Title
A Strategy for Dynamic Programs: Start over and Muddle through.
Abstract
A strategy for constructing dynamic programs is introduced that utilises periodic computation of auxiliary data from scratch and the ability to maintain a query for a limited number of change steps. It is established that if some program can maintain a query for log n change steps after an AC^1-computable initialisation, it can be maintained by a first-order dynamic program as well, i.e., in DynFO. As an application, it is shown that decision and optimisation problems defined by monadic second-order (MSO) and guarded second-order logic (GSO) formulas are in DynFO, if only change sequences that produce graphs of bounded treewidth are allowed. To establish this result, Feferman-Vaught-type composition theorems for MSO and GSO are established that might be useful in their own right.
Year
DOI
Venue
2017
10.4230/LIPIcs.ICALP.2017.98
international colloquium on automata languages and programming
DocType
Volume
Citations 
Conference
abs/1704.07998
1
PageRank 
References 
Authors
0.35
1
5
Name
Order
Citations
PageRank
Samir Datta120019.82
Anish Mukherjee2133.98
Thomas Schwentick32373155.10
nils vortmeier462.85
Thomas Zeume5628.83