The fact that the heat equation is controllable to zero in any bounded domain of the euclidean space, any time T > 0 and from any open subset of the boundary is well known. On ...
A common technique to deploy linear prediction to nonstationary signals is time segmentation and local analysis. In [1], the temporal changes of linear prediction coefficients (L...
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
Abstract. We investigate integer programs containing monomial constraints of the type Q iI xi i = b. Due to the number-theoretic nature of these constraints, standard methods based...
Christoph Buchheim, Dennis Michaels, Robert Weisma...
Sensor networks are being used for implementation of a large number of applications involving distributed and collaborative computation. Extensive research has focused upon design ...