IEEE

Comparative Analysis of Search Algorithm based Loss Minimization Techniques used in Vector Controlled Induction Motors

Abstract: This paper presents a comprehensive study for online loss minimization of induction motor (IM) drives. Each loss ...
IEEE

Variance Minimization Least Squares Support Vector Machines for Time Series Analysis

Abstract: Here we propose a novel machine learning method for time series forecasting which is based on the widely-used Least ...
JSTOR Daily

Parameter Selection for Modified Newton Methods for Function Minimization

The stability of Newton's methods for function minimization, or variants of it such as quasi-Newton or Newton-Raphson methods ...
scienceopen.com

Minimization of Transformed L_1 Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing

We study the minimization problem of a non-convex sparsity promoting penalty function, the transformed \(l_1\) (TL1), and its ...
JSTOR Daily

Further Results on the Minimization of a Nonseparable Objective Function Subject to Disjoint Constraints

This is a preview. Log in through your library . Abstract We consider the class of nonseparable mathematical programs in which ...