Approximate resolution of linear systems of differential equations with varying coefficients is
a recurrent problem, shared by a number of scientific and engineering areas, ranging from …

The techniques and analysis presented in this paper provide new methods to solve
optimization problems posed on Riemannian manifolds. A new point of view is offered for …

This work is aimed at mathematics and engineering graduate students and researchers in
the areas of optimization, dynamical systems, control sys tems, signal processing, and linear …

Most existing hashing methods adopt some projection functions to project the original data
into several dimensions of real values, and then each of these projected dimensions is …

Tight frames, also known as general Welch-bound-equality sequences, generalize
orthonormal systems. Numerous applications-including communications, coding, and …

Inverse eigenvalue problems arise in a remarkable variety of applications and associated
with any inverse eigenvalue problem are two fundamental questions—the theoretical issue …

A collection of inverse eigenvalue problems are identified and classified according to their
characteristics. Current developments in both the theoretic and the algorithmic aspects are …

We prove that if two smooth manifolds intersect transversally, then the method of alternating
projections converges locally at a linear rate. We bound the speed of convergence in terms …

The driven similarity renormalization group (DSRG) provides an alternative way to address
the intruder state problem in quantum chemistry. In this review, we discuss recent …

Quantum speed limits (QSLs) provide lower bounds on the minimum time required for a
process to unfold by using a distance between quantum states and identifying the speed of …