Related Experiment Video
Updated: Mar 23, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
Laplace transform homotopy perturbation method for the approximation of variational problems.
U Filobello-Nino1, H Vazquez-Leal1, M M Rashidi2
1Facultad de Instrumentación Electrónica, Universidad Veracruzana, Circuito Gonzalo Aguirre Beltrán S/N, 91000 Xalapa, Veracruz Mexico.
This study applies the Laplace Transform-Homotopy Perturbation Method to solve differential equations from variational problems. The method demonstrates high accuracy, yielding exact solutions and confirming its effectiveness for complex problems.
Area of Science:
- Applied Mathematics
- Numerical Analysis
Background:
- Variational problems often lead to complex linear and nonlinear differential equations.
- Analytical approximate solutions are crucial for understanding and solving these equations.
Purpose of the Study:
- To apply and evaluate the Laplace Transform-Homotopy Perturbation Method (LT-HPM) and its modifications.
- To find accurate analytical approximate solutions for differential equations arising from variational problems.
Main Methods:
- The Laplace Transform-Homotopy Perturbation Method (LT-HPM).
- Application to four specific ordinary differential equations derived from variational problems.
Main Results:
- The proposed methods successfully generated analytical approximate solutions.
- High accuracy was achieved, with one case yielding an exact solution.
- The square residual error for the approximate solutions was found to be within [0.001918936920, 0.06334882582].
Conclusions:
- The LT-HPM and its modifications are effective for solving differential equations in variational problems.
- The methods provide accurate and reliable solutions, even for complex mathematical challenges.
- The low square residual error validates the precision of the proposed techniques.
Related Concept Videos
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,...
Second Derivatives and Laplace Operator
Consider a scalar function. The curl of its...
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....
Region of Convergence of Laplace Tarnsform
Consider a decaying exponential signal that begins at a specific time. When deriving its Laplace transform, the time-domain variable is replaced with a complex variable. This...
Application of Linearization and Approximation

