Proceedings of the 2025 International Conference on Financial Risk and Investment Management (ICFRIM 2025)

Comparison of Interpolation and Curve Fitting in Definition and Application

Authors
Qinglin Luk1, *
1The Ohio State University, Columbus, OH, 43210, USA
*Corresponding author. Email: Luk.32@osu.edu
Corresponding Author
Qinglin Luk
Available Online 3 July 2025.
DOI
10.2991/978-94-6463-748-9_39How to use a DOI?
Keywords
Interpolation; Curve Fitting; Discrete Data; Regression
Abstract

Analyzing discrete data in the real world and applying the results of that analysis is something that people do all the time. It has a long history, and it involves different fields. To be able to better analyze the data, people often use various methods. Each of these approaches has its own history, as well as its own advantages and disadvantages. There are similarities between them, but there are also many differences. Among them, interpolation and fitting are both important methods for processing discrete data. They have similarities, but they are different in theory and practical application. To better understand and learn interpolation and fitting, this paper will compare interpolation and fitting. The author will use the method of contrast to briefly introduce interpolation and fitting, and then explain the differences between interpolation and fitting in terms of theory and practical application. In this paper, the author first introduces the definition of interpolation and fitting respectively, and briefly introduces the interpolation and fitting of several different methods. Then, the definition of interpolation and fitting is compared, the characteristics, advantages and disadvantages of the two are described, and the application of interpolation and fitting is compared from finance, meteorology, engineering and other fields.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 International Conference on Financial Risk and Investment Management (ICFRIM 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
3 July 2025
ISBN
978-94-6463-748-9
ISSN
2352-5428
DOI
10.2991/978-94-6463-748-9_39How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Qinglin Luk
PY  - 2025
DA  - 2025/07/03
TI  - Comparison of Interpolation and Curve Fitting in Definition and Application
BT  - Proceedings of the 2025 International Conference on Financial Risk and Investment Management (ICFRIM 2025)
PB  - Atlantis Press
SP  - 352
EP  - 359
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-748-9_39
DO  - 10.2991/978-94-6463-748-9_39
ID  - Luk2025
ER  -