Smooth support vector machine (SSVM) changs the normal support vector machine (SVM) into the unconstrained op- timization by using the smooth sigmoid function. The method can be solved under the Broyden-Fletcher-G...Smooth support vector machine (SSVM) changs the normal support vector machine (SVM) into the unconstrained op- timization by using the smooth sigmoid function. The method can be solved under the Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm and the Newdon-Armijio (NA) algorithm easily, however the accuracy of sigmoid function is not as good as that of polyno- mial smooth function. Furthermore, the method cannot reduce the influence of outliers or noise in dataset. A fuzzy smooth support vector machine (FSSVM) with fuzzy membership and polynomial smooth functions is introduced into the SVM. The fuzzy member- ship considers the contribution rate of each sample to the optimal separating hyperplane and makes the optimization problem more accurate at the inflection point. Those changes play a positive role on trials. The results of the experiments show that those FSSVMs can obtain a better accuracy and consume the shorter time than SSVM and lagrange support vector machine (LSVM).展开更多
In this paper,the kernel of the cubic spline interpolation is given.An optimal error bound for the cu- bic spline interpolation of lower smooth functions is obtained.
In this paper,we study smoothing approximations for some piecewise smooth functions.We first present two approaches for one-dimensional case:a global approach is to construct smoothing approximations over the whole do...In this paper,we study smoothing approximations for some piecewise smooth functions.We first present two approaches for one-dimensional case:a global approach is to construct smoothing approximations over the whole domain and a local approach is to construct smoothing approximations within appropriate neighborhoods of the nonsmooth points.We obtain some error estimate results for both approaches and discuss whether the smoothing approximations can inherit the convexity of the original functions.Furthermore,we extend the global approach to some multiple dimensional cases.展开更多
The paper uses Euclidean Jordan algebras as a basic tool to extend smoothing functions, which include the Chen-Mangasarian class and the Fischer-Burmeister smoothing functions, to symmetric cone complementarity proble...The paper uses Euclidean Jordan algebras as a basic tool to extend smoothing functions, which include the Chen-Mangasarian class and the Fischer-Burmeister smoothing functions, to symmetric cone complementarity problems. Computable formulas for these functions and their Jacobians are derived. In addition, it is shown that these functions are Lipschitz continuous with respect to parameter # and continuously differentiable on J × J for any μ 〉 0.展开更多
A new smooth gap function for the box constrained variational inequality problem (VIP) is proposed based on an integral global optimality condition. The smooth gap function is simple and has some good differentiable...A new smooth gap function for the box constrained variational inequality problem (VIP) is proposed based on an integral global optimality condition. The smooth gap function is simple and has some good differentiable properties. The box constrained VIP can be reformulated as a differentiable optimization problem by the proposed smooth gap function. The conditions, under which any stationary point of the optimization problem is the solution to the box constrained VIP, are discussed. A simple frictional contact problem is analyzed to show the applications of the smooth gap function. Finally, the numerical experiments confirm the good theoretical properties of the method.展开更多
This paper is aimed at the derivation of a discrete data smoothing function for the discrete Dirichlet condition in a regular grid on the surface of a spheroid.The method employed here is the local L^2-seminorm minimi...This paper is aimed at the derivation of a discrete data smoothing function for the discrete Dirichlet condition in a regular grid on the surface of a spheroid.The method employed here is the local L^2-seminorm minimization,through Euler-Lagrange method,for the Beltrami operator.The method results in a weighted average of the surrounding points in a te mplate based on the first order Taylor expansion of the unknown function under consideration.The coefficients of the weighted average are calculated and used to smooth the Geoid height data in Iran,derived from the EGM2008 geopotential model.展开更多
Objective:To investigate the effect of Chaihu Shugan decoction(CSD)on gastric smooth muscle cells(GSMCs)apoptosis in rats with functional dyspepsia(FD).Methods:48Sprague-Dawley(SD)rats were randomly assigned into six ...Objective:To investigate the effect of Chaihu Shugan decoction(CSD)on gastric smooth muscle cells(GSMCs)apoptosis in rats with functional dyspepsia(FD).Methods:48Sprague-Dawley(SD)rats were randomly assigned into six groups:a normal control group,a model group,apositive control(domperidone)group and low-,middle-and high-dose CSD groups.A rat model of FD was established by constantly squeezing their tails.The rats were administered CSD(0.16g/mL,0.32g/mL,0.64g/mL)or domperidone(0.3 g/L)via intragastric gavage for four weeks.The gastric emptying rate was detected at 4 weeks post-administration.Apoptosis of GSMCs was determined by terminal deoxynucleotidyl transferase dUTP nick end labeling(TUNEL)staining and the mitochondrial morphology was observed by transmission electron microscopy.The expression of Bcl-2and Bax was measured by immunohistochemistry.Results:FD resulted in marked reduction of gastric emptying rate,severe gastric tissue damage and mitochondria injury,but were reversed by CSD treatment(P<0.05).The apoptosis-induced protein Bax was markedly down-regulated by CSD,whereas the expression of the anti-apoptotic Bcl-2 protein was notably increased(P<0.05).Furthermore,CSD could protect the FD rats against GSMCs apoptosis manifested by a decreased in TUNEL-positive cells(P<0.05).Conclusion:CSD could alleviate GSMCs apoptosis in FD rats,possibly by the modulation of Bcl-2 and Bax expression,and the suppression of mitochondria injury.展开更多
In this note, we establish a new formulation of smoothness conditions for piecewise polynomial (: =pp) functions in terms of the B-net representation in the general n-dimensional setting. It plays an important role fo...In this note, we establish a new formulation of smoothness conditions for piecewise polynomial (: =pp) functions in terms of the B-net representation in the general n-dimensional setting. It plays an important role for 2-dimensional setting in the constructive proof of the fact that the spaces of polynomial splines with smoothness rand total degree k≥3r+2 over arbitrary triangulations achieve the optimal approximation order with the approximation constant depending only on k and the smallest angle of the partition in [5].展开更多
In this paper.we consider the approximation in the Lq(■)metric for some function classes with a certain mixed smoothness defined on■by the subspaces of Lq(■)which consist of entire functions whose spectrals l...In this paper.we consider the approximation in the Lq(■)metric for some function classes with a certain mixed smoothness defined on■by the subspaces of Lq(■)which consist of entire functions whose spectrals lie in some step hyperbolic crosses,and obtain some asymptotic estimates for the best approximation quantities.展开更多
We propose a new unified path to approximately smoothing the nonsmooth exact penalty function in this paper. Based on the new smooth penalty function, we give a penalty algorithm to solve the constrained optimization ...We propose a new unified path to approximately smoothing the nonsmooth exact penalty function in this paper. Based on the new smooth penalty function, we give a penalty algorithm to solve the constrained optimization problem, and discuss the convergence of the algorithm under mild conditions.展开更多
A Smooth Particle Hydrodynamics(SPH)method is employed to simulate the two-phase flow of oil and water in a reservoir.It is shown that,in comparison to the classical finite difference approach,this method is more stab...A Smooth Particle Hydrodynamics(SPH)method is employed to simulate the two-phase flow of oil and water in a reservoir.It is shown that,in comparison to the classical finite difference approach,this method is more stable and effective at capturing the complex evolution of this category of two-phase flows.The influence of several smooth functions is explored and it is concluded that the Gaussian function is the best one.After 200 days,the block water cutoff for the Gaussian function is 0.3,whereas the other functions have a block water cutoff of 0.8.The effect of various injection ratios on real reservoir production is explored.When 14 and 8 m3/day is employed,the water breakthrough time is 130 and 170 days,respectively,and the block produces 9246 m3 and 6338 m3 of oil cumulatively over 400 days.展开更多
针对现有波达方向(direction of arrival,DOA)估计算法无法同时抑制α稳定分布噪声和高斯色噪声问题,提出了一种基于分数阶累积量和加权双曲复合函数的平滑l0范数的DOA估计算法。首先,利用分数阶累积量的半不变性以及对α稳定分布和...针对现有波达方向(direction of arrival,DOA)估计算法无法同时抑制α稳定分布噪声和高斯色噪声问题,提出了一种基于分数阶累积量和加权双曲复合函数的平滑l0范数的DOA估计算法。首先,利用分数阶累积量的半不变性以及对α稳定分布和高斯分布不敏感的特性,抑制α稳定分布和高斯色噪声。然后,将分数阶累积量矩阵进行向量化处理,并推导出基于分数阶累积量的稀疏DOA重构模型。最后,构造双曲复合函数对l0范数进行平滑逼近,并通过调节逼近因子实现平滑性与陡峭性的自适应权衡。同时,引入加权矩阵,对真实信号源对应位置进行加权增强,其余位置权值被抑制,进一步突出稀疏解的结构特征。在此基础上,采用梯度下降与投影相结合的双层迭代策略求解加权平滑l0优化问题,从而获得目标信号的DOA值。仿真实验结果表明,在α稳定分布与高斯色噪声混合且混合信噪比低至0的条件下,所提算法DOA估计的均方根误差为0.5164°,充分验证了其在复杂噪声背景下的有效性和高精度。展开更多
Let M(u) be an N function, A=D r+∑r-1k=0a k(x)D k a linear differential operator and W M(A) the Sobolev Orlicz class defined by M(u) and A. In this paper we give the asymptotic estimates of the n K width d n(W M(...Let M(u) be an N function, A=D r+∑r-1k=0a k(x)D k a linear differential operator and W M(A) the Sobolev Orlicz class defined by M(u) and A. In this paper we give the asymptotic estimates of the n K width d n(W M(A),L 2[0,1]) .展开更多
Support vector machines (SVMs) have been extensively studied and have shown remarkable success in many applications. A new family of twice continuously differentiable piecewise smooth functions are used to smooth th...Support vector machines (SVMs) have been extensively studied and have shown remarkable success in many applications. A new family of twice continuously differentiable piecewise smooth functions are used to smooth the objective function of uncon- strained SVMs. The three-order piecewise smooth support vector machine (TPWSSVMd) is proposed. The piecewise functions can get higher and higher approximation accuracy as required with the increase of parameter d. The global convergence proof of TPWSSVMd is given with the rough set theory. TPWSSVMd can efficiently handle large scale and high dimensional problems. Nu- merical results demonstrate TPWSSVMa has better classification performance and learning efficiency than other competitive base- lines.展开更多
Let M(u) be an N function, A=D r+∑r-1k=0a k(x)D k a linear differential operator and W M(A) the Sobolev Orlicz class defined by M(u) and A. In this paper we give the asymptotic estimates of the n K width d n(W M(...Let M(u) be an N function, A=D r+∑r-1k=0a k(x)D k a linear differential operator and W M(A) the Sobolev Orlicz class defined by M(u) and A. In this paper we give the asymptotic estimates of the n K width d n(W M(A),L 2[0,1]) .展开更多
基金supported by the National Natural Science Foundation of China (60974082)
摘要Smooth support vector machine (SSVM) changs the normal support vector machine (SVM) into the unconstrained op- timization by using the smooth sigmoid function. The method can be solved under the Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm and the Newdon-Armijio (NA) algorithm easily, however the accuracy of sigmoid function is not as good as that of polyno- mial smooth function. Furthermore, the method cannot reduce the influence of outliers or noise in dataset. A fuzzy smooth support vector machine (FSSVM) with fuzzy membership and polynomial smooth functions is introduced into the SVM. The fuzzy member- ship considers the contribution rate of each sample to the optimal separating hyperplane and makes the optimization problem more accurate at the inflection point. Those changes play a positive role on trials. The results of the experiments show that those FSSVMs can obtain a better accuracy and consume the shorter time than SSVM and lagrange support vector machine (LSVM).
摘要In this paper,the kernel of the cubic spline interpolation is given.An optimal error bound for the cu- bic spline interpolation of lower smooth functions is obtained.
基金This work was supported in part by the National Natural Science Foundation of China(No.11431004)the Innovation Program of Shanghai Municipal Education Commission.
摘要In this paper,we study smoothing approximations for some piecewise smooth functions.We first present two approaches for one-dimensional case:a global approach is to construct smoothing approximations over the whole domain and a local approach is to construct smoothing approximations within appropriate neighborhoods of the nonsmooth points.We obtain some error estimate results for both approaches and discuss whether the smoothing approximations can inherit the convexity of the original functions.Furthermore,we extend the global approach to some multiple dimensional cases.
基金Supported by the Funds of Ministry of Education of China for PhD (20020141013)the NNSF of China (10471015).
摘要The paper uses Euclidean Jordan algebras as a basic tool to extend smoothing functions, which include the Chen-Mangasarian class and the Fischer-Burmeister smoothing functions, to symmetric cone complementarity problems. Computable formulas for these functions and their Jacobians are derived. In addition, it is shown that these functions are Lipschitz continuous with respect to parameter # and continuously differentiable on J × J for any μ 〉 0.
基金Project supported by the National Natural Science Foundation of China(Nos.10902077,11172209, and 10572031)
摘要A new smooth gap function for the box constrained variational inequality problem (VIP) is proposed based on an integral global optimality condition. The smooth gap function is simple and has some good differentiable properties. The box constrained VIP can be reformulated as a differentiable optimization problem by the proposed smooth gap function. The conditions, under which any stationary point of the optimization problem is the solution to the box constrained VIP, are discussed. A simple frictional contact problem is analyzed to show the applications of the smooth gap function. Finally, the numerical experiments confirm the good theoretical properties of the method.
摘要This paper is aimed at the derivation of a discrete data smoothing function for the discrete Dirichlet condition in a regular grid on the surface of a spheroid.The method employed here is the local L^2-seminorm minimization,through Euler-Lagrange method,for the Beltrami operator.The method results in a weighted average of the surrounding points in a te mplate based on the first order Taylor expansion of the unknown function under consideration.The coefficients of the weighted average are calculated and used to smooth the Geoid height data in Iran,derived from the EGM2008 geopotential model.
基金supported by the National Natural Science Foundation of China(No.81360544)
摘要Objective:To investigate the effect of Chaihu Shugan decoction(CSD)on gastric smooth muscle cells(GSMCs)apoptosis in rats with functional dyspepsia(FD).Methods:48Sprague-Dawley(SD)rats were randomly assigned into six groups:a normal control group,a model group,apositive control(domperidone)group and low-,middle-and high-dose CSD groups.A rat model of FD was established by constantly squeezing their tails.The rats were administered CSD(0.16g/mL,0.32g/mL,0.64g/mL)or domperidone(0.3 g/L)via intragastric gavage for four weeks.The gastric emptying rate was detected at 4 weeks post-administration.Apoptosis of GSMCs was determined by terminal deoxynucleotidyl transferase dUTP nick end labeling(TUNEL)staining and the mitochondrial morphology was observed by transmission electron microscopy.The expression of Bcl-2and Bax was measured by immunohistochemistry.Results:FD resulted in marked reduction of gastric emptying rate,severe gastric tissue damage and mitochondria injury,but were reversed by CSD treatment(P<0.05).The apoptosis-induced protein Bax was markedly down-regulated by CSD,whereas the expression of the anti-apoptotic Bcl-2 protein was notably increased(P<0.05).Furthermore,CSD could protect the FD rats against GSMCs apoptosis manifested by a decreased in TUNEL-positive cells(P<0.05).Conclusion:CSD could alleviate GSMCs apoptosis in FD rats,possibly by the modulation of Bcl-2 and Bax expression,and the suppression of mitochondria injury.
摘要In this note, we establish a new formulation of smoothness conditions for piecewise polynomial (: =pp) functions in terms of the B-net representation in the general n-dimensional setting. It plays an important role for 2-dimensional setting in the constructive proof of the fact that the spaces of polynomial splines with smoothness rand total degree k≥3r+2 over arbitrary triangulations achieve the optimal approximation order with the approximation constant depending only on k and the smallest angle of the partition in [5].
摘要In this paper.we consider the approximation in the Lq(■)metric for some function classes with a certain mixed smoothness defined on■by the subspaces of Lq(■)which consist of entire functions whose spectrals lie in some step hyperbolic crosses,and obtain some asymptotic estimates for the best approximation quantities.
摘要We propose a new unified path to approximately smoothing the nonsmooth exact penalty function in this paper. Based on the new smooth penalty function, we give a penalty algorithm to solve the constrained optimization problem, and discuss the convergence of the algorithm under mild conditions.
基金This work was supported by The China Postdoctoral Science Foundation(2021M702304)Natural Science Foundation of Shandong Province(ZR2021QE260).
摘要A Smooth Particle Hydrodynamics(SPH)method is employed to simulate the two-phase flow of oil and water in a reservoir.It is shown that,in comparison to the classical finite difference approach,this method is more stable and effective at capturing the complex evolution of this category of two-phase flows.The influence of several smooth functions is explored and it is concluded that the Gaussian function is the best one.After 200 days,the block water cutoff for the Gaussian function is 0.3,whereas the other functions have a block water cutoff of 0.8.The effect of various injection ratios on real reservoir production is explored.When 14 and 8 m3/day is employed,the water breakthrough time is 130 and 170 days,respectively,and the block produces 9246 m3 and 6338 m3 of oil cumulatively over 400 days.
摘要针对现有波达方向(direction of arrival,DOA)估计算法无法同时抑制α稳定分布噪声和高斯色噪声问题,提出了一种基于分数阶累积量和加权双曲复合函数的平滑l0范数的DOA估计算法。首先,利用分数阶累积量的半不变性以及对α稳定分布和高斯分布不敏感的特性,抑制α稳定分布和高斯色噪声。然后,将分数阶累积量矩阵进行向量化处理,并推导出基于分数阶累积量的稀疏DOA重构模型。最后,构造双曲复合函数对l0范数进行平滑逼近,并通过调节逼近因子实现平滑性与陡峭性的自适应权衡。同时,引入加权矩阵,对真实信号源对应位置进行加权增强,其余位置权值被抑制,进一步突出稀疏解的结构特征。在此基础上,采用梯度下降与投影相结合的双层迭代策略求解加权平滑l0优化问题,从而获得目标信号的DOA值。仿真实验结果表明,在α稳定分布与高斯色噪声混合且混合信噪比低至0的条件下,所提算法DOA估计的均方根误差为0.5164°,充分验证了其在复杂噪声背景下的有效性和高精度。
摘要Let M(u) be an N function, A=D r+∑r-1k=0a k(x)D k a linear differential operator and W M(A) the Sobolev Orlicz class defined by M(u) and A. In this paper we give the asymptotic estimates of the n K width d n(W M(A),L 2[0,1]) .
基金supported by the National Natural Science Foundation of China(6110016561100231+6 种基金5120530961472307)the Natural Science Foundation of Shaanxi Province(2012JQ80442014JM83132010JQ8004)the Foundation of Education Department of Shaanxi Province(2013JK1096)the New Star Team of Xi’an University of Posts and Telecommunications
摘要Support vector machines (SVMs) have been extensively studied and have shown remarkable success in many applications. A new family of twice continuously differentiable piecewise smooth functions are used to smooth the objective function of uncon- strained SVMs. The three-order piecewise smooth support vector machine (TPWSSVMd) is proposed. The piecewise functions can get higher and higher approximation accuracy as required with the increase of parameter d. The global convergence proof of TPWSSVMd is given with the rough set theory. TPWSSVMd can efficiently handle large scale and high dimensional problems. Nu- merical results demonstrate TPWSSVMa has better classification performance and learning efficiency than other competitive base- lines.
摘要Let M(u) be an N function, A=D r+∑r-1k=0a k(x)D k a linear differential operator and W M(A) the Sobolev Orlicz class defined by M(u) and A. In this paper we give the asymptotic estimates of the n K width d n(W M(A),L 2[0,1]) .