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THE SYMMETRIC POSITIVE SOLUTIONS OF 2n-ORDER BOUNDARY VALUE PROBLEMS ON TIME SCALES
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作者 Yangyang Yu Linlin Wang Yonghong Fan 《Annals of Applied Mathematics》 2016年第3期311-321,共11页
In this paper, we are concerned with the symmetric positive solutions of a 2n-order boundary value problems on time scales. By using induction principle,the symmetric form of the Green's function is established. In o... In this paper, we are concerned with the symmetric positive solutions of a 2n-order boundary value problems on time scales. By using induction principle,the symmetric form of the Green's function is established. In order to construct a necessary and sufficient condition for the existence result, the method of iterative technique will be used. As an application, an example is given to illustrate our main result. 展开更多
关键词 symmetric positive solutions boundary value problems induction principle time scales iterative technique
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Problems on Scales and Maps
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《中学生数学(初中版)》 2007年第6期41-,共1页
Imaging that there is a part of the map of Sentosa Island.It reasonably represents the rela- tive positions of interest.The scale shown at the bottom centre of this map gives a measure of the ratio of the distance on ... Imaging that there is a part of the map of Sentosa Island.It reasonably represents the rela- tive positions of interest.The scale shown at the bottom centre of this map gives a measure of the ratio of the distance on the map to the actural distance. In this case,4 cm on the map represents 1 km.since a scale can be expressed in a ratio form, we have: 展开更多
关键词 problems on Scales and Maps LENGTH
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A STOCHASTIC MOVING BALLS APPROXIMATION METHOD OVER A SMOOTH INEQUALITY CONSTRAINT
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作者 Leiwu Zhang 《Journal of Computational Mathematics》 SCIE CSCD 2020年第3期528-546,共19页
We consider the problem of minimizing the average of a large number of smooth component functions over one smooth inequality constraint.We propose and analyze a stochastic Moving Balls Approximation(SMBA)method.Like s... We consider the problem of minimizing the average of a large number of smooth component functions over one smooth inequality constraint.We propose and analyze a stochastic Moving Balls Approximation(SMBA)method.Like stochastic gradient(SG)met hods,the SMBA method's iteration cost is independent of the number of component functions and by exploiting the smoothness of the constraint function,our method can be easily implemented.Theoretical and computational properties of SMBA are studied,and convergence results are established.Numerical experiments indicate that our algorithm dramatically outperforms the existing Moving Balls Approximation algorithm(MBA)for the structure of our problem. 展开更多
关键词 Smooth convex constrained minimization.Large scale problem.Moving Balls Approximation Regularized logistic regression
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