>. We analyze various aspects regarding the strength of our procedure. As one application, interpreting an iterated application of our procedure as a hierarchy, our findings simplify, improve, and extend previous results by Bienstock and Zuckerberg on covering problems.<\/jats:p>","DOI":"10.1007\/s10107-020-01542-w","type":"journal-article","created":{"date-parts":[[2020,7,15]],"date-time":"2020-07-15T11:02:29Z","timestamp":1594810949000},"page":"467-482","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Strengthening convex relaxations of 0\/1-sets using Boolean formulas"],"prefix":"10.1007","volume":"190","author":[{"given":"Samuel","family":"Fiorini","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tony","family":"Huynh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Weltge","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,15]]},"reference":[{"key":"1542_CR1","doi-asserted-by":"crossref","unstructured":"Averkov, G., Kaibel, V., Weltge, S.: Maximum semidefinite and linear extension complexity of families of polytopes. 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