A quasi-least-squares (QLS) mixed finite element method (MFE) based on the L2-inner product is utilized to solve an incompressible magnetohydrodynamic (MHD) model. These models are associated with three unknown terms, i.e., fluid velocity, pressure, and magnetic field. For MHD-based models, common theories algorithms for approximation of solutions not always applicable because choice functional...

This is a follow up to ”Solution of the least squares method problem of pairwise comparisons matrix” by Bozóki published by this journal in 2008. Familiarity with this paper is essential and assumed. For lower inconsistency and decreased accuracy, our proposed solutions run in seconds instead of days. As such, they may be useful for researchers willing to use the least squares method (LSM) inst...

in this study, flow field and heat transfer of al2o3-cu/water micropolar hybrid nanofluid is investigated in a permeable channel using the least square method. the channel is encountered to chemical reaction, and a constant magnetic field is also applied. the bottom wall is hot and coolant fluid is injected into the channel from the top wall. the effects of different parameters such as the reyn...

The least squaremethods (LSM) is probably themost popular technique in statistics. This is due to several factors. First, most common estimators can be casted within this framework. For example, themean of a distribution is the value that minimizes the sum of squared deviations of the scores. Second, using squares makes LSM mathematically very tractable because the Pythagorean theorem indicates...

Targeting the problem of fault diagnosis in magnetic coupling underwater thrusters, a pattern classification method based on load feature extraction is proposed this paper. By analyzing output characteristics thrusters under typical patterns, torque model established, and two characteristic parameters are constructed to describe different patterns thrusters. Then, thruster reconstruction method...

Both migration deconvolution (MD) and least squares migration (LSM) are capable of improving the resolution and suppress acquisition footprints in migrated images. In this paper, we investigate the relative performance of these two technologies in enhancing migration image quality, suppressing artifacts and computational efficiency. Both MD and LSM were tested on SEG/EAGE overthrust models. The...