Deift will describe some recent numerical experiments on the computation of the eigenvalues of a random symmetric matrix. Fix an eigenvalue algorithm and choose an ensemble for the matrices: it turns ...
While the creation of this new entity marks a big step toward avoiding a U.S. ban, as well as easing trade and tech-related tensions between Washington and Beijing, there is still uncertainty ...
The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
ABSTRACT: Variational methods are highly valuable computational tools for solving high-dimensional quantum systems. In this paper, we explore the effectiveness of three variational methods: density ...
In quantum computing, the quantum phase estimation algorithm is a quantum algorithm to estimate the phase corresponding to an eigenvalue of a given unitary operator. Because the eigenvalues of a ...
Abstract: This letter proposes a quaternion projection gradient ascent (QPGA) iterative algorithm based on generalized $\mathbb {HR}$ calculus for computing the principal eigenvalues and its ...
Implementation of the Bathe Subspace Iteration algorithms from the textbook Finite Element Procedures (1996), Table 11.3. A couple of twists have been added, which seem to improve convergence. This ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results