This paper quantifies the approximation error in Clark’s approach [1] to computing the maximum (max) of Gaussian random variables; a fundamental operation in statistical timing...
While most supervised machine learning models assume that training examples are sampled at random or adversarially, this article is concerned with models of learning from a cooper...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...
This paper proposes a new method based on analytic signal theory for extracting both instantaneous and RMS sinusoidal jitter from PLL output signals. The method relies on the exte...
Takahiro J. Yamaguchi, Masahiro Ishida, Mani Soma,...
We study the intrinsic difficulty of solving linear parabolic initial value problems numerically at a single point. We present a worst case analysis for deterministic as well as fo...