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correcting einsum equivalent of outer function

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ibah 2016-12-09 12:39:01 +01:00
parent 946647cb40
commit 995c2c8f64
2 changed files with 2 additions and 2 deletions
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100 Numpy exercises.ipynb
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@ -2234,7 +2234,7 @@
"np.einsum('i->', A) # np.sum(A)\n", "np.einsum('i->', A) # np.sum(A)\n",
"np.einsum('i,i->i', A, B) # A * B\n", "np.einsum('i,i->i', A, B) # A * B\n",
"np.einsum('i,i', A, B) # np.inner(A, B)\n", "np.einsum('i,i', A, B) # np.inner(A, B)\n",
"np.einsum('i,j', A, B) # np.outer(A, B)" "np.einsum('i,j->ij', A, B) # np.outer(A, B)"
] ]
}, },
{ {

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100 Numpy exercises.md
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@ -1160,7 +1160,7 @@ B = np.random.uniform(0,1,10)
np.einsum('i->', A) # np.sum(A) np.einsum('i->', A) # np.sum(A)
np.einsum('i,i->i', A, B) # A * B np.einsum('i,i->i', A, B) # A * B
np.einsum('i,i', A, B) # np.inner(A, B) np.einsum('i,i', A, B) # np.inner(A, B)
np.einsum('i,j', A, B) # np.outer(A, B) np.einsum('i,j->ij', A, B) # np.outer(A, B)
``` ```
#### 98. Considering a path described by two vectors (X,Y), how to sample it using equidistant samples (★★★)? #### 98. Considering a path described by two vectors (X,Y), how to sample it using equidistant samples (★★★)?