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Leonard Berman

dblp:59/5380 · DBLP profile ↗
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12ranked-venue papers
5as first author
0since 2021 · last 1988
—ORCID · none

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

Theory of computation · 11 · 4 first-authorSystems, architecture and hardware · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1

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
Computational complexity · 62% Combinatorics and discrete mathematics · 18% Logic in computer science · 12%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 100%

Topics — the 17 heaviest of 20, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational complexity
circuit complexity
0.011988
Optimal Circuits and Transitive Automorphism Groups · ICALP 1988
Combinatorics and discrete mathematics › group theory
permutation groups
0.011988
Optimal Circuits and Transitive Automorphism Groups · ICALP 1988
Computational complexity › complexity classes
complete sets
0.021977
On Isomorphisms and Density of NP and Other Complete Sets · SIAM J. Comput. 1977
On the Structure of Complete Sets: Almost Everywhere Complexity and Infinitely Often Speedup · FOCS 1976
Computational complexity › decision problems › isomorphism problems
polynomial-time isomorphism
0.021977
On Isomorphisms and Density of NP and Other Complete Sets · SIAM J. Comput. 1977
On Isomorphisms and Density of NP and Other Complete Sets · STOC 1976
Electronic design automation
logic synthesis
0.011981
On logic comparison · DAC 1981
Graph algorithms and graph theory › graph isomorphism
graph automorphism
0.011988
Optimal Circuits and Transitive Automorphism Groups · ICALP 1988
Computational complexity
decidability
0.011977
Precise Bounds for Presburger Arithmetic and the Reals with Addition: Preliminary Report · FOCS 1977
Logic in computer science › formal arithmetic
presburger arithmetic
0.011977
Precise Bounds for Presburger Arithmetic and the Reals with Addition: Preliminary Report · FOCS 1977
Logic in computer science
quantifier elimination
0.011977
Precise Bounds for Presburger Arithmetic and the Reals with Addition: Preliminary Report · FOCS 1977
Computational complexity › structural complexity › sparse sets
sparse complete sets
0.011977
On Isomorphisms and Density of NP and Other Complete Sets · SIAM J. Comput. 1977
Computational complexity › average-case complexity
almost everywhere complexity
0.011976
On the Structure of Complete Sets: Almost Everywhere Complexity and Infinitely Often Speedup · FOCS 1976
Logic in computer science
completeness
0.011976
On the Structure of Complete Sets: Almost Everywhere Complexity and Infinitely Often Speedup · FOCS 1976
Computational complexity
structural complexity
0.011976
On Isomorphisms and Density of NP and Other Complete Sets · STOC 1976
Computational complexity
space complexity
0.011975
A Note on Tape Bounds for SLA Language Processing · FOCS 1975
Computational complexity › structural complexity
complement closure
0.011975
A Note on Tape Bounds for SLA Language Processing · FOCS 1975
Computational complexity
complexity classes
0.011977
On Isomorphisms and Density of NP and Other Complete Sets · SIAM J. Comput. 1977
Computational complexity › complexity classes
EXPTIME
0.011977
On Isomorphisms and Density of NP and Other Complete Sets · SIAM J. Comput. 1977

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

polynomial-time mappings · 0.0simulation · 0.0p-isomorphism · 0.0hierarchy theorems · 0.0diagonalization · 0.0complexity bounds · 0.0combinatorial circuit · 0.0
YearPublicationVenuePosition
1988 Optimal Circuits and Transitive Automorphism Groups
Steven Rudich, Leonard Berman
ICALP2
1987 Some Observations Concerning Alternating Turing Machines Using Small Space
Jik H. Chang, Oscar H. Ibarra, Bala Ravikumar, Leonard Berman
Inf. Process. Lett.4
1981 On logic comparison
Leonard Berman
DAC1
1981 A Fast Algorithm for Steiner Trees
Lawrence T. Kou, George Markowsky, Leonard Berman
Acta Informatica3
1980 The Complexity of Logical Theories
Leonard Berman
Theor. Comput. Sci.1
1978 On Polynomial Time Isomorphisms of Some New Complete Sets
Juris Hartmanis, Leonard Berman
J. Comput. Syst. Sci.2
1977 Precise Bounds for Presburger Arithmetic and the Reals with Addition: Preliminary Report
Leonard Berman
FOCS1
1977 On Isomorphisms and Density of NP and Other Complete Sets
abstract
If all $NP$ complete sets are isomorphic under deterministic polynomial time mappings (p-isomorphic) then $P \ne NP$ and if all PTAPE complete sets are P-isomorphic then $P \ne {\text{PTAPE}}$. We show that all $NP$ complete sets known (in the literature) are indeed p-isomorphic and so are the known PTAPE complete sets. This shows that, in spite of the radically different origins and attempted simplification of these sets, all the known $NP$ complete sets are identical but for simple isomorphic codings computable in deterministic polynomial time. Furthermore, if all $NP$ complete sets are p-isomorphic then they all must have similar densities and, for example, no language over a single letter alphabet can be $NP$ complete, nor can any sparse language over an arbitrary alphabet be $NP$ complete. We show that complete sets in EXPTIME and EXPTAPE cannot be sparse and therefore they cannot be over a single letter alphabet. Similarly, we show that the hardest context-sensitive languages cannot be sparse. We also relate the existence of sparse complete sets to the existence of simple combinatorial circuits for the corresponding truncated recognition problem of these languages.
Leonard Berman, Juris Hartmanis
SIAM J. Comput.1
1976 On the Structure of Complete Sets: Almost Everywhere Complexity and Infinitely Often Speedup
abstract
In this paper we investigate the structure of sets which are complete for various classes. We show, for example, that sets complete for deterministic time classes contain infinite polynomial time recognizable subsets, thus showing that they are not complex almost everywhere. We show by a related technique that any set complete for NEXP_TIME contains an infinite subset in DEXP_TIME, thereby showing that these sets do not require the use of non-determinism almost everywhere. Furthermore, we show that complete sets for deterministic time classes have effective I.O. speed-up to a polynomial; this strengthens a result of Stockmeyer.
Leonard Berman
FOCS1
1976 On Isomorphisms and Density of NP and Other Complete Sets
abstract
If all NP complete sets are isomorphic under deterministic polynomial time mappings (p-isomorphic) then P @@@@ NP and if all PTAPE complete sets are p-isomorphic then P @@@@ PTAPE. We show that all NP complete sets known (in the literature) are indeed p-isomorphic and so are the known PTAPE complete sets. Thus showing that, inspite of the radically different origins and attempted simplification of these sets, all the known NP complete sets are identical but for polynomially time bounded permutations.
Juris Hartmanis, Leonard Berman
STOC2
1976 On Tape Bounds for Single Letter Alphabet Language Processing
Juris Hartmanis, Leonard Berman
Theor. Comput. Sci.2
1975 A Note on Tape Bounds for SLA Language Processing
abstract
In this note we show that the tape bounded complexity classes of languages over single letter alphabets are closed under complementation. We then use this result to show that there exists an infinite hierarchy of tape bounded complexity classes of sla languages between log n and log log n tape bounds. We also show that every infinite sla language recognizable on less than log n tape has infinitely many different regular subsets, and, therefore, the set of primes in unary notation, P, requires exactly log n tape for its recognition and every infinite subset of P requires at least log n tape.
Juris Hartmanis, Leonard Berman
FOCS2