313 citations · 874 across the 59 of their papers we have counts for
10 papers · 1 filter
Statistical mechanics of digital halftoning
Jun-ichi Inoue, Yohei Saika, Masato Okada
We consider the problem of digital halftoning from the view point of statistical mechanics. The digital halftoning is a sort of image processing, namely, representing each grayscal…
Response of double-auction markets to instantaneous Selling-Buying signals with stochastic Bid-Ask spread
Takero Ibuki, Jun-ichi Inoue
Statistical properties of order-driven double-auction markets with Bid-Ask spread are investigated through the dynamical quantities such as response function. We first attempt to u…
Optimization of artificial flockings by means of anisotropy measurements
Motohiro Makiguchi, Jun-ichi Inoue
An effective procedure to determine the optimal parameters appearing in artificial flockings is proposed in terms of optimization problems. We numerically examine genetic algorithm…
On-line trading as a renewal process: Waiting time and inspection paradox
Jun-ichi Inoue, Naoya Sazuka, Enrico Scalas
We briefly review our recent studies on stochastic processes modelling internet on-line trading. We present a way to evaluate the average waiting time between the observation of th…
Photoinduced transition between conventional and topological insulators in two-dimensional electronic systems
Jun-ichi Inoue, Akihiro Tanaka
Manipulating the topological properties of insulators, encoded in invariants such as the Chern number and its generalizations, is now a major issue for realizing novel charge/spin…
Numerical study on the emergence of anisotropy in artificial flocks: A BOIDS modeling and simulations of empirical findings
Motohiro Makiguchi, Jun-ichi Inoue
In real flocks, it was revealed that the angular density of nearest neighbors shows a strong {\it anisotropic structure} of individuals by very recent extensive field studies by Ba…
A Gibbs distribution that learns from GA dynamics
Manabu Kitagata, Jun-ichi Inoue
A general procedure of average-case performance evaluation for population dynamics such as genetic algorithms (GAs) is proposed and its validity is numerically examined. We introdu…
Simultaneous Bayesian inference of motion velocity fields and probabilistic models in successive video-frames described by spatio-temporal MRFs
Yuya Inagaki, Jun-ichi Inoue
We numerically investigate a mean-field Bayesian approach with the assistance of the Markov chain Monte Carlo method to estimate motion velocity fields and probabilistic models sim…
Deterministic flows of order-parameters in stochastic processes of quantum Monte Carlo method
Jun-ichi Inoue
In terms of the stochastic process of quantum-mechanical version of Markov chain Monte Carlo method (the MCMC), we analytically derive macroscopically deterministic flow equations…
Quantum phase transition in a disordered long-range transverse Ising antiferromagnet
Anjan Kumar Chandra, Jun-ichi Inoue, Bikas K. Chakrabarti
We consider a long-range Ising antiferromagnet put in a transverse field (LRTIAF) with disorder. We have obtained the phase diagrams for both the classical and quantum case. For th…