Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Takehiro Azuma
Towards an Effective Importance Sampling in Monte Carlo Simulations of a System With a Complex Action
Perturbative Dynamics of Fuzzy Spheres at Large N
Journal of High Energy Physics
High Energy Physics
Nuclear
Related publications
Importance Sampling in Stochastic Programming: A Markov Chain Monte Carlo Approach
INFORMS Journal on Computing
Management Science
Computer Science Applications
Information Systems
Operations Research
Software
Application of Importance Sampling to Basis Quantum Monte Carlo Method
Journal of Computer Chemistry, Japan
A Monte Carlo Simulation of the Flow Network Reliability Using Importance and Stratified Sampling
RAIRO - Operations Research
Management Science
Computer Science Applications
Operations Research
Theoretical Computer Science
Enhanced Sampling of an Atomic Model With Hybrid Nonequilibrium Molecular Dynamics—Monte Carlo Simulations Guided by a Coarse-Grained Model
Journal of Chemical Theory and Computation
Theoretical Chemistry
Computer Science Applications
Physical
Nearly Optimal Importance Sampling for Monte Carlo Simulation of Loss Systems
ACM Transactions on Modeling and Computer Simulation
Modeling
Computer Science Applications
Simulation
Monte Carlo Device Simulations
A Comparison of ERBS Spectra of Compounds With Monte Carlo Simulations
Surface and Interface Analysis
Surfaces
Condensed Matter Physics
Interfaces
Materials Chemistry
Films
Coatings
Chemistry
Monte Carlo Simulations of Complex Formation Between a Mixed Fluid Vesicle and a Charged Colloid
Journal of Chemical Physics
Medicine
Theoretical Chemistry
Astronomy
Physics
Physical
An Efficient Sampling Algorithm for Variational Monte Carlo
Journal of Chemical Physics
Medicine
Theoretical Chemistry
Astronomy
Physics
Physical