Abstract
In this paper, aiming to papers [1, 2]’s deficiency, we propose a method which changes to use the Excel’s single variable equations and regional operations with the Excel VBA programming. Finally, we get a method to solve the matrix eigenvalues and the eigenvectors by using Excel. The facts show that the method in this paper is better than the references’ methods.
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References
Yang, M., Lu, J.: In excel naming and calculating eigenvalues eigenvectors of matrix. Comput. Knowl. Technol. 14(3), 1295–1296 (2007)
Rong, S.: Excel VBA for then numerical calculation of the matrix eigenvalue. Jiangnan univ. J. (Nat. Sci. Ed.) 24(4), 418–422 (2009)
Golub, F.: Matrix Calculation. Science Press, Beijing (2001)
Lin, C.: Numerical methods (Part ii). Science Press, Beijing (2005)
ExcelHome. The actual combat skills essence of Excel VBA[M]. People’s Posts & Telecom Press, Beijing (2008)
Visual Basic 6.0 Chinese version, Introduction and Enhancement. Tsinghua University Press, Beijing (1999)
Zhong, Y.: The optimization for location for large commoditys regional distribution center. Adv. Soft Comput. 40, 969–979 (2007)
Zhong, Y.: The Design of A Controller in Fuzzy PETRI NET. Fuzzy Optim. Decis. Making 7(4), 399–408 (2008)
Zhong Y.: The structures and expressions of power group. Fuzzy Inf. Eng. 2(2):(2010)
Zhong, Y., Deng, H., Chen, H.: A fuzzy logic based mobile intelligent system for eeEvaluating and selecting hotels in tourism, pp. 733–737. IEEEof International Conference on Web Information Systems and Mining (2009)
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Yao, Wq. (2014). An Improved Optimization Algorithm for Solving Real Eigenvalue and Eigenvector of Matrixes. In: Cao, BY., Nasseri, H. (eds) Fuzzy Information & Engineering and Operations Research & Management. Advances in Intelligent Systems and Computing, vol 211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38667-1_9
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DOI: https://doi.org/10.1007/978-3-642-38667-1_9
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