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Neural Networks and Computational Learning Theory

 

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NeuroCOLT Technical Report NC-TR-98-010

Discrete versus analog computation:
Some aspects of studying the same problem in different computational models


Klaus Meer
RWTH
Aachen

Keywords: Real number complexity; linear and quadratic programming;
structure of complexity classes; saturation

Received: 25-MAR-1998


Abstract
In this tutorial we want to outline some of the features coming up when analyzing the same computational problems in different complexity theoretic frameworks. We will focus on two problems; the first related to mathematical optimization and the second dealing with the intrinsic structure of complexity classes. Both examples serve well for working out in how far different approaches to the same problem on the one hand side can shed light upon each other, but as well allow to apply intrinsically different methods focussing on other aspects and thus sometimes leading to diverse results.

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