“Shrinking bull’s-eye” algorithm speeds up complex modeling from days to hours

To work with computational models is to work in a world of unknowns: Models that simulate complex physical processes — from Earth’s changing climate to the performance of hypersonic combustion engines — are staggeringly complex, sometimes incorporating hundreds of parameters, each of which describes a piece of the larger process. Parameters are often question marks within their models, their contr

[suzukiMY]

『マルコフ連鎖モンテカルロ法（MCMC）を現在よりも最大で200倍高速化できるアルゴリズムを開発』