Wigner–Smith Time-Delay Matrix for Electromagnetics: Theory and Phenomenology

Computational Electromagnetics and Parallel Dense Matrix Computations

We present computational results using CORAL, a parallel, three-dimensional, nonlinear magnetostatic code based on a volume integral equation formulation. A key feature of CORAL is the ability to solve, in parallel, the large, dense systems of linear equations that are inherent in the use of integral equation methods. Using the Chameleon and PSLES libraries ensures portability and access to the...

Finite time stabilization of time-delay nonlinear systems with uncertainty and time-varying delay

In this paper, the problem of finite-time stability and finite-time stabilization for a specific class of dynamical systems with nonlinear functions in the presence time-varying delay and norm-bounded uncertainty terms is investigated. Nonlinear functions are considered to satisfy the Lipchitz conditions. At first, sufficient conditions to guarantee the finite-time stability for time-delay nonl...

Time-Domain Algorithms for Computational Electromagnetics

Multi-scale Computational Electromagnetics for Phenomenology and Saliency Characterization in Remote Sensing

With the advent of computational electromagnetics and increasing speed and power of computing, it is promising where modelling in microwave remote sensing can be pursued with more realistic physical configuration. This project focuses on new approaches in extending current basic computational electromagnetics to the application in microwave remote sensing as well as extension of modelling capab...

A Simd Sparse Matrix-vector Multiplication Algorithm for Computational Electromagnetics and Scattering Matrix Models

Kipadia, Nirav Harish. M.S.E.E., Purdue University. May 1994. Pi SIMD Sparse Matrix-Vector Multiplication Algorithm for Computational Electromagnetics and Scattering Matrix Models. Major Professor: Jose Fortes. A large number of problems in numerical analysis require the multiplication of a sparse matrix by a vector. In spite of the large amount of fine-grained parallelism available in the proc...