Academy of Mathematics and Systems Science, CAS
Colloquia & Seminars
| | Speaker: | Dr. Yuto Miyatake, Osaka University
| | Inviter: | | Title:
| Quantifying discretisation errors by isotonic regression and its application to estimating ODE models | Time & Venue:
| 2019.09.09 11:35-12:20 N204 | Abstract:
| One conventional approach of estimating ODE models from noisy observations is to fit numerical solutions of ODEs to data. However, such a method does not account for the discretisation error in numerical solutions and has limited estimation accuracy. In this talk, we present an estimation method with discretisation error quantification. Note that it is hoped that the discretisation error is quantified as efficiently as possible and when a structure-preserving method is employed its structure is effectively used. These are achieved by modelling the discretisation error as random variables and estimating their variances by an isotonic regression algorithm.
This talk is based on joint work with Takeru Matsuda. | |
| |
优惠券领取后72小时内有效，10万种最新考研考试考证类电子打印资料任你选。涵盖全国500余所院校考研专业课、200多种职业资格考试、1100多种经典教材，产品类型包含电子书、题库、全套资料以及视频，无论您是考研复习、考证刷题，还是考前冲刺等，不同类型的产品可满足您学习上的不同需求。 ...考试优惠券 本站小编 Free壹佰分学习网 2022-09-19