Abstract: The forgetting factor is the main control parameter of the recursive least-squares (RLS) algorithm, which is set to balance between the estimate accuracy and the tracking capability.

The SMAWK algorithm is an efficient method for finding row minima in totally monotone matrices, a specific type of matrix where entries decrease or stay constant along each row and column. Developed ...

Scientists in Spain have implemented recursive least squares (RLS) algorithms for anomaly detection in PV systems and have found they can provide “more realistic and meaningful assessment” than ...

Abstract: In this letter, a novel recursive total least squares (RTLS) algorithm that is grounded in a constrained Lagrange optimization of the errors-in-variables model is presented. The proposed ...

This is the code repository for Hands-On Data Structures & Algorithms in Java 11 (V), published by Packt. It contains all the supporting project files necessary to work through the video course from ...

Dynamic programming is a method frequently applied to optimization problems, problems where we are looking for the best solution to a problem. A famous example of an optimization problem is the ...

ABSTRACT: Industrial noise can be successfully mitigated with the combined use of passive and Active Noise Control (ANC) strategies. In a noisy area, a practical solution for noise attenuation may ...