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	Universal potential estimates for 1 < p <= 2-1 dagger n 期刊论文 OAI收割 MATHEMATICS IN ENGINEERING, 2023, 卷号: 5, 期号: 3, 页码: 1-24 作者: Nguyen, Quoc-Hung; Phuc, Nguyen Cong \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2023/02/07 pointwise estimate potential estimate Wolff?s potential Riesz?s potential fractional maximal function Caldero?n space p-Laplacian quasilinear equation measure data
	On the regularity of the maximal function of a BV function 期刊论文 OAI收割 JOURNAL OF DIFFERENTIAL EQUATIONS, 2021, 卷号: 300, 页码: 53-79 作者: Lahti, Panu \| 收藏 \| 浏览/下载：8/0 \| 提交时间：2022/04/02 Function of bounded variation Sobolev function Non-centered maximal function Quasicontinuity Absolute continuity
	A note on hardy-littlewood maximal operators 期刊论文 iSwitch采集 Journal of inequalities and applications, 2016, 卷号: 2016, 期号: 1 作者: Wei,Mingquan; Nie,Xudong; Wu,Di; Yan,Dunyan 收藏 \| 浏览/下载：36/0 \| 提交时间：2019/05/09 Hardy-littlewood maximal function Truncated operator Lp\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$l^{p}$\end{document} norm Weak (1,1)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$(1,1)$\end{document} norm Iterated hardy-littlewood maximal function
	ATOMIC DECOMPOSITION OF REAL-VARIABLE TYPE FOR BERGMAN SPACES IN THE UNIT BALL OF C-n 期刊论文 OAI收割 PUBLICACIONS MATEMATIQUES, 2014, 卷号: 58, 期号: 2, 页码: 353-377 作者: Chen, Zeqian; Ouyang, Wei 收藏 \| 浏览/下载：22/0 \| 提交时间：2015/06/24 Bergman space atomic decomposition Bergman kernel homogeneous space maximal function
	Efficacy of mouth opening exercises in treating trismus after maxillectomy 期刊论文 OAI收割 CHINESE MEDICAL JOURNAL, 2013, 卷号: 126 - \| 收藏 \| 浏览/下载：13/0 \| 提交时间：2020/10/26 PULMONARY-FUNCTION NECK-CANCER HEAD ONCOLOGY maxillary tumor trismus TheraBite system maximal interincisor distance
	Modular aircraft simulation platform based on simulink (EI CONFERENCE) 会议论文 OAI收割 2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010, August 4, 2010 - August 7, 2010, Xi'an, China Chen C.-Q.; Ji Y. 收藏 \| 浏览/下载：25/0 \| 提交时间：2013/03/25 Aircraft simulation platform is the most important supporting technology in the aircraft development process. This simulation platform can be used for validating the design of subsystem and also it provides the necessary data for the Aircraft design. Wind has great impact on the flight parameter. In order to accurately simulate the wind model and calculate the flight parameters a simulation modeling method for flight parameter simulation platform under wind field environment is established. Firstly the various sub-systems which affecting flight parameters are analyzed some mathematical models of the flight parameter simulation platform is established. Secondly the atmospheric wind field is studied to analyze the impact on its trajectory. Then the model is built in the Simulink toolbox in the Matlab which is based on the principles of hierarchy and modularity using C MEX S-function for the complex kinetic equations. Finally when the models have been established encapsulating models for several subsystem and assembling them for the Aircraft simulation platform based on the unified interface. The simulation tests (including the performance test of a certain gliding Aircraft the wind influence test of a certain uncontrolled aircraft) prove the simulation capability of the platform and its calculating step can reach 1 ms. Comparing simulation with field test data of a certain uncontrolled aircraft it shows that the relative deviation of range is 0.47% the relative deviation of maximal altitude is 2.1%. Taking relevant standards as a reference standard it is demonstrated the platform is reliable meets the engineering accuracy requirements. 2010 IEEE.
	Optimizing control mode of optical payloads based on multi-population genetic algorithm (EI CONFERENCE) 会议论文 OAI收割 2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009, August 9, 2009 - August 12, 2009, Changchun, China Xu W.; Jin G. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 Optimizing the control mode of optical payload could improve the payload's work efficiency. When the mathematic model of payload's control mode was established optimization problems could be boiled down to seek the maximal value of the function with many variables. This paper put forward a calculational method to base the mathematic model the calculational method was multi-population genetic algorithm (MPGA). After the 0-1 variables and real multidimensional ones had been coded separately the algorithm established the populations independently made the multidimensional variables as the centrosome and combined 0-1 ones to work out the maximal value of the function which was established to describe the control mode of the optical payload. Moreover the emulational experiment had been done with the material arithmetic operators. The result indicates that the method using MPGA can hurdle the disadvantage of traditional ones which calculate slowly and get into local best value trap easily . It has the characters that not only fits large scale area scout but also gets the best value in full scale rapidly so this algorithm can better satisfy the technology demand for the intelligent control of optical payload. 2009 IEEE.
	Generalized minimax inequalities for set-valued mappings 期刊论文 OAI收割 JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2003, 卷号: 281, 期号: 2, 页码: 707-723 作者: Li, SJ; Chen, GY; Teo, KL; Yang, XQ \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2018/07/30 minimax inequality set-valued mapping minimal point maximal point nonlinear scalarization function
	MARTINGALE TRANSFORMS WITH UNBOUNDED MULTIPLIERS 期刊论文 OAI收割 PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY, 1992, 卷号: 114, 期号: 3, 页码: 831-838 作者: CHAO, JA; LONG, RL \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2018/07/30 MARTINGALE TRANSFORM HARDY SPACES MAXIMAL FUNCTION SQUARE FUNCTIONS BMO EXTRAPOLATION