fastDNAml is an attempt to solve the same problem as DNAML, but to do so
faster and using less memory, so that larger trees and/or more bootstrap
replicates become tractable. Much of fastDNAml is merely a recoding of the
PHYLIP 3.3 DNAML program from PASCAL to C.
The Hopfield model is a distributed model of an associative memory. Neurons are pixels and can take the values of -1 (off) or +1 (on). The network has stored a certain number of pixel patterns. During a retrieval phase, the network is started with some initial configuration and the network dynamics evolves towards the stored pattern which is closest to the initial configuration.
