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William M. Kantor

dblp:71/1707 · DBLP profile ↗
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14ranked-venue papers
11as first author
2since 2021 · last 2026
0000-0001-7914-6720ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 10 · 8 first-authorSecurity and privacy · 4 · 3 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
6 papers
Algorithms and data structures · 46% Graph algorithms and graph theory · 29% Coding theory · 24%

Topics — the 12 heaviest of 12, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithms and data structures › symbolic computation › computational algebra
computational group theory
0.031990
Computing in Quotient Groups · STOC 1990
On the Diameter of Finite Groups · FOCS 1990
Computational Complexity and the Classification of Finite Simple Groups · FOCS 1983
Algorithms and data structures › symbolic computation
permutation group algorithms
0.021990
Computing in Quotient Groups · STOC 1990
Computational Complexity and the Classification of Finite Simple Groups · FOCS 1983
Graph algorithms and graph theory › graph theory › algebraic graph theory
cayley graph
0.011990
On the Diameter of Finite Groups · FOCS 1990
Graph algorithms and graph theory
graph algorithms
0.011990
On the Diameter of Finite Groups · FOCS 1990
Graph algorithms and graph theory
graph isomorphism
0.011983
Computational Complexity and the Classification of Finite Simple Groups · FOCS 1983
Coding theory › error-correcting codes › nonlinear codes
nonlinear binary codes
0.011983
On the inequivalence of generalized Preparata codes · IEEE Trans. Inf. Theory 1983
Coding theory › error-correcting codes › nonlinear codes
preparata code
0.011983
On the inequivalence of generalized Preparata codes · IEEE Trans. Inf. Theory 1983
Coding theory
error-correcting codes
0.011982
Independent pairs of good self-dual codes · IEEE Trans. Inf. Theory 1982
Coding theory › error-correcting codes › nonlinear codes
kerdock codes
0.011982
An Exponential Number of Generalized Kerdock Codes · Inf. Control. 1982
Coding theory › error-correcting codes › block codes › linear code
self-dual codes
0.011982
Independent pairs of good self-dual codes · IEEE Trans. Inf. Theory 1982
Coding theory › error-correcting codes
code construction
0.011982
Independent pairs of good self-dual codes · IEEE Trans. Inf. Theory 1982
Coding theory › error-correcting codes › coding bounds
minimum distance bounds
0.011982
Independent pairs of good self-dual codes · IEEE Trans. Inf. Theory 1982

Methods — techniques the papers use, named apart from their topics

polynomial-time algorithm · 0.0generator set analysis · 0.0finite field automorphisms · 0.0coset intersection · 0.0classification of finite simple groups · 0.0algebraic coding theory · 0.0varshamov-gilbert bound · 0.0
YearPublicationVenuePosition
2026 Soft planes and groups
William M. Kantor
Des. Codes Cryptogr.1
2022 Automorphism subgroups for designs with λ =1
William M. Kantor
Des. Codes Cryptogr.1
2012 Planes in which every quadrangle lies on a unique Baer subplane
William M. Kantor, Tim Penttila
Des. Codes Cryptogr.1
2008 Distorting symmetric designs
Ulrich Dempwolff, William M. Kantor
Des. Codes Cryptogr.2
1992 Some Large Trivalent Graphs Having Small Diameters
William M. Kantor
Discret. Appl. Math.1
1991 Finding Composition Factors of Permutation Groups of Degree n < 10^6
William M. Kantor
J. Symb. Comput.1
1990 On the Diameter of Finite Groups
abstract
The diameter of a group G with respect to a set S of generators is the maximum over g in G of the length of the shortest word in S union S/sup -1/ representing g. This concept arises in the contexts of efficient communication networks and Rubik's-cube-type puzzles. 'Best' generators are pertinent to networks, whereas 'worst' and 'average' generators seem more adequate models for puzzles. A substantial body of recent work on these subjects by the authors is surveyed. Regarding the 'best' case, it is shown that, although the structure of the group is essentially irrelevant if mod S mod is allowed to exceed (log mod G mod )/sup 1+c/(c>0), it plays a strong role when mod S mod =O(1).>
László Babai, Gábor Hetyei, William M. Kantor, Alexander Lubotzky, Ákos Seress
FOCS3
1990 Computing in Quotient Groups
abstract
We present polynomial-time algorithms for computation in quotient groups G/K of a permutation group G.In effect, these solve, for quotient groups, the problems that are known to be in polynomial-time for permutation groups.Since it is not computationally feasible to represent G/K itself as a permutation group, the methodology for the quotient-group versions of such problems frequently differ markedly from the procedures that have been observed for the K = 1 subcases.Whereas the algorithms for permutation groups may have rested on elementary notions, procedures underlying the extension to quotient groups often utilize deep knowledge of the structure of the group.In some instances, we present algorithms for problems that were not previously known to be in polynomial time, even for permutation groups themselves (K = 1).These problems apparently required access to quotients.
William M. Kantor, Eugene M. Luks
STOC1
1989 Some Cayley graphs for simple groups
William M. Kantor
Discret. Appl. Math.1
1985 Sylow's Theorem in Polynomial Time
William M. Kantor
J. Comput. Syst. Sci.1
1983 Computational Complexity and the Classification of Finite Simple Groups
abstract
We address the graph isomorphism problem and related fundamental complexity problems of computational group theory. The main results are these: A1. A polynomial time algorithm to test simplicity and find composition factors of a given permutation group (COMP). A2. A polynomial time algorithm to find elements of given prime order p in a permutation group of order divisible by p. A3. A polynomial time reduction of the problem of finding Sylow subgroups of permutation groups (SYLFIND) to finding the intersection of two cosets of permutation groups (INT). As a consequence, one can find Sylow subgroups of solvable groups and of groups with bounded nonabelian composition factors in polynomial time. A4. A polynomial time algorithm to solve SYLFIND for finite simple groups. A5. An ncd/log d algorithm for isomorphism (ISO) of graphs of valency less than d and a consequent improved moderately exponential general graph isomorphism test in exp(c√n log n) steps. A6. A moderately exponential, n,c√n algorithm for INT. Combined with A3, we obtain an nc√n algorithm for SYLFIND as well. All these problems have strong links to each other. ISO easily reduces to INT. A subcase of SYLFIND was solved in polynomial time and applied to bounded valence ISO in [Lul]. Now, SYLFIND is reduced to INT. Interesting special cases of SYLFIND belong to NP ∩ coNP and are not known to have subexponential solutions. All the results stated depend on the classification of finite simple groups. We note that no previous ISO test had no(d) worst case behavior for graphs of valency less than d. It appears that unless there is another radical breakthrough in ISO, independent of the previous one, the simple groups classification is an indispensable tool for further developments.
László Babai, William M. Kantor, Eugene M. Luks
FOCS2
1983 On the inequivalence of generalized Preparata codes
abstract
Ifmis odd and\sigma /in Aut GF(2^{m})is such thatx \rightarrow x^{\sigma^{2}-1}is1-1, there is a[2^{m+1}-1,2^{m+l}-2m-2]nonlinear binary codeP(\sigma)having minimum distance 5. All the codesP(\sigma)have the same distance and weight enumerators as the usual Preparata codes (which rise asP(\sigma)whenx^{\sigma}=x^{2}). It is shown thatP(\sigma)andP(\tau)are equivalent if and only if\tau=\sigma^{\pm 1}, andAut P(\sigma)is determined.
William M. Kantor
IEEE Trans. Inf. Theory1
1982 An Exponential Number of Generalized Kerdock Codes
William M. Kantor
Inf. Control.1
1982 Independent pairs of good self-dual codes
abstract
Letn \equiv 0 \pmod{8}. Then there are two self-dual binary codes of lengthnhaving only the zero and all-one vectors in common, having all weights divisible by four, and having minimum distances asymptotically the same as that given by the Varshamov-Gilbert bound.
William M. Kantor
IEEE Trans. Inf. Theory1