image thumbnail

Conjugate Gradient Method (Solving Quadratic Equations with Two Varaibles)

version 1.0.0.0 (1.65 KB) by Soumitra Sitole
The algorithm summarizes the Conjugate Gradient method.

682 Downloads

Updated 12 Mar 2017

View License

The code highlights the Fletcher Reeve's Method or Conjugate Gradient Method. This method exploits the advantage of conjugate directions and hence is quadratically convergent. It takes only 3 iterations or 2 searches to solve a quadratic equation. The optimum for the same example as shown in this algorithm took 56 iterations with Steepest Descent.(Refer Steepest Descent Code); while this algorithm converges in only 3 iterations same initial guess or start point.

Cite As

Soumitra Sitole (2021). Conjugate Gradient Method (Solving Quadratic Equations with Two Varaibles) (https://www.mathworks.com/matlabcentral/fileexchange/62011-conjugate-gradient-method-solving-quadratic-equations-with-two-varaibles), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2016b
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!