Conjugate Gradient Method (Solving Quadratic Equations with Two Varaibles)

The algorithm summarizes the Conjugate Gradient method.

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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.

引用格式

Soumitra Sitole (2026). Conjugate Gradient Method (Solving Quadratic Equations with Two Varaibles) (https://ww2.mathworks.cn/matlabcentral/fileexchange/62011-conjugate-gradient-method-solving-quadratic-equations-with-two-varaibles), MATLAB Central File Exchange. 检索时间: .

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