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Ulrich Möncke

dblp:17/2120 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 1991
—ORCID · none

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

Theory of computation · 2 · 1 first-authorSoftware engineering, systems software and programming languages · 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.

Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 100%
Theoretical computer science
1 paper
Automata and formal languages · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Compilers and program optimization
compiler construction
0.011991
Table Compression for Tree Automata · ACM Trans. Program. Lang. Syst. 1991
Automata and formal languages
tree automata
0.011991
Table Compression for Tree Automata · ACM Trans. Program. Lang. Syst. 1991

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

row displacement · 0.0directed acyclic graph compression · 0.0
YearPublicationVenuePosition
1991 Table Compression for Tree Automata
abstract
The compression of bottom-up tree automata and their representation as implemented in the OPTRAN tree transformation system are described here as a four-step process.First, the vertically working tree automata traversing one generation in one step are replaced by horizontally working automata, splitting this step into rank (operator) steps, This replaces each matrix of dimension rank (operator) by a tree of depth rank (operator), A second step replaces this tree by a shortened directed acyclic graph (DAG), that is, a DAG where equivalent states of the tree are identified and paths in the tree with no gain in information are condensed, The acceptance property of the automaton is not changed.This and the following size reduction steps critically depend on the "no-error" assumption, that is, the assumption that input trees are correctly built and that no error detection is required of the tree automata.The third step embeds the DAG, which is naturally represented by two-dimensional tables, into a linear array using row displacement and row column schemes.In addition, this step compresses strings of consecl~.,veidentical entries, which occur often in this type of automaton.The last step exploits the memory structure and addressability of the target machine.Using information on automata and table sizes, the most efilcient storage representation is selected.The data structures and access functions are generated as C objects and functions, respectively.Results showing the effectiveness of the different steps are given.
Jürgen Börstler, Ulrich Möncke, Reinhard Wilhelm
ACM Trans. Program. Lang. Syst.2
1988 Attribute (Re)evaluation in OPTRAN
Peter Lipps, Ulrich Möncke, Matthias Olk, Reinhard Wilhelm
Acta Informatica2
1982 Iterative Algorithms on Grammar Graphs
Ulrich Möncke, Reinhard Wilhelm
WG1