Demo Data from EDBT 2026 / reviewers in the wild / expert
Leonard Berman
dblp:59/5380
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational complexity
circuit complexity |
0.0 | 1 | 1988 | Optimal Circuits and Transitive Automorphism Groups · ICALP 1988 |
Combinatorics and discrete mathematics › group theory
permutation groups |
0.0 | 1 | 1988 | Optimal Circuits and Transitive Automorphism Groups · ICALP 1988 |
Computational complexity › complexity classes
complete sets |
0.0 | 2 | 1977 | 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 |
0.0 | 2 | 1977 | 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 |
0.0 | 1 | 1981 | On logic comparison · DAC 1981 |
Graph algorithms and graph theory › graph isomorphism
graph automorphism |
0.0 | 1 | 1988 | Optimal Circuits and Transitive Automorphism Groups · ICALP 1988 |
Computational complexity
decidability |
0.0 | 1 | 1977 | Precise Bounds for Presburger Arithmetic and the Reals with Addition: Preliminary Report · FOCS 1977 |
Logic in computer science › formal arithmetic
presburger arithmetic |
0.0 | 1 | 1977 | Precise Bounds for Presburger Arithmetic and the Reals with Addition: Preliminary Report · FOCS 1977 |
Logic in computer science
quantifier elimination |
0.0 | 1 | 1977 | Precise Bounds for Presburger Arithmetic and the Reals with Addition: Preliminary Report · FOCS 1977 |
Computational complexity › structural complexity › sparse sets
sparse complete sets |
0.0 | 1 | 1977 | On Isomorphisms and Density of NP and Other Complete Sets · SIAM J. Comput. 1977 |
Computational complexity › average-case complexity
almost everywhere complexity |
0.0 | 1 | 1976 | On the Structure of Complete Sets: Almost Everywhere Complexity and Infinitely Often Speedup · FOCS 1976 |
Logic in computer science
completeness |
0.0 | 1 | 1976 | On the Structure of Complete Sets: Almost Everywhere Complexity and Infinitely Often Speedup · FOCS 1976 |
Computational complexity
structural complexity |
0.0 | 1 | 1976 | On Isomorphisms and Density of NP and Other Complete Sets · STOC 1976 |
Computational complexity
space complexity |
0.0 | 1 | 1975 | A Note on Tape Bounds for SLA Language Processing · FOCS 1975 |
Computational complexity › structural complexity
complement closure |
0.0 | 1 | 1975 | A Note on Tape Bounds for SLA Language Processing · FOCS 1975 |
Computational complexity
complexity classes |
0.0 | 1 | 1977 | On Isomorphisms and Density of NP and Other Complete Sets · SIAM J. Comput. 1977 |
Computational complexity › complexity classes
EXPTIME |
0.0 | 1 | 1977 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | Optimal Circuits and Transitive Automorphism Groups
Steven Rudich, Leonard Berman |
ICALP | 2 |
| 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 |
DAC | 1 |
| 1981 | A Fast Algorithm for Steiner Trees
Lawrence T. Kou, George Markowsky, Leonard Berman |
Acta Informatica | 3 |
| 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 |
FOCS | 1 |
| 1977 | On Isomorphisms and Density of NP and Other Complete SetsabstractIf 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 SpeedupabstractIn 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 |
FOCS | 1 |
| 1976 | On Isomorphisms and Density of NP and Other Complete SetsabstractIf 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 |
STOC | 2 |
| 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 ProcessingabstractIn 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 |
FOCS | 2 |