The eigenvalue complementarity problem (EiCP) represents a class of mathematical challenges where the determination of eigenvalues and corresponding eigenvectors is constrained by complementarity ...
Abstract: Understanding the localization properties of eigenvectors of complex networks is important to get insight into various structural and dynamical properties of the corresponding systems. Here, ...
Abstract: In this letter, considering the effectiveness of 2-D principal component analysis (2DPCA) on the exploration of local spatial relationships, a reconstruction-based 2DPCA (Rec-2DPCA) ...
Course objectives Broad objectives: To prepare students to become data scientists who actively engage with the math that underlies important methods, By knowing the mathematical notation, operations, ...
See [1, Section 4] to learn how to use the software, or check our Jupyter notebook available at /example/demo EigenvalueSolver.ipynb. [1] Bender, M.R. and Telen, S., 2021. Yet another eigenvalue ...
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