Answer:
b. Bias- Spring balance shows variation in measurement due to fluctuations in room temperature
Step-by-step explanation:
15A- Damon earns around $320 (32 x 10)
15B - Damon earns $344.00 a week (32 x 10.75)
15C - Yes
I think that equation might have no solution
Answer: $29.75
Explanation: 1-0.15 = 0.85,
35(0.85) = 29.75
Answer:
In graph theory and computer science, an adjacency matrix is a square matrix used to represent a finite graph. The elements of the matrix indicate whether pairs of vertices are adjacent or not in the graph.
In the special case of a finite simple graph, the adjacency matrix is a (0,1)-matrix with zeros on its diagonal. If the graph is undirected, the adjacency matrix is symmetric. The relationship between a graph and the eigenvalues and eigenvectors of its adjacency matrix is studied in spectral graph theory.
The adjacency matrix should be distinguished from the incidence matrix for a graph, a different matrix representation whose elements indicate whether vertex–edge pairs are incident or not, and degree matrix which contains information about the degree of each vertex.
