Neave effect also occurs with Tausworthe sequences
Shu Tezuka
WSC 1991
A boundary layer method for accelerating the solution of the differential equations representing the dynamics of an analog relaxation neural net in a high gain limit is presented. The inverse of the gain parameter in an analog neuron's transfer function is used as a small parameter, in terms of which the net dynamics may be separated into two time scales. This separation leads to economies in the numerical treatment of the associated differential equations, i.e., the acceleration in question. Illustrative computations are presented. © 1993.
Shu Tezuka
WSC 1991
J.P. Locquet, J. Perret, et al.
SPIE Optical Science, Engineering, and Instrumentation 1998
R.A. Brualdi, A.J. Hoffman
Linear Algebra and Its Applications
Yi Zhou, Parikshit Ram, et al.
ICLR 2023