The Logarithmic Derivative in Scientific Data Analysis
The logarithmic derivative has been shown to be a useful tool for data analysis in applied sciences because of either simplifying mathematical procedures or enabling an improved understanding and visualization of structural relationships and dynamic processes. In particular, spatial and temporal var...
Saved in:
| Main Author: | Ruediger Grunwald |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Encyclopedia |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-8392/5/2/44 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Exponential decay and finite-time blow-up for the Klein–Gordon equation with linear strong damping, nonlinear weak damping, and logarithmic nonlinearity
by: Ying Chu, et al.
Published: (2025-07-01) -
On the logarithmic fractional Schrödinger–Poisson system with saddle-like potential
by: Huo Tao, et al.
Published: (2024-07-01) -
Logarithmic derivative estimates of meromorphic functions of finite order in the half-plane
by: I.E. Chyzhykov, et al.
Published: (2020-12-01) -
New results concerning a Schrödinger equation involving logarithmic nonlinearity
by: Yaqing Cai, et al.
Published: (2024-12-01) -
Finite and Infinte Time Blow Up of Solutions to Wave Equations with Combined Logarithmic and Power-Type Nonlinearities
by: Milena Dimova, et al.
Published: (2025-01-01)