Chlorine atoms (Cl) are highly reactive toward hydrocarbons in the Earth's troposphere,
including the greenhouse gas methane (CH4). However, the regional and global CH4 sink …

Normal modes in internal coordinates (IC) furnish an excellent way to model functional
collective motions of macromolecular machines, but exhibit a high computational cost when …

In many scientific applications, the solution of nonlinear differential equations are obtained
through the setup and solution of a number of successive eigenproblems. These …

The most realistic way to get information about systems is to implement the system
(physically), to interpret obtained results. However, because of some reasons such as …

Solving large-scale eigenvalue problems presents a central problem in many research
fields, such as electronic structure calculation, macromolecular simulations, solid states …

The symmetric generalized eigenvalue problem (SGEP) is a fundamental concept in
numerical linear algebra. It captures the solution of many classical machine learning …

The increasing demand for mobile data has placed significant strain on radio access
networks (RANs), leading to a continuous need for increased network capacity. In keeping …

We introduce a new iterative Krylov subspace-based eigensolver for the simulation of
macromolecular motions on desktop multithreaded platforms equipped with multicore …

Bisection (of a real interval) is a well known algorithm to compute eigenvalues of symmetric
matrices. Given an initial interval [a, b], convergence to an eigenvalue which has size much …

We consider the solution of large-scale eigenvalue problems that appear in the motion
simulation of complex macromolecules on desktop platforms. To tackle the dimension of the …