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Randomisation and Derandomisation in Descriptive Complexity Theory

Kord Eickmeyer ; Martin Grohe.
We study probabilistic complexity classes and questions of derandomisation from a logical point of view. For each logic L we introduce a new logic BPL, bounded error probabilistic L, which is defined from L in a similar way as the complexity class BPP, bounded error probabilistic polynomial time, is&nbsp;[&hellip;]
Published on September 21, 2011

The Complexity of Datalog on Linear Orders

Martin Grohe ; Goetz Schwandtner.
We study the program complexity of datalog on both finite and infinite linear orders. Our main result states that on all linear orders with at least two elements, the nonemptiness problem for datalog is EXPTIME-complete. While containment of the nonemptiness problem in EXPTIME is known for finite&nbsp;[&hellip;]
Published on February 27, 2009

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