Related Experiment Video
Updated: Mar 14, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
Transforming the canonical piecewise-linear model into a smooth-piecewise representation
Victor M Jimenez-Fernandez1, Maribel Jimenez-Fernandez2, Hector Vazquez-Leal1
1Faculty of Electronic Instrumentation, Universidad Veracruzana, Circuito Gonzalo Aguirre Beltrán S/N, Zona Universitaria, 91000 Xalapa, Veracruz Mexico.
A novel smoothed representation of the piecewise-linear model is introduced using exponential and logarithmic functions. This differentiable formulation enhances parameter inheritance, controls smoothness, and improves approximation accuracy.
Area of Science:
- Mathematics
- Numerical Analysis
- Computational Modeling
Background:
- Piecewise-linear models are widely used but often lack differentiability.
- Existing smoothing techniques may not preserve model parameters or offer precise control over approximation.
Purpose of the Study:
- To present a novel, completely differentiable smoothed representation for the canonical piecewise-linear model.
- To introduce a method that allows direct parameter inheritance from the original model.
- To enable control over smoothness grade and approximation accuracy at breakpoints.
Main Methods:
- Development of a smoothed representation using natural exponential and logarithmic functions.
- Formulation of a completely differentiable mathematical model.
- Verification through numerical simulation examples.
Main Results:
- The proposed smoothed model directly inherits parameters from the original piecewise-linear model.
- The method allows adjustable smoothness and approximation accuracy at specific locations.
- It demonstrates lower or equal overshooting for high-order derivatives compared to other methods.
- The formulation is mathematically concise, utilizing only logarithmic and exponential functions.
Conclusions:
- The presented smoothed representation offers a versatile and accurate alternative to traditional piecewise-linear models.
- This approach facilitates direct parameter transfer and fine-tuned control over model behavior.
- Numerical simulations confirm the efficacy and advantages of the proposed method.
Related Concept Videos
Piecewise-Defined Functions
Types of Functions III
Linearization and Approximation
Linear Approximation in Time Domain
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
Application of Linearization and Approximation
Linear Approximation in Frequency Domain
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....

