Abstract: Matrix diagonalization (or termed, matrix eigen-decomposition) is a vital part of matrix theory. Different from static matrix diagonalization problem, in this paper, the more challenging ...

Vollgraf, Roland, and Klaus Obermayer. "Quadratic optimization for simultaneous matrix diagonalization." IEEE Transactions on Signal Processing 54.9 (2006): 3270-3278 ...

Abstract: Recent research has shown that the joint analysis of heterogeneous data can be beneficial to understand the underlying structure of the data compared to a separate analysis. This research ...

This is a preview. Log in through your library . Abstract Diagonalization is a proof technique that formal learning theorists use to show that inductive problems are unsolvable. The technique ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

The ramifications of the Car–Parrinello method, a 25-year-old unified approach to computing properties of materials from first principles, have reached out well-beyond materials science. CPMD relies ...

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 ...