In this Article, We will discuss about the Adjacency Matrix in Java. The Adjacency matrix is a way to represent a graph using a matrix, where the rows and columns of the matrix represent the vertices of the graph. If there is an edge between two vertices, then the corresponding entry in the matrix is set to 1. Otherwise, it is set to 0.
Adjacency Matrix:
An adjacency matrix in Java is a way to represent a graph using a two-dimensional array. In this representation, each row and column of the matrix represents a vertex in the graph, and the value at the intersection of the row and column indicates whether there is an edge between those vertices.
If the value is 1, it means that there is an edge between the vertices, while a value of 0 means that there is no edge.
In this matrix, the row and column with index 0 represent vertex 1, the row and column with index 1 represent vertex 2, and so on.
NoteNote that this representation is most commonly used for sparse graphs, where the number of edges is much less than the number of possible edges. For dense graphs, an adjacency list may be a more efficient representation.
Advantages to Use Adjacency Matrix
Efficient edge lookupUsing an adjacency matrix allows for constant-time (O(1)) lookup of whether an edge exists between two vertices. This is because the matrix is stored as a 2D array, and the entry at position (i, j) indicates whether there is an edge between vertices i and j.
Ease of implementationImplementing an adjacency matrix is straightforward, as it involves simply initializing a 2D array with the appropriate values. This makes it a good choice for small to medium-sized graphs.
Efficient iteration over all edgesBecause the adjacency matrix stores all the edges in the graph, iterating over all edges can be done in O(V^2) time, where V is the number of vertices. This is efficient for small to medium-sized graphs.
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