Non-negative matrix factorization (NMF) is a recently developed technique for finding parts-based, linear representations of non-negative data. Although it has successfully been a...
This paper proposes a new Newton-like method which defines new iterates using a linear system with the same coefficient matrix in each iterate, while the correction is performed on...
The paper analyses the nature of limit cycles induced through the interaction of transformer tap changing and load dynamics. Linearization of a Poincar´e map is used to prove loc...
We describe sequential and parallel algorithms that approximately solve linear programs with no negative coefficients (a.k.a. mixed packing and covering problems). For explicitly ...
— A method for timing driven placement is presented. The core of the approach is optimal timing-driven relaxed placement based on a linear programming (LP) formulation. The formu...
Qingzhou (Ben) Wang, John Lillis, Shubhankar Sanya...