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authorGanesh Kathiresan <ganesh3597@gmail.com>2022-04-18 20:15:53 +0530
committerGanesh Kathiresan <ganesh3597@gmail.com>2022-04-18 20:15:53 +0530
commit8e447c8d64fc88390a5dcc4f205fad40fe470f4e (patch)
tree10092a6491a57ae93682d298fd4e79ba5cac372d
parent968ca6caf165ed846b5e9448294a095dcd6c3d15 (diff)
downloadnumpy-8e447c8d64fc88390a5dcc4f205fad40fe470f4e.tar.gz
MAINT: Added comment for kron working
-rw-r--r--numpy/lib/shape_base.py9
1 files changed, 9 insertions, 0 deletions
diff --git a/numpy/lib/shape_base.py b/numpy/lib/shape_base.py
index d8f1644a2..ab91423d9 100644
--- a/numpy/lib/shape_base.py
+++ b/numpy/lib/shape_base.py
@@ -1139,6 +1139,15 @@ def kron(a, b):
True
"""
+ # Working:
+ # 1. Equalise the shapes by prepending smaller array with 1s
+ # 2. Expand shapes of both the arrays by adding new axes at
+ # odd positions for 1st array and even positions for 2nd
+ # 3. Compute the product of the modified array
+ # 4. The inner most array elements now contain the rows of
+ # the Kronecker product
+ # 5. Reshape the result to kron's shape, which is same as
+ # product of shapes of the two arrays.
b = asanyarray(b)
a = array(a, copy=False, subok=True, ndmin=b.ndim)
is_any_mat = isinstance(a, matrix) or isinstance(b, matrix)