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稀疏优化算法综述 被引量:4
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作者 于春梅 《计算机工程与应用》 CSCD 2014年第11期210-217,共8页
压缩感知是近年来发展起来的关于信息获取与处理的全新理论框架。主要介绍压缩感知的基本理论,侧重于稀疏优化算法的综述。将稀疏优化算法分为活动集方法、投影算子法和经典凸规划法。介绍了每种方法的基本思想、研究进展和适用的优化... 压缩感知是近年来发展起来的关于信息获取与处理的全新理论框架。主要介绍压缩感知的基本理论,侧重于稀疏优化算法的综述。将稀疏优化算法分为活动集方法、投影算子法和经典凸规划法。介绍了每种方法的基本思想、研究进展和适用的优化问题。最后,探讨了稀疏优化算法目前存在的问题以及可能的研究方向。 展开更多
关键词 压缩感知 稀疏优化 活动集方法 投影算子法 经典凸规划法
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A Comparison of Terrestrial Arthropod Sampling Methods 被引量:2
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作者 邹怡 冯金朝 +2 位作者 薛达元 桑卫国 Jan C.AXMACHER 《Journal of Resources and Ecology》 CSCD 2012年第2期174-182,共9页
Terrestrial arthropods are extremely important ecosystem components. The choice of best approaches to collect the wide range of terrestrial arthropods has been a topic of long-lasting debates. This article provides a ... Terrestrial arthropods are extremely important ecosystem components. The choice of best approaches to collect the wide range of terrestrial arthropods has been a topic of long-lasting debates. This article provides a brief overview of common sampling methods for terrestrial arthropod assemblages. We divide sampling methods into three main categories: passive sampling methods without any "activity density" bias, passive sampling methods with an "activity density" bias, and active sampling methods with inherent "activity density" and often further species-dependent biases, discussing their individual advantages and shortcomings as basis for biodiversity studies and pest control management. The selection of the optimal sampling methods depends strongly on the purpose of individual studies and the ecology and behavior of the arthropod groups targeted. A combination of different suitable methods is highly recommended in many cases. 展开更多
关键词 terrestrial arthropods sampling methods COMPARISON activity density
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