中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
数学与系统科学研究... [11]
国家空间科学中心 [1]
长春光学精密机械与物... [1]
武汉物理与数学研究所 [1]
采集方式
OAI收割 [14]
内容类型
期刊论文 [13]
会议论文 [1]
发表日期
2022 [1]
2021 [2]
2020 [3]
2018 [1]
2017 [1]
2010 [2]
更多
学科主题
微波遥感 [1]
数学 [1]
筛选
浏览/检索结果:
共14条,第1-10条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
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
Large Deviations Principles for Symplectic Discretizations of Stochastic Linear Schrodinger Equation
期刊论文
OAI收割
POTENTIAL ANALYSIS, 2022, 页码: 41
作者:
Chen, Chuchu
;
Hong, Jialin
;
Jin, Diancong
;
Sun, Liying
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2022/04/29
Large deviations principle
Symplectic discretizations
Stochastic Schrodinger equation
Rate function
Exponential tightness
On the small time asymptotics of scalar stochastic conservation laws
期刊论文
OAI收割
APPLICABLE ANALYSIS, 2021, 页码: 25
作者:
Dong, Zhao
;
Zhang, Rangrang
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/04/02
Small time asymptotic
large deviations
scalar stochastic conservation laws
ASYMPTOTICALLY-PRESERVING LARGE DEVIATIONS PRINCIPLES BY STOCHASTIC SYMPLECTIC METHODS FOR A LINEAR STOCHASTIC OSCILLATOR
期刊论文
OAI收割
SIAM JOURNAL ON NUMERICAL ANALYSIS, 2021, 卷号: 59, 期号: 1, 页码: 32-59
作者:
Chen, Chuchu
;
Hong, Jialing
;
Jin, Diancong
;
Sun, Liying
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/04/26
stochastic symplectic methods
superiority
large deviations principle
rate function
asymptotical preservation
3D tamed Navier-Stokes equations driven by multiplicative Levy noise: Existence, uniqueness and large deviations
期刊论文
OAI收割
JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2020, 卷号: 492, 期号: 1, 页码: 48
作者:
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2020/11/18
Stochastic 3D tamed Navier-Stokes equations
Levy noise
Large deviations
Weak convergence method
Large Deviations for Quasilinear Parabolic Stochastic Partial Differential Equations
期刊论文
OAI收割
POTENTIAL ANALYSIS, 2020, 卷号: 53, 期号: 1, 页码: 183-202
作者:
Dong, Zhao
;
Zhang, Rangrang
;
Zhang, Tusheng
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2020/09/23
Freidlin-Wentzell's large deviations
Quailinear stochastic partial differential equations
Weak convergence approach
LARGE DEVIATION PRINCIPLES FOR FIRST-ORDER SCALAR CONSERVATION LAWS WITH STOCHASTIC FORCING
期刊论文
OAI收割
ANNALS OF APPLIED PROBABILITY, 2020, 卷号: 30, 期号: 1, 页码: 324-367
作者:
Dong, Zhao
;
Wu, Jiang-Lun
;
Zhang, Rangrang
;
Zhang, Tusheng
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2020/05/24
Large deviations
first-order conservation laws
weak convergence approach
kinetic solution
On the small-time asymptotics of 3D stochastic primitive equations
期刊论文
OAI收割
MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2018, 卷号: 41, 期号: 16, 页码: 6336-6357
作者:
Dong, Zhao
;
Zhang, Rangrang
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/01/11
large deviations
primitive equation
small-time asymptotics
Large deviation principles for 3D stochastic primitive equations
期刊论文
OAI收割
JOURNAL OF DIFFERENTIAL EQUATIONS, 2017, 卷号: 263, 期号: 5, 页码: 3110-3146
作者:
Dong, Zhao
;
Zhai, Jianliang
;
Zhang, Rangrang
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2018/07/30
Primitive equation
Large deviations
Weak convergence method
MODERATE DEVIATIONS FOR PARAMETER ESTIMATORS IN FRACTIONAL ORNSTEIN-UHLENBECK PROCESS
期刊论文
OAI收割
ACTA MATHEMATICA SCIENTIA, 2010, 卷号: 30, 期号: 4, 页码: 1125-1133
作者:
Gao Fuqing
;
Jiang Hui
;
Wang Baobin
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2015/06/25
Large deviations
moderate deviations
Ornstein-Uhlenbeck process
Measuring instrument for radial composite deviations of high-precision master gear (EI CONFERENCE)
会议论文
OAI收割
6th International Symposium on Precision Engineering Measurements and Instrumentation, August 8, 2010 - August 11, 2010, Hangzhou, China
作者:
Zhang Y.
;
Wang L.
;
Wang L.
;
Wang L.
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2013/03/25
During double flank rolling composite detection
the radial composite deviations of master gears has been existed and transferred to the measured gear by the primary harmonic curve. In order to improve measurement accuracy
a measuring instrument is developed for radial composite deviations of high-precision master gear in the paper. This instrument uses the structure of spring-suspend swing span to overcome the shortcomings of large rotation errors
low sensitivity
low resolution and large measuring force appearing in the traditional combination-type gear inspection instrument. Artificial intelligence technology is used to improve the efficiency and accuracy of this instrument. The result is that the measuring apparatus is able to meet the requirement and improve efficiency through the measuring experiments on master gears of precision grade 2 with modulus 2 mm and 3 mm
respectively. 2010 SPIE.