EDBT 2026 Demo / reviewers in the wild / expert
Rutger Verbeek
dblp:80/3540
· DBLP profile ↗
12ranked-venue papers
3as first author
0since 2021 · last 2001
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 12 · 3 first-author
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
7 papers |
Computational complexity · 73% Automata and formal languages · 19% Algorithms and data structures · 5% |
Topics — the 15 heaviest of 16, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational complexity
randomized computation |
0.0 | 3 | 1993 | On Randomized Versus Deterministic Computation · ICALP 1993 On the Power of Two-Way Random Generators and the Impossibility of Deterministic Poly-Space Simulation · Inf. Control. 1986 There Is No Polynomial Deterministic Space Simulation of Probabilistic Space with a Two-Way Random-Tape Generator · Inf. Control. 1985 |
Computational complexity
space complexity |
0.0 | 2 | 1986 | On the Power of Two-Way Random Generators and the Impossibility of Deterministic Poly-Space Simulation · Inf. Control. 1986 There Is No Polynomial Deterministic Space Simulation of Probabilistic Space with a Two-Way Random-Tape Generator · Inf. Control. 1985 |
Computational complexity
time-space tradeoffs |
0.0 | 3 | 1983 | The Recognition of Deterministic CFL's in Small Time and Space · Inf. Control. 1983 Time-Space Trade-Offs for General Recursion · FOCS 1981 A Recognition Algorithm for Deterministic CFLS optimal in Time and Space · FOCS 1980 |
Computational complexity › complexity classes
probabilistic complexity classes |
0.0 | 1 | 1987 | On the Monte Carlo Space Constructible Functions and Seperation Results for Probabilistic Complexity Classes · Inf. Comput. 1987 |
Computational complexity › structural complexity › complexity class separation
separation results |
0.0 | 1 | 1987 | On the Monte Carlo Space Constructible Functions and Seperation Results for Probabilistic Complexity Classes · Inf. Comput. 1987 |
Computational complexity › space complexity
space constructibility |
0.0 | 1 | 1987 | On the Monte Carlo Space Constructible Functions and Seperation Results for Probabilistic Complexity Classes · Inf. Comput. 1987 |
Automata and formal languages
context-free languages |
0.0 | 2 | 1983 | The Recognition of Deterministic CFL's in Small Time and Space · Inf. Control. 1983 A Recognition Algorithm for Deterministic CFLS optimal in Time and Space · FOCS 1980 |
Computational complexity › space complexity
randomized space simulation |
0.0 | 1 | 1985 | There Is No Polynomial Deterministic Space Simulation of Probabilistic Space with a Two-Way Random-Tape Generator · Inf. Control. 1985 |
Algorithms and data structures
deterministic algorithms |
0.0 | 1 | 1993 | On Randomized Versus Deterministic Computation · ICALP 1993 |
Automata and formal languages › context-free languages
deterministic context-free languages |
0.0 | 1 | 1983 | The Recognition of Deterministic CFL's in Small Time and Space · Inf. Control. 1983 |
Automata and formal languages › context-free languages
recognition complexity |
0.0 | 1 | 1983 | The Recognition of Deterministic CFL's in Small Time and Space · Inf. Control. 1983 |
Computational complexity › space complexity
pebble game |
0.0 | 1 | 1981 | Time-Space Trade-Offs for General Recursion · FOCS 1981 |
Automata and formal languages
pushdown automata |
0.0 | 1 | 1981 | Time-Space Trade-Offs for General Recursion · FOCS 1981 |
Logic in computer science
recursion |
0.0 | 1 | 1981 | Time-Space Trade-Offs for General Recursion · FOCS 1981 |
Automata and formal languages › context-free languages › context-free language recognition
deterministic context-free language recognition |
0.0 | 1 | 1980 | A Recognition Algorithm for Deterministic CFLS optimal in Time and Space · FOCS 1980 |
Methods — techniques the papers use, named apart from their topics
complexity theory · 0.0separation results · 0.0impossibility proof · 0.0space simulation · 0.0random access input · 0.0multitape turing machine simulation · 0.0space-time tradeoff · 0.0multitape turing machine · 0.0lower bound proof · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | Monte-Carlo Polynomial Versus Linear Time - The Truth-Table Case
Robert Rettinger, Rutger Verbeek |
FCT | 2 |
| 1996 | On Randomized versus Deterministic Computation
Marek Karpinski, Rutger Verbeek |
Theor. Comput. Sci. | 2 |
| 1993 | On Randomized Versus Deterministic Computation
Marek Karpinski, Rutger Verbeek |
ICALP | 2 |
| 1987 | On the Monte Carlo Space Constructible Functions and Seperation Results for Probabilistic Complexity Classes
Marek Karpinski, Rutger Verbeek |
Inf. Comput. | 2 |
| 1986 | On the Power of Two-Way Random Generators and the Impossibility of Deterministic Poly-Space Simulation
Marek Karpinski, Rutger Verbeek |
Inf. Control. | 2 |
| 1985 | There Is No Polynomial Deterministic Space Simulation of Probabilistic Space with a Two-Way Random-Tape Generator
Marek Karpinski, Rutger Verbeek |
Inf. Control. | 2 |
| 1983 | Input-Driven Languages are Recognized in log n Space
Burchard von Braunmühl, Rutger Verbeek |
FCT | 2 |
| 1983 | The Recognition of Deterministic CFL's in Small Time and SpaceabstractLet S(n) be a nice space bound such that log2 n S(n) n. Then every DCFL is recognized by a multitape Turing machine simultaneously in time O(n2/S(n)) and space O(S(n)), and this time bound is optimal. If the machine is allowed a random access input, then the time bound can be improved so that the time-space product is O(n1 + ). Burchard von Braunmühl, Stephen A. Cook, Kurt Mehlhorn, Rutger Verbeek |
Inf. Control. | 4 |
| 1981 | Time-Space Trade-Offs for General RecursionabstractA lower bound for the time-space trade-off of pebble games on PD-Graphs (which represent computations of push-down automata or recursion schemes) is proved, that is only a bit lower than the best known upper bound (the lower and upper time bound is about n · 2 logn/log(s/log n)). The best lower bound known up to now is the bound for linear recursion (about n · log n/log(s/log n) for s ≫ log n. Rutger Verbeek |
FOCS | 1 |
| 1980 | A Recognition Algorithm for Deterministic CFLS optimal in Time and SpaceabstractAn algorithm is presented which recognizes arbitrary deterministic CFLs in space O(log2n) and time O(n2/log2n) simultaneously on a deterministic multitape Turing machine. Furthermore, the algorithm provides a general space-time trade-off for deterministic CFLs: the lower bound of the space time product is n2 and our algorithm uses time O(n2/s(n)) for any "acceptable" space functions s(n) between log2n and n. The same methods also give very small upper bounds for DCFL recognition using a fast read-only memory for the input (e.g. space (log n)2 and time n1+ε simultaneously for any ε ≫ o). Burchard von Braunmühl, Rutger Verbeek |
FOCS | 2 |
| 1978 | Data Representation and Computational Complexity
Rutger Verbeek, Klaus Weihrauch |
Theor. Comput. Sci. | 1 |
| 1976 | The Influence of the Data Presentation on the Computational POwer of Machines
Rutger Verbeek, Klaus Weihrauch |
MFCS | 1 |