The primary goal of this article is to extend the reciprocal LASSO for applications binary and survival outcomes. We consider least squares approximation (LSA) as a solver problem. LSA general theoretical framework that includes generalized linear models, Cox regression, many others special cases. By applying regularization, we transfer original problem into an asymptotically equivalent While e...

we present a methodology for characterization and an approach for computing the solutions of fuzzy linear systems with lr fuzzy variables. as solutions, notions of exact and approximate solutions are considered. we transform the fuzzy linear system into a corresponding linear crisp system and a constrained least squares problem. if the corresponding crisp system is incompatible, then the fuzzy ...

The Cubed Sphere grid is an important tool to approximate functions or data on the sphere. We introduce approximation framework this based least squares and a suitably chosen subspace of spherical harmonics. main claim that for equiangular with step size π/(2N), relevant harmonics one all SH degree less than 2N. This choice, which matches Nyquist’s cutoff frequency along equatorial great circle...