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知识资本对国家优势产业组合深度与广度复杂性的差异化影响分析 被引量:6
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作者 谭畅 刘林青 《国际经贸探索》 CSSCI 北大核心 2019年第7期40-53,共14页
文章首先通过梳理复杂性指标的概念内涵、测量思路和测量范围等将其区分为两个维度:深度复杂性和广度复杂性;接着重点关注知识资本对两种复杂性的影响效应。研究表明,现阶段中国的深度复杂性与广度复杂性协同发展,虽然距离发达国家有一... 文章首先通过梳理复杂性指标的概念内涵、测量思路和测量范围等将其区分为两个维度:深度复杂性和广度复杂性;接着重点关注知识资本对两种复杂性的影响效应。研究表明,现阶段中国的深度复杂性与广度复杂性协同发展,虽然距离发达国家有一定差距,但具有良好的上升势头。实证研究中知识资本的不同获取途径对两种复杂性的影响效应存在差别,而内部研发投入对两种复杂性都有显著的提升作用。中国应通过研发创新驱动发展,切实将知识资本作为贸易强国的新竞争优势来源。 展开更多
关键词 优势产业组合 广度复杂性 深度复杂性 知识资本
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New algorithm for variable-rate linear broadcast network coding 被引量:1
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作者 夏寅 张惕远 黄佳庆 《Journal of Central South University》 SCIE EI CAS 2011年第4期1193-1199,共7页
To adjust the variance of source rate in linear broadcast networks, global encoding kernels should have corresponding dimensions to instruct the decoding process. The algorithm of constructing such global encoding ker... To adjust the variance of source rate in linear broadcast networks, global encoding kernels should have corresponding dimensions to instruct the decoding process. The algorithm of constructing such global encoding kernels is to adjust heterogeneous network to possible link failures. Linear algebra, graph theory and group theory are applied to construct one series of global encoding kernels which are applicable to all source rates. The effectiveness and existence of such global encoding kernels are proved. Based on 2 information flow, the algorithm of construction is explicitly given within polynomial time O(|E| |T|.ω^2max), and the memory complexity of algorithm is O(|E|). Both time and memory complexity of this algorithm proposed can be O(ωmax) less than those of algorithms in related works. 展开更多
关键词 network coding variable-rate linear broadcast heterogeneous network code construction algorithm
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Fisher Information and Complexity Measure of Generalized Morse Potential Model
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作者 C.A. Onate J.O.A. Idiodi 《Communications in Theoretical Physics》 SCIE CAS CSCD 2016年第9期275-279,共5页
The spreading of the quantum-mechanical probability distribution density of the three-dimensional system is quantitatively determined by means of the local information-theoretic quantity of the Shannon information and... The spreading of the quantum-mechanical probability distribution density of the three-dimensional system is quantitatively determined by means of the local information-theoretic quantity of the Shannon information and information energy in both position and momentum spaces. The complexity measure which is equivalent to Cramer–Rao uncertainty product is determined. We have obtained the information content stored, the concentration of quantum system and complexity measure numerically for n = 0, 1, 2 and 3 respectively. 展开更多
关键词 fisher information Shannon entropy complexity measures
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