High-Order Steady-State Diffusion Approximations
| Autor: | Anton Braverman, J. G. Dai, Xiao Fang |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Operations Research. |
| ISSN: | 1526-5463 0030-364X |
| DOI: | 10.1287/opre.2022.2362 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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