Guillaume Fertin , Oscar Fontaine , Géraldine Jean , Stéphane Vialette
{"title":"The Maximum Zero-Sum Partition problem","authors":"Guillaume Fertin , Oscar Fontaine , Géraldine Jean , Stéphane Vialette","doi":"10.1016/j.tcs.2024.114811","DOIUrl":null,"url":null,"abstract":"<div><p>We study the <span>Maximum Zero-Sum Partition</span> problem (or <span>MZSP</span>), defined as follows: given a multiset <span><math><mi>S</mi><mo>=</mo><mo>{</mo><msub><mrow><mi>a</mi></mrow><mrow><mn>1</mn></mrow></msub><mo>,</mo><msub><mrow><mi>a</mi></mrow><mrow><mn>2</mn></mrow></msub><mo>,</mo><mo>…</mo><mo>,</mo><msub><mrow><mi>a</mi></mrow><mrow><mi>n</mi></mrow></msub><mo>}</mo></math></span> of integers <span><math><msub><mrow><mi>a</mi></mrow><mrow><mi>i</mi></mrow></msub><mo>∈</mo><msup><mrow><mi>Z</mi></mrow><mrow><mo>⁎</mo></mrow></msup></math></span> (where <span><math><msup><mrow><mi>Z</mi></mrow><mrow><mo>⁎</mo></mrow></msup></math></span> denotes the set of non-zero integers) such that <span><math><msubsup><mrow><mo>∑</mo></mrow><mrow><mi>i</mi><mo>=</mo><mn>1</mn></mrow><mrow><mi>n</mi></mrow></msubsup><msub><mrow><mi>a</mi></mrow><mrow><mi>i</mi></mrow></msub><mo>=</mo><mn>0</mn></math></span>, find a maximum cardinality partition <span><math><mo>{</mo><msub><mrow><mi>S</mi></mrow><mrow><mn>1</mn></mrow></msub><mo>,</mo><msub><mrow><mi>S</mi></mrow><mrow><mn>2</mn></mrow></msub><mo>,</mo><mo>…</mo><mo>,</mo><msub><mrow><mi>S</mi></mrow><mrow><mi>k</mi></mrow></msub><mo>}</mo></math></span> of <span><math><mi>S</mi></math></span> such that, for every <span><math><mn>1</mn><mo>≤</mo><mi>i</mi><mo>≤</mo><mi>k</mi></math></span>, <span><math><msub><mrow><mo>∑</mo></mrow><mrow><msub><mrow><mi>a</mi></mrow><mrow><mi>j</mi></mrow></msub><mo>∈</mo><msub><mrow><mi>S</mi></mrow><mrow><mi>i</mi></mrow></msub></mrow></msub><msub><mrow><mi>a</mi></mrow><mrow><mi>j</mi></mrow></msub><mo>=</mo><mn>0</mn></math></span>. Solving <span>MZSP</span> is useful in genomics for computing evolutionary distances between pairs of species. Our contributions are a series of algorithmic results concerning <span>MZSP</span>, in terms of complexity, (in)approximability, with a particular focus on the fixed-parameter tractability of <span>MZSP</span> with respect to either (i) the size <em>k</em> of the solution, (ii) the number of negative (resp. positive) values in <span><math><mi>S</mi></math></span> and (iii) the largest integer in <span><math><mi>S</mi></math></span>.</p></div>","PeriodicalId":49438,"journal":{"name":"Theoretical Computer Science","volume":"1019 ","pages":"Article 114811"},"PeriodicalIF":0.9000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0304397524004286/pdfft?md5=834de52b293d98cccaa7d3d01b33ccb6&pid=1-s2.0-S0304397524004286-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theoretical Computer Science","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304397524004286","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
We study the Maximum Zero-Sum Partition problem (or MZSP), defined as follows: given a multiset of integers (where denotes the set of non-zero integers) such that , find a maximum cardinality partition of such that, for every , . Solving MZSP is useful in genomics for computing evolutionary distances between pairs of species. Our contributions are a series of algorithmic results concerning MZSP, in terms of complexity, (in)approximability, with a particular focus on the fixed-parameter tractability of MZSP with respect to either (i) the size k of the solution, (ii) the number of negative (resp. positive) values in and (iii) the largest integer in .
期刊介绍:
Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.