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math.OC2024
NOMADS: Non-Markovian Optimization-based Modeling for Approximate Dynamics with Spatially-homogeneous Memory
Ryoji Anzaki, Kazuhiro Sato
We propose a system identification method, Non-Markovian Optimization-based Modeling for Approximate Dynamics with Spatially-homogeneous memory (NOMADS), for identifying linear dyn…
math.OC2024★ 3 cited
Uniqueness Analysis of Controllability Scores and Their Application to Brain Networks
Kazuhiro Sato, Ryohei Kawamura
Assessing centrality in network systems is critical for understanding node importance and guiding decision-making processes. In dynamic networks, incorporating a controllability pe…
math.OC2024
The Nearest Graph Laplacian in Frobenius Norm
Kazuhiro Sato, Masato Suzuki
We address the problem of finding the nearest graph Laplacian to a given matrix, with the distance measured using the Frobenius norm. Specifically, for the directed graph Laplacian…