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构造矩阵法在不等式证明中的应用
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作者 黄记洲 《清远职业技术学院学报》 2018年第6期41-44,共4页
根据欲证不等式本身的特征构造或设计一个具有一定规律和模式的非负实数矩阵,利用矩阵中元素之间的算术平均值与几何平均值的某些关系,证明一些不等式,并推广已有文献的一些结论。这一非常规特殊方法比常规的一般方法更加简捷、更加有效... 根据欲证不等式本身的特征构造或设计一个具有一定规律和模式的非负实数矩阵,利用矩阵中元素之间的算术平均值与几何平均值的某些关系,证明一些不等式,并推广已有文献的一些结论。这一非常规特殊方法比常规的一般方法更加简捷、更加有效,往往会起到事半功倍作用。 展开更多
关键词 构造矩阵法 不等式 应用
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A Family of Asymmetrical Orthogonal Arrays with Run Sizes 4p^2 被引量:1
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作者 廖靖宇 张建军 张应山 《Chinese Quarterly Journal of Mathematics》 CSCD 北大核心 2007年第3期426-435,共10页
Nowadays orthogonal arrays play important roles in statistics, computer science, coding theory and cryptography. The usual difference matrices are essential for the construction of many mixed orthogonal arrays. But th... Nowadays orthogonal arrays play important roles in statistics, computer science, coding theory and cryptography. The usual difference matrices are essential for the construction of many mixed orthogonal arrays. But there are also many orthogonal arrays, especially mixed-level or asymmetrical which can not be obtained by the usual difference matrices. In order to construct these asymmetrical orthogonal arrays, a class of special matrices, so-called generalized difference matrices, were discovered by Zhang(1989, 1990, 1993) by the orthogonal decompositions of projective matrices. In this article, an interesting equivalent relationship between the orthogonal arrays and the generalized difference matrices is presented. As an application, a family of orthogonal arrays of run sizes 4p2, such as L36(6^13^42^10), are constructed. 展开更多
关键词 mixed-level orthogonal arrays generalized difference matrices projective matrices permutable matrices
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CONSTRUCTION OF THE ENCRYPTION MATRIX BASED ON CHEBYSHEV CHAOTIC NEURAL NETWORKS
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作者 Zou Ajin Wu Wei +1 位作者 Li Renfa Li Yongjiang 《Journal of Electronics(China)》 2012年第3期248-253,共6页
The paper proposes a novel algorithm to get the encryption matrix. Firstly, a chaotic sequence generated by Chebyshev chaotic neural networks is converted into a series of low-order integer matrices from which availab... The paper proposes a novel algorithm to get the encryption matrix. Firstly, a chaotic sequence generated by Chebyshev chaotic neural networks is converted into a series of low-order integer matrices from which available encryption matrices are selected. Then, a higher order encryption matrix relating real world application is constructed by means of tensor production method based on selected encryption matrices. The results show that the proposed algorithm can produce a "one-time pad cipher" encryption matrix with high security; and the encryption results have good chaos and auto-correlation with the natural frequency of the plaintext being hidden and homogenized. 展开更多
关键词 Neural network Encryption matrix CHAOS Tensor production
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New Integrable Decomposition of Super AKNS Equation
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作者 季杰 董亚娟 《Communications in Theoretical Physics》 SCIE CAS CSCD 2010年第11期803-808,共6页
In this paper, a new 7×7 matrix spectral problem, which is associated with the super AKNS equation isconstructed.With the use of the binary nonlinearization method, a new integrable decomposition of the super AKN... In this paper, a new 7×7 matrix spectral problem, which is associated with the super AKNS equation isconstructed.With the use of the binary nonlinearization method, a new integrable decomposition of the super AKNSequation is presented. 展开更多
关键词 spectral-problem integrable decomposition super AKNS equation
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