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<titleInfo><title>Approximating the minimum cycle mean</title></titleInfo>


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<name type="personal">
  <namePart type="given">Krishnendu</namePart>
  <namePart type="family">Chatterjee</namePart>
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  <namePart type="given">Monika H</namePart>
  <namePart type="family">Henzinger</namePart>
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<name type="personal">
  <namePart type="given">Sebastian</namePart>
  <namePart type="family">Krinninger</namePart>
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<name type="personal">
  <namePart type="given">Veronika</namePart>
  <namePart type="family">Loitzenbauer</namePart>
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  <namePart type="given">Michael</namePart>
  <namePart type="family">Raskin</namePart>
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  <namePart>Modern Graph Algorithmic Techniques in Formal Verification</namePart>
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  <namePart>Game Theory</namePart>
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  <namePart>Quantitative Graph Games: Theory and Applications</namePart>
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  <namePart>Microsoft Research Faculty Fellowship</namePart>
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<abstract lang="eng">We consider directed graphs where each edge is labeled with an integer weight and study the fundamental algorithmic question of computing the value of a cycle with minimum mean weight. Our contributions are twofold: (1) First we show that the algorithmic question is reducible to the problem of a logarithmic number of min-plus matrix multiplications of n×n-matrices, where n is the number of vertices of the graph. (2) Second, when the weights are nonnegative, we present the first (1+ε)-approximation algorithm for the problem and the running time of our algorithm is Õ(nωlog3(nW/ε)/ε),1 where O(nω) is the time required for the classic n×n-matrix multiplication and W is the maximum value of the weights. With an additional O(log(nW/ε)) factor in space a cycle with approximately optimal weight can be computed within the same time bound.</abstract>

<originInfo><publisher>Elsevier</publisher><dateIssued encoding="w3cdtf">2014</dateIssued>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>Theoretical Computer Science</title></titleInfo>
  <identifier type="arXiv">1307.4473</identifier>
  <identifier type="ISI">000340694000008</identifier><identifier type="doi">10.1016/j.tcs.2014.06.031</identifier>
<part><detail type="volume"><number>547</number></detail><detail type="issue"><number>C</number></detail><extent unit="pages">104 - 116</extent>
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<ieee>K. Chatterjee, M. Henzinger, S. Krinninger, V. Loitzenbauer, and M. Raskin, “Approximating the minimum cycle mean,” &lt;i&gt;Theoretical Computer Science&lt;/i&gt;, vol. 547, no. C. Elsevier, pp. 104–116, 2014.</ieee>
<ama>Chatterjee K, Henzinger M, Krinninger S, Loitzenbauer V, Raskin M. Approximating the minimum cycle mean. &lt;i&gt;Theoretical Computer Science&lt;/i&gt;. 2014;547(C):104-116. doi:&lt;a href=&quot;https://doi.org/10.1016/j.tcs.2014.06.031&quot;&gt;10.1016/j.tcs.2014.06.031&lt;/a&gt;</ama>
<ista>Chatterjee K, Henzinger M, Krinninger S, Loitzenbauer V, Raskin M. 2014. Approximating the minimum cycle mean. Theoretical Computer Science. 547(C), 104–116.</ista>
<short>K. Chatterjee, M. Henzinger, S. Krinninger, V. Loitzenbauer, M. Raskin, Theoretical Computer Science 547 (2014) 104–116.</short>
<chicago>Chatterjee, Krishnendu, Monika Henzinger, Sebastian Krinninger, Veronika Loitzenbauer, and Michael Raskin. “Approximating the Minimum Cycle Mean.” &lt;i&gt;Theoretical Computer Science&lt;/i&gt;. Elsevier, 2014. &lt;a href=&quot;https://doi.org/10.1016/j.tcs.2014.06.031&quot;&gt;https://doi.org/10.1016/j.tcs.2014.06.031&lt;/a&gt;.</chicago>
<mla>Chatterjee, Krishnendu, et al. “Approximating the Minimum Cycle Mean.” &lt;i&gt;Theoretical Computer Science&lt;/i&gt;, vol. 547, no. C, Elsevier, 2014, pp. 104–16, doi:&lt;a href=&quot;https://doi.org/10.1016/j.tcs.2014.06.031&quot;&gt;10.1016/j.tcs.2014.06.031&lt;/a&gt;.</mla>
<apa>Chatterjee, K., Henzinger, M., Krinninger, S., Loitzenbauer, V., &amp;#38; Raskin, M. (2014). Approximating the minimum cycle mean. &lt;i&gt;Theoretical Computer Science&lt;/i&gt;. Elsevier. &lt;a href=&quot;https://doi.org/10.1016/j.tcs.2014.06.031&quot;&gt;https://doi.org/10.1016/j.tcs.2014.06.031&lt;/a&gt;</apa>
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