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Neural Networks and Computational Learning Theory

 

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NeuroCOLT Technical Report NC-TR-98-006


The Real Dimension Problem is NPR-Complete


Pascal Koiran
ENS Lyon

Keywords: Blum-Shub-Smale model; NPR-complete

Received: 06-MAR-1998


Abstract
We show that computing the dimension of a semi-algebraic set of r^n is a NPR-complete problem in the Blum-Shub-Smale model of computation over the reals. Since this problem is easily seen to be NPR-hard, the main ingredient of the proof is a NPR algorithm for computing the dimension.

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