REPLICA: PR #355 #382
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REPLICA: PR #355 #382
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shlff
requested changes
Dec 19, 2023
lectures/lake_model.md
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| new_x = self.A_hat @ x | ||
| error = np.max(np.abs(new_x - x)) | ||
| x = new_x | ||
| x = np.array([self.A_hat[1, 0], self.A_hat[0, 1]]) |
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Suggested change
| x = np.array([self.A_hat[1, 0], self.A_hat[0, 1]]) | |
| x = np.array([self.A_hat[0, 1], self.A_hat[1, 0]]) |
Please find experiment:
https://gist.github.com/shlff/02f5aac35f8793cdf08935e13174b131
where method with x = np.array([self.A_hat[0, 1], self.A_hat[1, 0]]) generates the same result as the original iterative method.
lectures/lake_model.md
Outdated
| new_x = self.A_hat @ x | ||
| error = np.max(np.abs(new_x - x)) | ||
| x = new_x | ||
| x = np.array([self.A_hat[1, 0], self.A_hat[0, 1]]) |
There was a problem hiding this comment.
Suggested change
| x = np.array([self.A_hat[1, 0], self.A_hat[0, 1]]) | |
| x = np.array([self.A_hat[0, 1], self.A_hat[1, 0]]) |
Same here.
|
Closing as no longer required |
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This is a replicate of #355