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.
Answer:
Step-by-step explanation:
![= (x +1 ) \cdot \frac{(2x - 1)^{\frac{3}{2}}}{3} - \int \frac{(2x - 1)^{\frac{3}{2}}}{3} dx \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ [ \ u = x + 1 => du = dx \ ]](https://tex.z-dn.net/?f=%3D%20%28x%20%2B1%20%29%20%5Ccdot%20%5Cfrac%7B%282x%20-%201%29%5E%7B%5Cfrac%7B3%7D%7B2%7D%7D%7D%7B3%7D%20-%20%5Cint%20%5Cfrac%7B%282x%20-%201%29%5E%7B%5Cfrac%7B3%7D%7B2%7D%7D%7D%7B3%7D%20dx%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%5C%20%20%5B%20%5C%20u%20%3D%20x%20%2B%201%20%3D%3E%20du%20%3D%20dx%20%20%5C%20%5D)
Answer:
its 18 trust
Step-by-step explanation:
Answer:
correct me if Im wrong but
I think it would be 35.293
Answer is: <span>m<POS=60 m<POQ=120</span>
