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        <datestamp>2026-08-21T14:42:37Z</datestamp>
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          <dc:title>Some Recent Developments in Space Complexity (Invited Talk)</dc:title>
          <dc:creator>Williams, R. Ryan</dc:creator>
          <dc:subject>time lower bound</dc:subject>
          <dc:subject>space complexity</dc:subject>
          <dc:subject>multitape Turing machine</dc:subject>
          <dc:subject>P versus PSPACE</dc:subject>
          <dc:subject>tree evaluation problem</dc:subject>
          <dc:description>Given a function, what is the minimal memory necessary to compute it? We will describe some old [John E. Hopcroft et al., 1977; Wolfgang J. Paul and Rüdiger Reischuk, 1981; Joseph Y. Halpern et al., 1986] and new algorithmic developments that give surprisingly low-space solutions to this question in many cases. We will survey the recent proof [Ryan Williams, 2026] that TIME[t] is contained in SPACE[√{t log t}] for the multitape Turing machine model, and the engine that makes the proof possible: the amazing Cook-Mertz algorithm [James Cook and Ian Mertz, 2024] for a problem called Tree Evaluation [Stephen A. Cook et al., 2012]. We will also briefly outline some new developments and generalizations that we've recently proved, pushing the low-space frontier beyond multitape Turing machines. The latter is joint work with Danil Sibgatullin (to appear).</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>R. Ryan Williams</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 386, 51st International Symposium on Mathematical Foundations of Computer Science (MFCS 2026)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.MFCS.2026.3</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-273845</dc:identifier>
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          <dc:language>eng</dc:language>
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