| D-最优设计的SMO算法 |
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| 引用本文： | 马敬,刘小会.D-最优设计的SMO算法[J].长春光学精密机械学院学报,2012(3):86-88,92. |
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| 作者姓名： | 马敬 刘小会 |
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| 作者单位： | 西安电子科技大学理学院,西安710071 |
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| 摘 要： | 本文在Fedorov算法的基础上,引入了Schmidt初始化策略,对原算法进行了改进。更进一步地,结合最小体积闭包椭球问题的理论、支持向量机中序列最小最优化（Sequential minimal optimization,简记为SMO）算法思想2],和Schmidt初始化策略给出了D-最优设计一个新的数值算法——SMO更新算法,并对其复杂度进行了分析。
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| 关 键 词： | D-最优设计 Fedorov算法 Schmidt初始化 SMO算法 |
The SMO Algorithm for D-optimal Experimental Design |
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| MA Jing,LIU Xiaohui.The SMO Algorithm for D-optimal Experimental Design[J].Journal of Changchun Institute of Optics and Fine Mechanics,2012(3):86-88,92. |
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| Authors: | MA Jing LIU Xiaohui |
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| Affiliation: | (College of science of Xidian University, Xi＇an 710071) |
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| Abstract: | In this paper,based on the Fedorov method,the original algorithm was improved by introducing the initial strategy of Schmidt.Furthermore,combining the minimum volume eppipsoid closure theory,the support vector machine（SVM） minimum sequence optimization（Sequential minimal optimization,referred to as SMO） algorithm thought,and the initial strategy of Schmidt,we advance a new method for D-optimal experimental design——SMO updating algorithm,and its complexity is analyzed. |
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| Keywords: | D- optimal experimental design Fedorov method Schmidt initial strategy SMO updating algorithm |
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