File:WX20211128-010551@2x.png

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Figure 1. A comparison of the convergence of gradient descent (in green) and conjugate vector (in red) for minimizing a quadratic function. In theory, the conjugate gradient method converges in at most n steps, where n is the size of the matrix of the system (here n = 2).

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