Skip to content

[qr_decomp.md] Update np.random → Generator API #999

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
Chihiro2000GitHub wants to merge 1 commit into
base: main
Choose a base branch
from
+6 −4
Open

[qr_decomp.md] Update np.random → Generator API #999

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 6 additions & 4 deletions lectures/qr_decomp.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -169,6 +169,8 @@ Now let's write some homemade Python code to implement a QR decomposition by dep
```{code-cell} ipython3
import numpy as np
from scipy.linalg import qr

rng = np.random.default_rng()
```

```{code-cell} ipython3
Expand Down Expand Up @@ -354,7 +356,7 @@ Here goes

```{code-cell} ipython3
# experiment this with one random A matrix
A = np.random.random((3, 3))
A = rng.random((3, 3))
```

```{code-cell} ipython3
Expand Down Expand Up @@ -396,14 +398,14 @@ k = 5
n = 1000

# generate some random moments
𝜇 = np.random.random(size=k)
C = np.random.random((k, k))
𝜇 = rng.random(size=k)
C = rng.random((k, k))
Σ = C.T @ C
```

```{code-cell} ipython3
# X is random matrix where each column follows multivariate normal dist.
X = np.random.multivariate_normal(𝜇, Σ, size=n)
X = rng.multivariate_normal(𝜇, Σ, size=n)
```

```{code-cell} ipython3
Expand Down
Loading