Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Further remarks on convergence of decomposition method

Y Cherruault1, G Adomian, K Abbaoui

  • 1Université Paris VI Laboratoire MEDIMAT, France.

International Journal of Bio-Medical Computing
|January 1, 1995
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

DIVANU: a new method for global optimization.

International journal of bio-medical computing·1995
Same author

A new method for global optimization in two dimensions.

International journal of bio-medical computing·1995
Same author

A discrete mathematical model applied to human basophil activation.

International journal of bio-medical computing·1994
Same author

A non-linear compartmental model of human basophil activation.

International journal of bio-medical computing·1994
Same author

New ideas for solving identification and optimal control problems related to biomedical systems.

International journal of bio-medical computing·1994
Same author

Convergence of decomposition methods and application to biological systems.

International journal of bio-medical computing·1994

The decomposition method offers a powerful approach for solving nonlinear functional equations using rapidly converging series solutions. This review clarifies key aspects of this versatile mathematical technique.

Area of Science:

  • Mathematics
  • Numerical Analysis

Background:

  • Nonlinear functional equations present significant challenges in various scientific and engineering disciplines.
  • Existing solution methods often struggle with convergence or applicability to broad classes of problems.

Purpose of the Study:

  • To provide a comprehensive review and clarification of the decomposition method.
  • To highlight its effectiveness in solving a wide range of nonlinear functional equations.

Main Methods:

  • The study focuses on the decomposition method, a technique employing series solutions.
  • Emphasis is placed on the rapid convergence properties of the series.

Main Results:

  • The decomposition method is demonstrated to be effective for a broad spectrum of nonlinear functional equations.

Related Experiment Videos

  • The rapid convergence of its series solutions is a key advantage.
  • Conclusions:

    • The decomposition method is a valuable and efficient tool for addressing nonlinear functional equations.
    • This paper serves as a useful resource for understanding and applying the method.