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20062022
most citedData assimilation for massive autonomous systems based on second-order adjoint method

46 citations · 92 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SP2022★ 6 cited

Observation Site Selection for Physical Model Parameter Estimation toward Process-Driven Seismic Wavefield Reconstruction

Kumi Nakai, Takayuki Nagata, Keigo Yamada +5

The ``big'' seismic data not only acquired by seismometers but also acquired by vibrometers installed in buildings and infrastructure and accelerometers installed in smartphones wi…

physics.geo-ph2021★ 4 cited

Adjoint-based uncertainty quantification for inhomogeneous friction on a slow-slipping fault

Shin-ichi Ito, Masayuki Kano, Hiromichi Nagao

Long-term slow-slip events (LSSEs) usually occur on the deep, shallow parts of subducting plates and have substantial relation with adjacent megathrust fault motion. Conventional t…

cond-mat.stat-mech2020★ 4 cited

A Phase Prediction Method for Pattern Formation in Time-Dependent Ginzburg-Landau Dynamics for Kinetic Ising Model without a priori Assumptions on Domain Patterns

Ryoji Anzaki, Shin-ichi Ito, Hiromichi Nagao +3

We propose a phase prediction method for the pattern formation in the uniaxial two-dimensional kinetic Ising model with the dipole-dipole interactions under the time-dependent Ginz…

physics.geo-ph2020★ 7 cited

Forecasting temporal variation of aftershocks immediately after a main shock using Gaussian process regression

Kosuke Morikawa, Hiromichi Nagao, Shin-ichi Ito +3

Uncovering the distribution of magnitudes and arrival times of aftershocks is a key to comprehend the characteristics of the sequence of earthquakes, which enables us to predict se…

math.NA2019

Adjoint-based exact Hessian computation

Shin-ichi Ito, Takeru Matsuda, Yuto Miyatake

We consider a scalar function depending on a numerical solution of an initial value problem, and its second-derivative (Hessian) matrix for the initial value. The need to extract t…

stat.ME2016★ 46 cited

Data assimilation for massive autonomous systems based on second-order adjoint method

Shin-ichi Ito, Hiromichi Nagao, Akinori Yamanaka +4

Data assimilation (DA) is a fundamental computational technique that integrates numerical simulation models and observation data on the basis of Bayesian statistics. Originally dev…