This paper, based on linear regression analysis of basic equation and improvement equation, deduced the least squares estimation (LSE ... This paper used power system simulation software ...

One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

Abstract: This paper proposes a least square regularized regression algorithm in sum space of reproducing kernel Hilbert spaces (RKHSs) for nonflat function approximation, and obtains the solution of ...

Abstract: In this paper, we propose a novel diffusion robust variable step-size least mean square ... the proposed algorithm is assigned with variable step-sizes to further improve the performances of ...

Supernal’s Advanced Air Mobility Development [Article] - A blog on how MathWorks is supporting Supernal's development of advanced air mobility through integrated simulation systems. Intel’s Simulation ...

In this study, we propose a novel optimization algorithm for learning TN classifiers by using alternating least square (ALS) algorithm. Unlike conventional gradient-based methods, which suffer from ...

Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.