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It is natural to study the aggregation technique as it yields a single bilinear bipartite equality whose convex hull is already understood from previous literature. On the theoretical side, we present sufficient conditions when\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\text {conv} (S)$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mrow>\n                            <mml:mtext>conv<\/mml:mtext>\n                            <mml:mo>(<\/mml:mo>\n                            <mml:mi>S<\/mml:mi>\n                            <mml:mo>)<\/mml:mo>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    can be described by the intersection of convex hulls of a finite number of aggregations, examples when\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\text {conv} (S)$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mrow>\n                            <mml:mtext>conv<\/mml:mtext>\n                            <mml:mo>(<\/mml:mo>\n                            <mml:mi>S<\/mml:mi>\n                            <mml:mo>)<\/mml:mo>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    can only be obtained as the intersection of the convex hull of an infinite number of aggregations, and examples when\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\text {conv} (S)$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mrow>\n                            <mml:mtext>conv<\/mml:mtext>\n                            <mml:mo>(<\/mml:mo>\n                            <mml:mi>S<\/mml:mi>\n                            <mml:mo>)<\/mml:mo>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    cannot be achieved exactly from the process of aggregation. Computationally, we explore different methods to derive aggregation weights in order to obtain tight convex relaxations. We show that even if an exact convex hull may not be achieved using aggregations, including the convex hull of an aggregation often significantly tightens the outer approximation of\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$\\text {conv} (S)$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mrow>\n                            <mml:mtext>conv<\/mml:mtext>\n                            <mml:mo>(<\/mml:mo>\n                            <mml:mi>S<\/mml:mi>\n                            <mml:mo>)<\/mml:mo>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    . Finally, we apply the aggregation method to obtain convex relaxation for the structural model updating problem and show that this yields better bounds within a branch-and-bound tree as compared to not using aggregations.\n                  <\/jats:p>","DOI":"10.1007\/s10898-026-01607-8","type":"journal-article","created":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T02:02:06Z","timestamp":1775872926000},"page":"1099-1135","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Aggregation of bilinear bipartite equality constraints and its application to structural model updating problem"],"prefix":"10.1007","volume":"94","author":[{"given":"Santanu S.","family":"Dey","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5782-6278","authenticated-orcid":false,"given":"Dahye","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,4,11]]},"reference":[{"issue":"5","key":"1607_CR1","doi-asserted-by":"publisher","first-page":"915","DOI":"10.1287\/opre.15.5.915","volume":"15","author":"E Balas","year":"1967","unstructured":"Balas, E.: Discrete programming by the filter method. 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