Dr. Avi Perry is a former professor at Northwestern University, telecommunications executive, and technology innovator with a Ph.D. in Operations Research and Statistics. He worked at Bell Labs and ...

Abstract: Conjugate gradient (CG) methods are a class of important methods for solving linear equations and nonlinear optimization problems. In this paper, we propose a new stochastic CG algorithm ...

Guaranteed-Quality Anisotropic Mesh Generation. If you're in Soda Hall, you'll find copies of most of my papers hanging outside my office (625). Take the ones you want. FAR AND AWAY MY MOST POPULAR ...

Abstract: Kernel methods have been successfully applied to nonlinear problems in machine learning and signal processing. Various kernel-based algorithms have been proposed over the last two decades.

liblcg is an efficient and extensible C++ linear conjugate gradient algorithm library. On the basis of the native data structure interface, it also provides algorithm interfaces based on Eigen3 and ...

Bacterial conjugation is a process in which bacteria exchange DNA upon contact. Different environments present cells with different encounter rates, setting physical limits on the conjugation rate, ...

This paper proposes a family of line-search methods to deal with weighted orthogonal procrustes problems. In particular, the proposed family uses a search direction based on a convex combination ...

Least-squares reverse-time migration (LSRTM) can overcome the problems of low resolution and unbalanced amplitude energy of deep formation imaging in reverse-time migration (RTM); hence, it can obtain ...

A gradient preconditioning approach based on transmitted wave energy for least-squares reverse time migration (LSRTM) is proposed in this study. The gradient is preconditioned by using the energy of ...