5 Search Results for "Gasarch, William"


Document
Exact Lower Bounds for the Number of Comparisons in Selection

Authors: Josua Dörrer, Konrad Gendle, Johanna Betz, Julius von Smercek, Andreas Steding, and Florian Stober

Published in: LIPIcs, Volume 338, 23rd International Symposium on Experimental Algorithms (SEA 2025)


Abstract
Selection is the problem of finding the i-th smallest element among n elements. We apply computer search to find optimal algorithms for small instances of the selection problem. Using new algorithmic ideas, we establish tighter lower bounds for the number of comparisons required, denoted as V_i(n). Our results include optimal algorithms for n up to 15 and arbitrary i, and for n = 16 when i ≤ 6. We determine the precise values V₇(14) = 25, V₆(15) = V₇(15) = 26, and V₈(15) = 27, where previously, only a range was known.

Cite as

Josua Dörrer, Konrad Gendle, Johanna Betz, Julius von Smercek, Andreas Steding, and Florian Stober. Exact Lower Bounds for the Number of Comparisons in Selection. In 23rd International Symposium on Experimental Algorithms (SEA 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 338, pp. 16:1-16:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)


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@InProceedings{dorrer_et_al:LIPIcs.SEA.2025.16,
  author =	{D\"{o}rrer, Josua and Gendle, Konrad and Betz, Johanna and von Smercek, Julius and Steding, Andreas and Stober, Florian},
  title =	{{Exact Lower Bounds for the Number of Comparisons in Selection}},
  booktitle =	{23rd International Symposium on Experimental Algorithms (SEA 2025)},
  pages =	{16:1--16:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-375-1},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{338},
  editor =	{Mutzel, Petra and Prezza, Nicola},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SEA.2025.16},
  URN =		{urn:nbn:de:0030-drops-232547},
  doi =		{10.4230/LIPIcs.SEA.2025.16},
  annote =	{Keywords: selection, lower bounds, exhaustive computer search}
}
Document
Oblivious Complexity Classes Revisited: Lower Bounds and Hierarchies

Authors: Karthik Gajulapalli, Zeyong Li, and Ilya Volkovich

Published in: LIPIcs, Volume 323, 44th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2024)


Abstract
In this work we study oblivious complexity classes. These classes capture the power of interactive proofs where the prover(s) are only given the input size rather than the actual input. In particular, we study the connections between the symmetric polynomial time - S₂P and its oblivious counterpart - O₂P. Among our results: - For each k ∈ ℕ, we construct an explicit language L_k ∈ O₂P that cannot be computed by circuits of size n^k. - We prove a hierarchy theorem for O₂TIME. In particular, for any time constructible function t:ℕ → ℕ and any ε > 0 we show that: O₂TIME[t(n)] ⊊ O₂TIME[t(n)^{1 + ε}]. - We prove new structural results connecting O₂P and S₂P. - We make partial progress towards the resolution of an open question posed by Goldreich and Meir (TOCT 2015) that relates the complexity of NP to its oblivious counterpart - ONP. - We identify a natural class of problems in O₂P from computational Ramsey theory, that are not expected to be in 𝖯 or even BPP. To the best of our knowledge, these results constitute the first explicit fixed-polynomial lower bound and hierarchy theorem for O₂P. The smallest uniform complexity class for which such lower bounds were previously known was S₂P due to Cai (JCSS 2007). In addition, this is the first uniform hierarchy theorem for a semantic class. All previous results required some non-uniformity. In order to obtain some of the results in the paper, we introduce the notion of uniformly-sparse extensions which could be of independent interest. Our techniques build upon the de-randomization framework of the powerful Range Avoidance problem that has yielded many new interesting explicit circuit lower bounds.

Cite as

Karthik Gajulapalli, Zeyong Li, and Ilya Volkovich. Oblivious Complexity Classes Revisited: Lower Bounds and Hierarchies. In 44th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 323, pp. 23:1-23:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


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@InProceedings{gajulapalli_et_al:LIPIcs.FSTTCS.2024.23,
  author =	{Gajulapalli, Karthik and Li, Zeyong and Volkovich, Ilya},
  title =	{{Oblivious Complexity Classes Revisited: Lower Bounds and Hierarchies}},
  booktitle =	{44th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2024)},
  pages =	{23:1--23:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-355-3},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{323},
  editor =	{Barman, Siddharth and Lasota, S{\l}awomir},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2024.23},
  URN =		{urn:nbn:de:0030-drops-222122},
  doi =		{10.4230/LIPIcs.FSTTCS.2024.23},
  annote =	{Keywords: fixed circuit lower bounds, semantic time hierarchy, oblivious complexity, range avoidance}
}
Document
A Muffin-Theorem Generator

Authors: Guangqi Cui, John Dickerson, Naveen Durvasula, William Gasarch, Erik Metz, Jacob Prinz, Naveen Raman, Daniel Smolyak, and Sung Hyun Yoo

Published in: LIPIcs, Volume 100, 9th International Conference on Fun with Algorithms (FUN 2018)


Abstract
Consider the following FUN problem. Given m,s you want to divide m muffins among s students so that everyone gets m/(s) muffins; however, you want to maximize the minimum piece so that nobody gets crumbs. Let f(m,s) be the size of the smallest piece in an optimal procedure. We study the case where ceil(2m/s)=3 because (1) many of our hardest open problems were of this form until we found this method, (2) we have used the technique to generate muffin-theorems, and (3) we conjecture this can be used to solve the general case. We give (1) an algorithm to find an upper bound for f(m,s) when ceil(2m/s)(and some ways to speed up that algorithm if certain conjectures are true), (2) an algorithm that uses the information from (1) to try to find a lower bound on f(m,s) (a procedure) which matches the upper bound, (3) an algorithm that uses the information from (1) to generate muffin-theorems, and (4) an algorithm that we think works well in practice to find f(m,s) for any m,s.

Cite as

Guangqi Cui, John Dickerson, Naveen Durvasula, William Gasarch, Erik Metz, Jacob Prinz, Naveen Raman, Daniel Smolyak, and Sung Hyun Yoo. A Muffin-Theorem Generator. In 9th International Conference on Fun with Algorithms (FUN 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 100, pp. 15:1-15:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)


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@InProceedings{cui_et_al:LIPIcs.FUN.2018.15,
  author =	{Cui, Guangqi and Dickerson, John and Durvasula, Naveen and Gasarch, William and Metz, Erik and Prinz, Jacob and Raman, Naveen and Smolyak, Daniel and Yoo, Sung Hyun},
  title =	{{A Muffin-Theorem Generator}},
  booktitle =	{9th International Conference on Fun with Algorithms (FUN 2018)},
  pages =	{15:1--15:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-067-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{100},
  editor =	{Ito, Hiro and Leonardi, Stefano and Pagli, Linda and Prencipe, Giuseppe},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FUN.2018.15},
  URN =		{urn:nbn:de:0030-drops-88062},
  doi =		{10.4230/LIPIcs.FUN.2018.15},
  annote =	{Keywords: Fair Division, Theorem Generation}
}
Document
Finding Isolated Cliques by Queries – An Approach to Fault Diagnosis with Many Faults

Authors: William Gasarch and Frank Stephan

Published in: Dagstuhl Seminar Proceedings, Volume 4421, Algebraic Methods in Computational Complexity (2005)


Abstract
A well-studied problem in fault diagnosis is to identify the set of all good processors in a given set $\{p_1,p_2,\ldots,p_n\}$ of processors via asking some processors $p_i$ to test whether processor $p_j$ is good or faulty. Mathematically, the set $C$ of the indices of good processors forms an isolated clique in the graph with the edges $E = \{(i,j):$ if you ask $p_i$ to test $p_j$ then $p_i$ states that ``$p_j$ is good''$\}$; where $C$ is an isolated clique iff it holds for every $i \in C$ and $j \neq i$ that $(i,j) \in E$ iff $j \in C$. In the present work, the classical setting of fault diagnosis is modified by no longer requiring that $C$ contains at least $\frac{n+1}{2}$ of the $n$ nodes of the graph. Instead, one is given a lower bound $a$ on the size of $C$ and the number $n$ of nodes and one has to find a list of up to $n/a$ candidates containing all isolated cliques of size $a$ or more where the number of queries whether a given edge is in $E$ is as small as possible. It is shown that the number of queries necessary differs at most by $n$ for the case of directed and undirected graphs. Furthermore, for directed graphs the lower bound $n^2/(2a-2)-3n$ and the upper bound $2n^2/a$ are established. For some constant values of $a$, better bounds are given. In the case of parallel queries, the number of rounds is at least $n/(a-1)-6$ and at most $O(\log(a)n/a)$.

Cite as

William Gasarch and Frank Stephan. Finding Isolated Cliques by Queries – An Approach to Fault Diagnosis with Many Faults. In Algebraic Methods in Computational Complexity. Dagstuhl Seminar Proceedings, Volume 4421, pp. 1-16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)


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@InProceedings{gasarch_et_al:DagSemProc.04421.3,
  author =	{Gasarch, William and Stephan, Frank},
  title =	{{Finding Isolated Cliques by Queries – An Approach to Fault Diagnosis with Many Faults}},
  booktitle =	{Algebraic Methods in Computational Complexity},
  pages =	{1--16},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{4421},
  editor =	{Harry Buhrman and Lance Fortnow and Thomas Thierauf},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.04421.3},
  URN =		{urn:nbn:de:0030-drops-1066},
  doi =		{10.4230/DagSemProc.04421.3},
  annote =	{Keywords: Isolated Cliques , Query-Complexity , Fault Diagnosis}
}
Document
The communication complexity of the Exact-N Problem revisited

Authors: William Gasarch, James Glenn, and Andre Utis

Published in: Dagstuhl Seminar Proceedings, Volume 4421, Algebraic Methods in Computational Complexity (2005)


Abstract
If Alice has x, y, Bob has x, z and Carol has y, z can they determine if x+y+z=N? They can if (say) Alice broadcasts x to Bob and Carol; can they do better? Chandra, Furst, and Lipton studied this problem and showed sublinear upper bounds. They also had matching (up to an additive constant) lower bounds. We give an exposition of their result with some attention to what happens for particular values of N.

Cite as

William Gasarch, James Glenn, and Andre Utis. The communication complexity of the Exact-N Problem revisited. In Algebraic Methods in Computational Complexity. Dagstuhl Seminar Proceedings, Volume 4421, pp. 1-14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)


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@InProceedings{gasarch_et_al:DagSemProc.04421.6,
  author =	{Gasarch, William and Glenn, James and Utis, Andre},
  title =	{{The communication complexity of the Exact-N Problem revisited}},
  booktitle =	{Algebraic Methods in Computational Complexity},
  pages =	{1--14},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{4421},
  editor =	{Harry Buhrman and Lance Fortnow and Thomas Thierauf},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.04421.6},
  URN =		{urn:nbn:de:0030-drops-1026},
  doi =		{10.4230/DagSemProc.04421.6},
  annote =	{Keywords: Communication Complexity , Exact-N problem , Arithmetic Sequences}
}
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