Generating random solutions for constraint satisfaction problems
Rina Dechter, Kalev Kask, et al.
AAAI/IAAI 2002
This paper deals with a technique for proving that certain problems of numerical analysis are numerically unsolvable. So that only methods which are natural for dealing with analytic problems may be presented, notions from recursive function theory have been avoided. Instead, the number of necessary function evaluations is taken as the measure of computational complexity. The role of topological concepts in the study of computability is examined. Last, a topological result is used to prove that a simple initial-value problem is numerically unsolvable. © 1973, ACM. All rights reserved.
Rina Dechter, Kalev Kask, et al.
AAAI/IAAI 2002
Robert Farrell, Rajarshi Das, et al.
AAAI-SS 2010
Eunho Yang, Aurelie C. Lozano, et al.
ICML 2014
Ira Pohl
Artificial Intelligence