Minimum residual methods such as the least-squares finite element method (FEM) or the discontinuous Petrov-Galerkin (DPG) method with optimal test functions usually exclude singular data, e.g., non-square-integrable loads. ...

A resolução de sistemas lineares tem aplicação nos mais diversos campos da ciência. Em geral, as resoluções de sistemas lineares envolvendo a inversa de uma matriz estão restritas às matrizes quadradas e não singulares. O ...

It has always been a challenge for math teachers to motivate students nowadays, with access to new technologies, this becomes and even greater challenge. One of the strategies that can be utilized in trying to increase ...

We characterize the performance of the widely used least-squares estimator in astrometry in terms of a comparison with the Cramer-Rao lower variance bound. In this inference context the performance of the least-squares ...

In this work, a plant-wide control methodology, named Minimum Square Deviation (MSD), is applied on the challenging Petlyuk distillation column. This process presents an interesting design since allows to separate a ternary ...

O objetivo desse trabalho é estudar e apresentar detalhes da teoria de aproximação de funções e aplicá-la a problemas envolvendo prática esportiva, mais especificamente a encontrar limitantes e estimativas futuras para ...

We characterize the performance of the widely used least-squares estimator in astrometry in terms of a comparison with the Cramér–Rao lower variance bound. In this inference context the performance of the leastsquares estimator ...

We derive an easy-to-compute approximate bound for the range of step-sizes for which the constant-modulus algorithm (CMA) will remain stable if initialized close to a minimum of the CM cost function. Our model highlights ...

Context. Astrometry relies on the precise measurement of positions and motions of celestial objects. Driven by the ever-increasing accuracy of astrometric measurements, it is important to critically assess the maximum ...