Conjugate Gradient Method (Solving Quadratic Equations with Two Varaibles)

バージョン 1.0.0.0 (1.65 KB) 作成者: Soumitra Sitole
The algorithm summarizes the Conjugate Gradient method.

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更新 2017/3/12

ライセンスの表示

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

Soumitra Sitole (2022). 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. 取得済み .

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作成: R2016b
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謝辞

ヒントを与えたファイル: Modified Conjugate Gradient Method (Bivariate optimization)

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