Abstract: This paper presents a hybrid Chebyshev-polynomial chaos (CPC) metamodel for the uncertainty quantification of multiconductor transmission line networks. The key feature of this metamodel is ...

Abstract: The increasing number of vehicles has resulted in a tremendous growth of data in vehicular communications. Cloud-based models are inefficient for handling this large data due to high latency ...

This project provides an optimized implementation of Recursive Least Squares (RLS) for polynomial regression that leverages a Chebyshev polynomial basis for improved numerical stability. The algorithm ...

To solve for u(t) numerically, we expand u(t) into a chebyshev polynomial expansion. This expansion is a sum of time dependent coefficeints times the chebyshev polynomials, which form an orthogonal ...

Many important applications in global optimization, algebra, probability and statistics, applied mathematics, control theory, financial mathematics, inverse problems, etc. can be modeled as a ...

This comprehensive volume presents essential mathematical results devoted to topics of mathematical analysis, differential equations and their various applications. It focuses on differential ...

Edited by Lauren K. Williams, University of California, Berkeley, CA, and accepted by the Editorial Board February 15, 2014 (received for review October 8, 2013) ...