计算效率低一直以来都是SPH方法(光滑粒子流体动力学方法)发展过程中面临的技术难题,而变光滑长度SPH方法既可以提高粒子非均匀分布时核函数计算精度,又能保证邻近粒子相互作用的对称匹配,因此对提高计算效率十分有益。本文采用空间变...计算效率低一直以来都是SPH方法(光滑粒子流体动力学方法)发展过程中面临的技术难题,而变光滑长度SPH方法既可以提高粒子非均匀分布时核函数计算精度,又能保证邻近粒子相互作用的对称匹配,因此对提高计算效率十分有益。本文采用空间变光滑长度SPH方法,并提出了一种新型的高效、高鲁棒性搜索方法,即平衡型树形搜索法(balanced alternative digital tree search algorithm,B-ADT),开展了二维楔形体入水冲击问题的应用研究,模拟结果显示文中所采用的空间变光滑长度SPH方法和平衡型树形搜索法,在保证计算精度的情况下,可以有效提高计算效率,这为下一步开展复杂工程应用打下重要基础。展开更多
基于非光滑变尺度SD(smooth and discontinuous)极限系统的非线性拓扑特性,优化了非光滑变尺度凸峰频率识别法,并将其应用到了轴承早期故障信号检测中。利用类同宿轨的周期性,推导了非光滑随机类次谐Melnikov函数,给出了均方意义下出现...基于非光滑变尺度SD(smooth and discontinuous)极限系统的非线性拓扑特性,优化了非光滑变尺度凸峰频率识别法,并将其应用到了轴承早期故障信号检测中。利用类同宿轨的周期性,推导了非光滑随机类次谐Melnikov函数,给出了均方意义下出现简单零点的充分必要条件,揭示了初始相位和噪声耦合因素对变尺度SD极限系统混沌阈值的影响。经数值模拟,发现微弱信号初始相位的存在会导致非光滑变尺度凸峰法识别频率时出现偏差或不可识别。当频率识别出现偏差时,利用数据的几何特性给出一个线性修正公式;当频率不可识别时,构造了检测方程组,使凸峰频率识别法依然有效。通过一个高速列车轮对轴承早期故障实例,运用优化非光滑变尺度凸峰频率识别法,确定了轮对轴承可能发生故障的位置。结果显示优化的非光滑变尺度凸峰频率识别法可更准确识别轮对轴承早期故障信号的频率,方法简单且精度较高。展开更多
The generalized complementarity problem includes the well-known nonlinear complementarity problem and linear complementarity problem as special cases.In this paper, based on a class of smoothing functions, a smoothing...The generalized complementarity problem includes the well-known nonlinear complementarity problem and linear complementarity problem as special cases.In this paper, based on a class of smoothing functions, a smoothing Newton-type algorithm is proposed for solving the generalized complementarity problem.Under suitable assumptions, the proposed algorithm is well-defined and global convergent.展开更多
A convex variational formulation is proposed to solve multicomponent signal processing problems in Hilbert spaces.The cost function consists of a separable term, in which each component is modeled through its own pote...A convex variational formulation is proposed to solve multicomponent signal processing problems in Hilbert spaces.The cost function consists of a separable term, in which each component is modeled through its own potential,and of a coupling term, in which constraints on linear transformations of the components are penalized with smooth functionals.An algorithm with guaranteed weak convergence to a solution to the problem is provided.Various multicomponent signal decomposition and recovery applications are discussed.展开更多
This paper deals with a new class of nonlinear set valued implicit variational inclusion problems involving (A, η)-monotone mappings in 2-uniformly smooth Banach spaces. Semi-inner product structure has been used t...This paper deals with a new class of nonlinear set valued implicit variational inclusion problems involving (A, η)-monotone mappings in 2-uniformly smooth Banach spaces. Semi-inner product structure has been used to study the (A, η)-monotonicity. Using the generalized resolvent operator technique and the semi-inner product structure, the approximation solvability of the proposed problem is investigated. An iterative algorithm is constructed to approximate the solution of the problem. Convergence analysis of the proposed algorithm is investigated. Similar results are also investigated for variational inclusion problems involving (H, η)-monotone mappings.展开更多
We propose a new functional single index model, which called dynamic single-index model for functional data, or DSIM, to efficiently perform non-linear and dynamic relationships between functional predictor and functi...We propose a new functional single index model, which called dynamic single-index model for functional data, or DSIM, to efficiently perform non-linear and dynamic relationships between functional predictor and functional response. The proposed model naturally allows for some curvature not captured by the ordinary functional linear model. By using the proposed two-step estimating algorithm, we develop the estimates for both the link function and the regression coefficient function, and then provide predictions of new response trajectories. Besides the asymptotic properties for the estimates of the unknown functions, we also establish the consistency of the predictions of new response trajectories under mild conditions. Finally, we show through extensive simulation studies and a real data example that the proposed DSIM can highly outperform existed functional regression methods in most settings.展开更多
In this paper we present an L2-theory for a class of stochastic partial differential equations driven by Levy processes. The coefficients of the equations are random functions depending on time and space variables, an...In this paper we present an L2-theory for a class of stochastic partial differential equations driven by Levy processes. The coefficients of the equations are random functions depending on time and space variables, and no smoothness assumption of the coefficients is assumed.展开更多
文摘计算效率低一直以来都是SPH方法(光滑粒子流体动力学方法)发展过程中面临的技术难题,而变光滑长度SPH方法既可以提高粒子非均匀分布时核函数计算精度,又能保证邻近粒子相互作用的对称匹配,因此对提高计算效率十分有益。本文采用空间变光滑长度SPH方法,并提出了一种新型的高效、高鲁棒性搜索方法,即平衡型树形搜索法(balanced alternative digital tree search algorithm,B-ADT),开展了二维楔形体入水冲击问题的应用研究,模拟结果显示文中所采用的空间变光滑长度SPH方法和平衡型树形搜索法,在保证计算精度的情况下,可以有效提高计算效率,这为下一步开展复杂工程应用打下重要基础。
文摘基于非光滑变尺度SD(smooth and discontinuous)极限系统的非线性拓扑特性,优化了非光滑变尺度凸峰频率识别法,并将其应用到了轴承早期故障信号检测中。利用类同宿轨的周期性,推导了非光滑随机类次谐Melnikov函数,给出了均方意义下出现简单零点的充分必要条件,揭示了初始相位和噪声耦合因素对变尺度SD极限系统混沌阈值的影响。经数值模拟,发现微弱信号初始相位的存在会导致非光滑变尺度凸峰法识别频率时出现偏差或不可识别。当频率识别出现偏差时,利用数据的几何特性给出一个线性修正公式;当频率不可识别时,构造了检测方程组,使凸峰频率识别法依然有效。通过一个高速列车轮对轴承早期故障实例,运用优化非光滑变尺度凸峰频率识别法,确定了轮对轴承可能发生故障的位置。结果显示优化的非光滑变尺度凸峰频率识别法可更准确识别轮对轴承早期故障信号的频率,方法简单且精度较高。
基金The National Science Foundation of China(No.11171363)the Special Fund of Chongqing Key Laboratory(No.CSTC2011KLORSE02)the Education Committee Research Foundation of Chongqing(No.KJ110625)
基金Supported by LIU Hui Centre for Applied Mathematics of Nankai University and Tianjin University
文摘The generalized complementarity problem includes the well-known nonlinear complementarity problem and linear complementarity problem as special cases.In this paper, based on a class of smoothing functions, a smoothing Newton-type algorithm is proposed for solving the generalized complementarity problem.Under suitable assumptions, the proposed algorithm is well-defined and global convergent.
基金supported by the Agence Nationale de la Recherche under grant ANR-08-BLAN-0294-02
文摘A convex variational formulation is proposed to solve multicomponent signal processing problems in Hilbert spaces.The cost function consists of a separable term, in which each component is modeled through its own potential,and of a coupling term, in which constraints on linear transformations of the components are penalized with smooth functionals.An algorithm with guaranteed weak convergence to a solution to the problem is provided.Various multicomponent signal decomposition and recovery applications are discussed.
文摘This paper deals with a new class of nonlinear set valued implicit variational inclusion problems involving (A, η)-monotone mappings in 2-uniformly smooth Banach spaces. Semi-inner product structure has been used to study the (A, η)-monotonicity. Using the generalized resolvent operator technique and the semi-inner product structure, the approximation solvability of the proposed problem is investigated. An iterative algorithm is constructed to approximate the solution of the problem. Convergence analysis of the proposed algorithm is investigated. Similar results are also investigated for variational inclusion problems involving (H, η)-monotone mappings.
基金supported by National Natural Science Foundation of China (Grant No. 11271080)
文摘We propose a new functional single index model, which called dynamic single-index model for functional data, or DSIM, to efficiently perform non-linear and dynamic relationships between functional predictor and functional response. The proposed model naturally allows for some curvature not captured by the ordinary functional linear model. By using the proposed two-step estimating algorithm, we develop the estimates for both the link function and the regression coefficient function, and then provide predictions of new response trajectories. Besides the asymptotic properties for the estimates of the unknown functions, we also establish the consistency of the predictions of new response trajectories under mild conditions. Finally, we show through extensive simulation studies and a real data example that the proposed DSIM can highly outperform existed functional regression methods in most settings.
基金supported by National Science Foundation of US (Grant No. DMS-0906743)the National Research Foundation of Korea (Grant No. 20110027230)
文摘In this paper we present an L2-theory for a class of stochastic partial differential equations driven by Levy processes. The coefficients of the equations are random functions depending on time and space variables, and no smoothness assumption of the coefficients is assumed.