kitaev_clusters is a Python package designed for efficient Exact Diagonalization of the spin-1 Kitaev honeycomb model on finite-size clusters. This package contains a variety of functions which ...
The problem of joint approximate diagonalization of symmetric real matrices is addressed. It is reduced to an optimization problem with the restriction that the matrix of the similarity transformation ...
Vollgraf, Roland, and Klaus Obermayer. "Quadratic optimization for simultaneous matrix diagonalization." IEEE Transactions on Signal Processing 54.9 (2006): 3270-3278 ...
Abstract: Simultaneous diagonalization of a set of matrices is a technique that has numerous applications in statistical signal processing and multivariate statistics. Although objective functions in ...
In the field of blind source separation, Jacobi-like diagonalization-based approaches constitute an important tool for independent component analysis (ICA). Recently, simultaneous diagonalization of ...
Abstract: Channel impairments and additive noise tend to introduce distortion in the transmitted data, so that it cannot be perfectly recovered at the receiver. Several channel equalization techniques ...
Graphical representations provide us with a tool allowing visual inspection of the sequences. To visualize and compare different DNA sequences, a novel alignment-free method is proposed in this paper ...
ABSTRACT: A modal identification algorithm is developed, combining techniques from Second Order Blind Source Separation (SOBSS) and State Space Realization (SSR) theory. In this hybrid algorithm, a ...
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 ...