The nullspace basis needs to be sparse, well-conditioned, easy to apply. Those criteria are difficult to match together, actually it can be rather ill-conditioned or dense. Paramount among them is ...

The columns containing a leading entry, in this example columns 2 and 4, are easily seen to be a basis for the column space of R.Unfortunately doing row operations can change the column space of a ...

An improved algorithm suitable for the analysis of arrays of dielectric scatterers using the adaptive basis functions/diagonal moment matrix (ABF/DMM) technique is proposed. The ABFs are constructed ...

We propose, in this paper, a framework for time series and nonlinear system modeling, called the basis function matrix-based flexible coefficient autoregressive (BFM-FCAR) model. It has very flexible ...