A general verification algorithm is described. It is then shown how ellipsoidal methods developed by A. B. Kurzhanski and P. Varaiya can be adapted to the algorithm. New numerical ...
A non-symmetric matrix splitting is presented for the solution of certain sparse linear systems. The author reports the comparison and the convergence performance of the previous a...
The linear programming method is applied to the space Un(C) of unitary matrices in order to obtain bounds for codes relative to the diversity sum and the diversity product. Theore...
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
In this paper we consider various multi-component splittings based on the trapezoidal rule and the implicit midpoint rule. It will be shown that an important requirement on such me...