High-Order Steady-State Diffusion Approximations

IF 0.7 4区 管理学 Q3 Engineering
Anton Braverman, Jim Dai, Xiao Fang
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引用次数: 9

Abstract

Much like higher-order Taylor expansions allow one to approximate functions to a higher degree of accuracy, we demonstrate that, by accounting for higher-order terms in the Taylor expansion of a Markov process generator, one can derive novel diffusion approximations that achieve a higher degree of accuracy compared with the classical ones used in the literature over the last 50 years.
高阶稳态扩散近似
就像高阶泰勒展开式允许人们以更高的精度近似函数一样,我们证明,通过在马尔可夫过程生成器的泰勒展开式中考虑高阶项,可以推导出与过去50年来文献中使用的经典扩散近似相比具有更高精度的新型扩散近似。
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来源期刊
Military Operations Research
Military Operations Research 管理科学-运筹学与管理科学
CiteScore
1.00
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Military Operations Research is a peer-reviewed journal of high academic quality. The Journal publishes articles that describe operations research (OR) methodologies and theories used in key military and national security applications. Of particular interest are papers that present: Case studies showing innovative OR applications Apply OR to major policy issues Introduce interesting new problems areas Highlight education issues Document the history of military and national security OR.
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