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Published in: Annals of Data Science 3/2022

13-05-2022

Covert Factor’s Exploiting and Factor Planning

Authors: Hui Sun, Fanhui Zeng, Yang Yang

Published in: Annals of Data Science | Issue 3/2022

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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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Metadata
Title
Covert Factor’s Exploiting and Factor Planning
Authors
Hui Sun
Fanhui Zeng
Yang Yang
Publication date
13-05-2022
Publisher
Springer Berlin Heidelberg
Published in
Annals of Data Science / Issue 3/2022
Print ISSN: 2198-5804
Electronic ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-022-00394-9

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