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Covert Factor’s Exploiting and Factor Planning

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Abstract

All the classification solutions in artificial intelligence can be summed up as explicit factor implicit problem, and the explicit factor implicit problem should be solved by linear programming. The simplex linear programming algorithm is simple and fast, but it is not a polynomial algorithm. Whether it can be improved into a “strong polynomial algorithm”, that is, in any case, the number of operations of this algorithm is a polynomial function of the number of equations and variables, is a trans-century international mathematical problem that has been unsolved for decades. This question, which involves the mathematical boundaries of ai development, is crucial. The method of solving programming problem from the demand and specialty of artificial intelligence is called factor programming. This paper will introduce the basic ideas of factor explicit and implicit programming and factor programming, and write programs for some of the algorithms, and prove the theorem of triangular matrix optimization.

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All data included in this study are available upon request by contact with the corresponding author.

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This study was implemented programmatically in Python, and all code included in this article can be obtained by contacting the corresponding author.

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Correspondence to Fanhui Zeng.

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I hereby declare that this manuscrint is the result of my creation with the reviewers’comments. Except for the quoted contents. this manuscript does not contain any research achievements that have been published or written by other individuals or groups. The legal responsibility of this statement shall be borne by me.

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Sun, H., Zeng, F. & Yang, Y. Covert Factor’s Exploiting and Factor Planning. Ann. Data. Sci. 9, 449–467 (2022). https://doi.org/10.1007/s40745-022-00394-9

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  • DOI: https://doi.org/10.1007/s40745-022-00394-9

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