HAM (Homotopy Analysis Method) in MATLAB

HAM is a powerful technique for solving nonlinear equations. MATLAB, with its strong numerical computation capabilities, is a suitable platform for implementing HAM. Here's what you can find:

• Concepts: There's a wealth of information available online about HAM itself. You can refer to resources explaining the core idea behind HAM https://www.sciencedirect.com/science/article/pii/S0096300302007907.
• MATLAB Applications: While there might not be readily available code for OHAM, there are examples for implementing HAM in MATLAB. These examples can be a good starting point for understanding how to code a similar method:MathWorks Videos: MathWorks offers video tutorials on performing structural analysis using the finite element method with HAM in MATLAB https://www.mathworks.com/videos/series/finite-element-analysis-in-matlab.html. This might not be directly applicable to OHAM, but it showcases the general approach of using HAM within MATLAB. YouTube Videos: You can find videos on YouTube that demonstrate implementing HAM for solving nonlinear equations in MATLAB https://www.youtube.com/watch?v=Llz7befTAnU. These can provide valuable insights into the coding structure.

Key Points:

• While information on OHAM in MATLAB is scarce, HAM provides a solid foundation for understanding the implementation process.
• Look for resources explaining HAM and its MATLAB applications.
• Adapt the concepts from HAM examples to potentially develop your OHAM code.

Additional Tips:

• Search for research papers that mention OHAM and MATLAB implementation. They might provide code snippets or references for further exploration.
• Consider contacting the developers of OHAM (if known) to inquire about available MATLAB code or resources.