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PURE Aarhus University
Contribution for newspaper or weekly magazine . 2006
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https://doi.org/10.1109/ccc.20...
Article . 2006 . Peer-reviewed
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Article . 2009 . Peer-reviewed
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Article . 2006
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On the Complexity of Numerical Analysis

Authors: Allender, Eric; Bürgisser, Peter; Kjeldgaard-Pedersen, Johan; Miltersen, Peter Bro;

On the Complexity of Numerical Analysis

Abstract

We study two quite different approaches to understanding the complexity of fundamental problems in numerical analysis. We show that both hinge on the question of understanding the complexity of the following problem, which we call PosSlp: Given a division-free straight-line program producing an integer N, decide whether N>0. We show that OrdSlp lies in the counting hierarchy, and combining our results with work of Tiwari, we show that the Euclidean Traveling Salesman Problem lies in the counting hierarchy – the previous best upper bound for this important problem (in terms of classical complexity classes) being PSPACE.

Country
Germany
Keywords

Euclidean Traveling Salesman Problem, 004, FPT algorithm, edge completion, profile minimization, branching, interval graphs, Blum-Shub-Smale Model, Counting Hierarchy, computional complexity, numerical analysis, ddc: ddc:004

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    111
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
111
Top 10%
Top 10%
Top 10%
Green
bronze