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HAZARD REGRESSION WITH PENALIZED SPLINE:THE SMOOTHING PARAMETER CHOICE AND ASYMPTOTICS 被引量:1
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作者 童行伟 胡涛 崔恒建 《Acta Mathematica Scientia》 SCIE CSCD 2010年第5期1759-1768,共10页
In this article, we use penalized spline to estimate the hazard function from a set of censored failure time data. A new approach to estimate the amount of smoothing is provided. Under regularity conditions we establi... In this article, we use penalized spline to estimate the hazard function from a set of censored failure time data. A new approach to estimate the amount of smoothing is provided. Under regularity conditions we establish the consistency and the asymptotic normality of the penalized likelihood estimators. Numerical studies and an example are conducted to evaluate the performances of the new procedure. 展开更多
关键词 proportional hazards penalized spline smoothing parameter choice asymptotic normality
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A FUZZY CLOPE ALGORITHM AND ITS OPTIMAL PARAMETER CHOICE 被引量:1
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作者 Li Jie Gao Xinbo Jiao Licheng 《Journal of Electronics(China)》 2006年第3期384-388,共5页
Among the available clustering algorithms in data mining, the CLOPE algorithm attracts much more attention with its high speed and good performance. However, the proper choice of some parameters in the CLOPE algorithm... Among the available clustering algorithms in data mining, the CLOPE algorithm attracts much more attention with its high speed and good performance. However, the proper choice of some parameters in the CLOPE algorithm directly affects the validity of the clustering results, which is still an open issue. For this purpose, this paper proposes a fuzzy CLOPE algorithm, and presents a method for the optimal parameter choice by defining a modified partition fuzzy degree as a clustering validity function. The experimental results with real data set illustrate the effectiveness of the proposed fuzzy CLOPE algorithm and optimal parameter choice method based on the modified partition fuzzy degree. 展开更多
关键词 Data mining Cluster analysis Cluster validity Categorical attributes Optimal parameter choice
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Regularization and Choice of the Parameter for the Third Kind Nonlinear Volterra-Stieltjes Integral Equation Solutions 被引量:1
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作者 Nurgul Bedelova Avyt Asanov +1 位作者 Zhypar Orozmamatova Zhypargul Abdullaeva 《International Journal of Modern Nonlinear Theory and Application》 2021年第2期81-90,共10页
The article is considering the third kind of nonlinear Volterra-Stieltjes integral equations with the solution by Lavrentyev regularizing operator. A uniqueness theorem was proved, and a regularization parameter was c... The article is considering the third kind of nonlinear Volterra-Stieltjes integral equations with the solution by Lavrentyev regularizing operator. A uniqueness theorem was proved, and a regularization parameter was chosen. This can be used in further development of the theory of the integral equations in non-standard problems, classes in the numerical solution of third kind Volterra-Stieltjes integral equations, and when solving specific problems that lead to equations of the third kind. 展开更多
关键词 REGULARIZATION SOLUTIONS Nonlinear Volterra-Stieltjes Integral Equations Third Kind choice of Regularization Parameter
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Simplified Iterative Tikhonov Regularization and Posteriori Parameter Choice Rules
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作者 来慧洁 贺国强 《Journal of Shanghai University(English Edition)》 CAS 2005年第4期314-319,共6页
In this paper, a simplified iterative regnlarization method was used to solve the operator equations of the first kind involving semi-positive definite operators, the convergence rates of regularized solutions were ob... In this paper, a simplified iterative regnlarization method was used to solve the operator equations of the first kind involving semi-positive definite operators, the convergence rates of regularized solutions were obtained and a posteriori parametr choice strategy was given. 展开更多
关键词 ill-posed problem semi-positive definite operator convergence rates of regularizde solutions parameter choice strategy.
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IDENTIFYING AN UNKNOWN SOURCE IN SPACE-FRACTIONAL DIFFUSION EQUATION 被引量:2
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作者 杨帆 傅初黎 李晓晓 《Acta Mathematica Scientia》 SCIE CSCD 2014年第4期1012-1024,共13页
In this paper, we identify a space-dependent source for a fractional diffusion equation. This problem is ill-posed, i.e., the solution (if it exists) does not depend continuously on the data. The generalized Tikhono... In this paper, we identify a space-dependent source for a fractional diffusion equation. This problem is ill-posed, i.e., the solution (if it exists) does not depend continuously on the data. The generalized Tikhonov regularization method is proposed to solve this problem. An a priori error estimate between the exact solution and its regularized approximation is obtained. Moreover, an a posteriori parameter choice rule is proposed and a stable error estimate is also obtained, Numerical examples are presented to illustrate the validity and effectiveness of this method. 展开更多
关键词 spatial-dependent heat source space-fractional diffusion equation generalized Tikhonov regularization A posteriori parameter choice error estimate
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EFFECTS OF DHATATIONAL PHASE TRANSFORMATION ON TARGET STRENGTH OF CERAMIC MATERIALS 被引量:1
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作者 Sun Yi Ma Jun +1 位作者 Zhou Yu Li Tao 《Acta Mechanica Solida Sinica》 SCIE EI 1999年第3期263-268,共6页
The effects of dilatational phase transformation on the target strength of ceramic materi- als are investigated based on Tate's model.The constitutive behavior of materials in different regions (elastic,cracked,pl... The effects of dilatational phase transformation on the target strength of ceramic materi- als are investigated based on Tate's model.The constitutive behavior of materials in different regions (elastic,cracked,plastic and phase transformation)are taken into account.It is found that,with a proper choice of material parameters,the dilatational phase transformation can increase effectively the target strength R_t.This would be of importance in penetration-resistance design. 展开更多
关键词 PENETRATION dilatational phase transformation choice of material parameter
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LAVRENTIEV'S REGULARIZATION METHOD FOR NONLINEAR ILL-POSED EQUATIONS IN BANACH SPACES
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作者 Santhosh GEORGE C.D.SREEDEEP 《Acta Mathematica Scientia》 SCIE CSCD 2018年第1期303-314,共12页
In this paper, we deal with nonlinear ill-posed problems involving m-accretive mappings in Banach spaces. We consider a derivative and inverse free method for the imple- mentation of Lavrentiev regularization method. ... In this paper, we deal with nonlinear ill-posed problems involving m-accretive mappings in Banach spaces. We consider a derivative and inverse free method for the imple- mentation of Lavrentiev regularization method. Using general HSlder type source condition we obtain an optimal order error estimate. Also we consider the adaptive parameter choice strategy proposed by Pereverzev and Schock (2005) for choosing the regularization parameter. 展开更多
关键词 nonlinear ill-posed problem Banach space Lavrentiev regularization m-accretive mappings adaptive parameter choice strategy
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Method study of parameter choice for a circular proton–proton collider
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作者 苏峰 高杰 +4 位作者 肖铭 王逗 王毅伟 白莎 边天剑 《Chinese Physics C》 SCIE CAS CSCD 2016年第1期103-109,共7页
In this paper we show a systematic method of appropriate parameter choice for a circular proton-proton collider by using an analytical expression for the beam beam tune shift limit, starting from a given design goal a... In this paper we show a systematic method of appropriate parameter choice for a circular proton-proton collider by using an analytical expression for the beam beam tune shift limit, starting from a given design goal and technical limitations. A suitable parameter space has been explored. Based on the parameter scan, sets of appropriate parameters designed for a 50 km and 100 km circular proton proton collider are proposed. 展开更多
关键词 circular proton-proton collider parameter choice beam-beam tune shift limit
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A Posteriori Parameter Choice Strategy for Nonlinear Monotone Operator Equations
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作者 Hong-qi Yang, Zong-yi HouDepartment of Scientific Computing & Computer Applications, Zhongshan University, Guangzhou 510275,ChinaDepartment of Mathematics, Pudan University, Shanghai 200433, China 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2002年第2期289-294,共6页
In this paper we present an a posteriori parameter choice strategy for nonlinear ill-posed operator equations involving monotone operators. Under certain conditions, this a posteriori parameter choice strategy guarant... In this paper we present an a posteriori parameter choice strategy for nonlinear ill-posed operator equations involving monotone operators. Under certain conditions, this a posteriori parameter choice strategy guarantees the optimal convergence rate O (δ1/2) for Tikhonov-Browder regularization, where δ denotes the noise level of the data perturbation. 展开更多
关键词 Nonlinear operator equation monotone operator convergence rate a posteriori parameter choice
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A MULTISCALE PROJECTION METHOD FOR SOLVING NONLINEAR INTEGRAL EQUATIONS UNDER THE LIPSCHITZ CONDITION
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作者 Linxiu Fan Xingjun Luo +2 位作者 Rong Zhang Chunmei Zeng Suhua Yang 《Journal of Computational Mathematics》 SCIE CSCD 2023年第6期1222-1245,共24页
We propose a multiscale projection method for the numerical solution of the irtatively regularized Gauss-Newton method of nonlinear integral equations.An a posteriori rule is suggested to choose the stopping index of ... We propose a multiscale projection method for the numerical solution of the irtatively regularized Gauss-Newton method of nonlinear integral equations.An a posteriori rule is suggested to choose the stopping index of iteration and the rates of convergence are also derived under the Lipschitz condition.Numerical results are presented to demonstrate the efficiency and accuracy of the proposed method. 展开更多
关键词 Nonlinear integral equations Multiscale Galerkin method parameter choice strategy Gauss-Newton method
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A DISCRETIZING LEVENBERG-MARQUARDT SCHEME FOR SOLVING NONLIEAR ILL-POSED INTEGRAL EQUATIONS
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作者 Rong Zhang Hongqi Yang 《Journal of Computational Mathematics》 SCIE CSCD 2022年第5期686-710,共25页
To reduce the computational cost,we propose a regularizing modified LevenbergMarquardt scheme via multiscale Galerkin method for solving nonlinear ill-posed problems.Convergence results for the regularizing modified L... To reduce the computational cost,we propose a regularizing modified LevenbergMarquardt scheme via multiscale Galerkin method for solving nonlinear ill-posed problems.Convergence results for the regularizing modified Levenberg-Marquardt scheme for the solution of nonlinear ill-posed problems have been proved.Based on these results,we propose a modified heuristic parameter choice rule to terminate the regularizing modified Levenberg-Marquardt scheme.By imposing certain conditions on the noise,we derive optimal convergence rates on the approximate solution under special source conditions.Numerical results are presented to illustrate the performance of the regularizing modified Levenberg-Marquardt scheme under the modified heuristic parameter choice. 展开更多
关键词 The regularizing Levenberg-Marquardt scheme Multiscale Galerkin methods Nonlinear ill-posed problems Heuristic parameter choice rule Optimal convergence rate.
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