机构

• 数学与系统科学研究院 [2]
• 地质与地球物理研究所 [1]
• 长春光学精密机械与物... [1]
• 沈阳自动化研究所 [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [4]
• 会议论文 [1]

发表日期

• 2022 [1]
• 2020 [2]
• 2019 [1]
• 2009 [1]

学科主题

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Numerical modeling of North Sulawesi subduction zone: Implications for the east-west differential evolution 期刊论文  OAI收割 TECTONOPHYSICS, 2022, 卷号: 822, 页码: 11 作者:  Song, Taoran;  Hao, Tianyao;  Zhang, Jian;  Cao, Lingmin;  Dong, Miao   |  收藏  |  浏览/下载：22/0  |  提交时间：2022/07/06 North Sulawesi subduction zone  Convergence rate  Differential evolution  Numerical modeling   Absolute continuity and numerical approximation of stochastic Cahn-Hilliard equation with unbounded noise diffusion 期刊论文  OAI收割 JOURNAL OF DIFFERENTIAL EQUATIONS, 2020, 卷号: 269, 期号: 11, 页码: 10143-10180 作者:  Cui, Jianbo;  Hong, Jialin   |  收藏  |  浏览/下载：19/0  |  提交时间：2021/01/14 Stochastic Cahn-Hilliard equation  Unbounded noise diffusion  Malliavin calculus  Numerical approximation  Strong convergence rate   Convergence rate of multiscale finite element method for various boundary problems 期刊论文  OAI收割 JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2020, 卷号: 374, 页码: 8 作者:  Ye, Changqing;  Dong, Hao;  Cui, Junzhi   |  收藏  |  浏览/下载：21/0  |  提交时间：2020/05/24 Multiscale finite element method  Boundary problems  Hemivariational inequality  Homogenization theory  Numerical convergence rate   Rescaled Boosting in Classification 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 9, 页码: 2598-2610 作者:  Wang Y(王尧);  Liao, Xu;  Lin SB(林绍波)   |  收藏  |  浏览/下载：23/0  |  提交时间：2019/09/15 Boosting  generalization error  numerical convergence rate  resealed boosting (RBoosting)   Novel method for optimizing polishing tool-path in CCOS based on weighted-iterative algorithm (EI CONFERENCE) 会议论文  OAI收割 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, November 19, 2008 - November 21, 2008, Chengdu, China 作者:  Zhang X.-J.;  Wang X.;  Wang X.;  Wang X.;  Wang X.-K. 收藏  |  浏览/下载：39/0  |  提交时间：2013/03/25 In Computer Controlled Optical Surfacing (CCOS)  polishing tool-path is the base of solving other control parameters such as dwell time. In order to improve the fabrication results of polishing off-axis aspheric  a novel method to optimize the tool-path is discussed in this paper. The optimizing method named weighted-iterative algorithm is according to the balance principle of the particle system. The power factor of each dwell point represents the requirement of dwell density. Considering the factors which influence the polishing result  the power factors cosist of three elements include constant  error distribution and dwell distance of workpiece edge. The tool-path is solved by numerical iterative method. In the end  an error data is simulated with actual parameters using the matrix-based algorithm with two different tool-paths. The one is X-Y uniform spacing model and the other one is to optimize it based on the first. The comparison shows that the results of the optimized one are much better than traditional one  especially the rms convergence rate. Theory of the algorithm is simple and exercisable  and it satisfies practical requirement as well. 2009 SPIE.