Application of Computer Design of Nearly Linear Numerical Analysis Model in Research Quality

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In this paper we use MATLAB and VB to establish computer analysis system between the students' psychological quality and employment competition. Based on optimal solution constraint conditions and the clustering center boundary value of the student ideological quality maturity model, we establish the model of student ideological quality maturity. We introduce the numerical calculation into nearly linear equation of students' employment advantage, and obtain the advantage index of employment. This paper we use the MATLAB software to import the student ideological quality indexes, and get the students ideological quality maturity index by analysis and calculation. The maturity is displayed by GUI using VB visual. It provides a theoretical reference for the quality of the students’ ideological education.

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6316-6319

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May 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] He Jie. Challenges and countermeasure of the patriotism education in the new era [J]. Journal of Henan Normal University (Philosophy and social sciences edition), 2011(4): 24-29.

Google Scholar

[2] Wu Xingjie. The innovation thinking of college students' patriotism education [J]. School party construction and ideological education, 2011(1): 56-61.

Google Scholar

[3] Sun Xiangjun. The main problems and countermeasures of college patriotism education under the new situation [J]. Journal of Shandong Youth University of Political Science, 2012(5): 45-49.

Google Scholar

[4] Xu Ping. College students' patriotism education thinking in the internet age [J]. Journal of Xiangtan Teachers College (Social Science edition), 2011(3): 34-39.

Google Scholar

[5] Xiao Xuebin, Zhu Li. The influence and countermeasures of new media on college students' ideological and political education [J]. Ideological education, 2012(7): 56-61.

Google Scholar

[6] Zhou Aoying, Jin Cheqing, Wang Guoren, Li Jianzhong. The uncertainty of data management technology [J] Journal of computer, 2012, 32(1): 56-60.

Google Scholar

[7] Dai Dongbo, Zhao Gang, Sun Shengli. Effective clustering algorithm based on probabilistic data stream [J]. Journal of software, 2011, 20(5): 1313-1318.

DOI: 10.3724/sp.j.1001.2009.03303

Google Scholar

[8] Zong Yu, Li Mingchu, Jiang He. Reduction clustering algorithm based on approximate backbone guided [J]. Journal of electronics & information technology, 2012, 31(12): 2953-2957.

Google Scholar

[9] Wei Qiuhong, Wang Hong. The complex characteristics analysis of real networks [J]. Information technology and the information network and communication, 2011(1): 3-8.

Google Scholar

[10] Liu Zhongyang, Li Dong, Zhu Yunping, He Fuchu. The evolutionary analysis of protein interaction networks [J]. Progress in biochemistry and biophysics, 2012, 36(1): 13-17.

Google Scholar