1
Q
Multiplying matrices and vectors
we need to view the vector as a ______ matrix
A
column
2
Q
Multiplying matrices and vectors
matrix A, vector x
We define the matrix-vector product only for the case when the number of _______ in A equals the number of _________ in x.
A
columns in A
rows in x
3
Q
What does this mean:
⊆
A
is a subset of
(the two subsets in question may be equal)
4
Q
What does this mean:
⊂
A
is a proper subset of
(the two sets in question are not equal)
*M ACN
flashcards
Decks in class (14)
# Cards
-
R stuff28
-
0 | refreshing basics4
-
1 | intro to networks; DFS and BFS59
-
2 | articulation point / bridge and their importance0
-
3 | network properties and types25
-
4 | centrality measures : distance-based, eigenvalue-based0
-
5 | network randomization and random network models : empirical p-value0
-
6 | subnetworks and their properties : network motifs0
-
7 | clustering and networks I : data clustering and cluster quality measures0
-
8 | clustering and networks II : network clustering (cuts) and cluster quality measures0
-
9 | max flow min cut : applications in clusterin0
-
10 | network alignment : approaches and applications0
-
11 | – network representation of data / single cell RNA seq : geometric network representation0
-
12 | advanced topics – machine learning and networks (graph neural networks)0
