Proceedings of the 2020 6th International Conference on Social Science and Higher Education (ICSSHE 2020)

New Approaches to the Analytical Methods on the Teaching of Reintegration

Authors
Xiaonan Xiao
Corresponding Author
Xiaonan Xiao
Available Online 16 December 2020.
DOI
10.2991/assehr.k.201214.030How to use a DOI?
Keywords
Reintegration, analytical method, upper integral point, lower integral point, cumulative integral
Abstract

In current textbooks, when discussing the solution of reintegration, geometric figures are generally used to find the integration area to determine the upper and lower limits of the integration and to calculate the reintegration into repeated integration on a simple area. This method of calculating reintegration with the help of geometric figures is intuitive and simple, and is therefore widely used. As a supplement to the above method, this article will provide an analytical method of reintegration. Using this method to calculate reintegration, it is effective for those complex integration calculations.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2020 6th International Conference on Social Science and Higher Education (ICSSHE 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
16 December 2020
ISBN
978-94-6239-300-4
ISSN
2352-5398
DOI
10.2991/assehr.k.201214.030How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaonan Xiao
PY  - 2020
DA  - 2020/12/16
TI  - New Approaches to the Analytical Methods on the Teaching of Reintegration
BT  - Proceedings of the 2020 6th International Conference on Social Science and Higher Education (ICSSHE 2020)
PB  - Atlantis Press
SP  - 165
EP  - 168
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201214.030
DO  - 10.2991/assehr.k.201214.030
ID  - Xiao2020
ER  -