中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共8条，第1-8条

帮助

条数/页：排序方式：
	Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems 期刊论文 OAI收割 JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 381, 页码: 110-128 作者: Yan, Liang; Zhou, Tao \| 收藏 \| 浏览/下载：111/0 \| 提交时间：2019/03/11 Bayesian inverse problems Multi-fidelity polynomial chaos Surrogate modeling Markov chain Monte Carlo
	AN ADAPTIVE MULTIFIDELITY PC-BASED ENSEMBLE KALMAN INVERSION FOR INVERSE PROBLEMS 期刊论文 OAI收割 INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, 2019, 卷号: 9, 期号: 3, 页码: 205-220 作者: Yan, Liang; Zhou, Tao \| 收藏 \| 浏览/下载：42/0 \| 提交时间：2020/01/10 Bayesian inverse problems ensemble Kalman inversion multifidelity polynomial chaos surrogate modeling
	Risk Models for the Prize Collecting Steiner Tree Problems with Interval Data 期刊论文 OAI收割 ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2014, 卷号: 30, 期号: 1, 页码: 1-26 作者: AlvarezMiranda Eduardo; CandiaVejar Alfredo; Chen Xujin; Hu Xiaodong; Li Bi \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2021/01/14 SERIES-PARALLEL GRAPHS SHORTEST-PATH PROBLEM COMPUTATIONAL-COMPLEXITY NETWORK OPTIMIZATION CONSTRAINTS ALGORITHMS FLOWS uncertainty modeling prize collecting Steiner tree interval data series-parallel graphs polynomial-time solvability
	Chlorophyll - A vertical distribution of Yantai coastal waters 会议论文 OAI收割 2013 International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2013, Nanjing, China, July 26, 2013 - July 28, 2013 Ma, Wandong(1); Wang, Qiao(1); Wu, Chuanqing(1); Yin, Shoujing(1); Xing, Qianguo(2); Shi, Ping(2); Liu, Dongyan(2) 收藏 \| 浏览/下载：24/0 \| 提交时间：2015/08/10 Chlorophyll Chlorophyll a Coastal waters Gaussian model Negative correlation Polynomial modeling Primary production Vertical direction Vertical distributions
	Generalized profile LSE in varying-coefficient partially linear models with measurement errors 期刊论文 OAI收割 Acta Mathematicae Applicatae Sinica, English Series,, 2013, 卷号: 29, 期号: 3, 页码: 477-490 作者: Ma Yunbei; You Jinhong; Zhou Yong \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2021/01/14 REGRESSION-MODELS VARIABLES INFERENCES Semiparametric modeling varying-coefficient measurement error local polynomial profile least squares asymptotic normality
	Robust univariate spline models for interpolating interval data 期刊论文 OAI收割 OPERATIONS RESEARCH LETTERS, 2011, 卷号: 39, 期号: 1, 页码: 62-66 作者: Averbakh, Igor; Zhao, Yun-Bin \| 收藏 \| 浏览/下载：11/0 \| 提交时间：2018/07/30 Uncertainty modeling Interval data Piecewise polynomial interpolation Spline function Semi-infinite convex optimization
	Seismic waves modeling by convolutional Forsyte polynomial differentiator method 期刊论文 OAI收割 CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2008, 卷号: 51, 期号: 2, 页码: 531-537 作者: Cheng Bing-Jie; Li Xiao-Fan; Long Gui-Hua \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2018/09/26 convolutional Forsyte polynomial differentiator staggered-grid finite-difference complex inhomogeneous media seismic wave field numerical modeling
	Methods for integrated simulation of high-precision space optomechanical systems (EI CONFERENCE) 会议论文 OAI收割 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies, AOMATT 2007: Advanced Optical Manufacturing Technologies, July 8, 2007 - July 12, 2007, Chengdu, China Dong W.; Guang J.; Hong-bo Y. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 Each disciplinary has its own modeling and analysis tools to solve its own specific field problems. In order to achieve integrated simulation of high precision space optical systems and predict optical performance respective to the mechanical and thermal loads data must pass through different analysis tools. Simulation tools used in the thermal structural and optical design process and the relationship among them were first depicted and the integrated simulation methods were described in detail. Zernike polynomial fitting methods and interpolating approaches were also demonstrated. Because of the orthogonality of Zernike polynomials it was not probably used in some situations such as noncircular apertures and discrete data and the coupling of Zernike polynomial coefficients and other methods were also introduced in the paper. The toolkit OMTIA (Optical Mechanical and Thermal Integrated Analyzer) based on the methods was developed which appears as an indispensable tool for engineering practice.