Abstract: Random matrix is a simple and efficient method for extended target tracking. In this paper, based on variational Bayesian approximation, we present a Gamma Gaussian inverse Wishart filter ...

Abstract: With the ever decreasing transistor feature size in recent years, process variation has become a serious challenge in digital system design, mainly due to the undesirable timing uncertainty ...

This course teaches commonly used approximation methods in quantum mechanics. They include time-independent perturbation theory, time-dependent perturbation theory, tight binding method, variational ...

This is a short library that implements the complex-step derivative approximation algorithm for the computation of the N-derivative of an N-dimension function. This repository also includes the ...