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Can a slope of a graph be a decimal?
Yes it can.
What is textual graph?
A textual graph is a graph where the results and comparisons are written out instead of expressed in numbers. A textual graph has a list of comparisons divided into columns much like a pros and cons list.
How do you use a number grid to show a decimal?
Graph it as a fraction
How do you put decimal into a graph?
By picking numbers and graphing it loser! hehehehhe
What decimal numbers that are between 4.78 and 4.79?
That's an infinite list.
Can a slope of a graph be a decimal?
Yes it can.
What is textual graph?
A textual graph is a graph where the results and comparisons are written out instead of expressed in numbers. A textual graph has a list of comparisons divided into columns much like a pros and cons list.
What is textual?
A textual graph is a graph where the results and comparisons are written out instead of expressed in numbers. A textual graph has a list of comparisons divided into columns much like a pros and cons list.
How do you use a number grid to show a decimal?
Graph it as a fraction
How do you put decimal into a graph?
By picking numbers and graphing it loser! hehehehhe
What are the differences between an edge list and an adjacency list in graph theory?
In graph theory, an edge list is a simple list that shows the connections between nodes in a graph by listing the pairs of nodes that are connected by an edge. An adjacency list, on the other hand, is a more structured representation that lists each node and its neighboring nodes. The main difference is that an edge list focuses on the edges themselves, while an adjacency list focuses on the nodes and their connections.
What is an adjacency list in the context of data structures and how is it used to represent relationships between vertices in a graph?
An adjacency list is a data structure used to represent relationships between vertices in a graph. It consists of a list of vertices, where each vertex has a list of its neighboring vertices. This allows for efficient storage and retrieval of information about the connections between vertices in a graph.
What is the difference between a data table and a graph?
A data table is a list of statistics - a graph is a physical representation of the data.
What is the adjacency list representation of a directed graph?
In a directed graph, the adjacency list representation is a data structure that stores each vertex and its outgoing edges in a list. Each vertex is associated with a list of its neighboring vertices that it has an edge pointing towards. This representation is commonly used to efficiently store and retrieve information about the connections between vertices in a directed graph.
How can an adjacency list be utilized to represent a graph effectively?
An adjacency list can be used to represent a graph effectively by storing each vertex as a key in a dictionary or array, with its corresponding list of adjacent vertices as the value. This allows for efficient storage of connections between vertices and quick access to neighboring vertices for various graph algorithms.
What are the key characteristics and applications of an adjacency list graph?
An adjacency list graph is a data structure that represents connections between vertices in a graph. It is efficient for sparse graphs with fewer edges. Each vertex is stored with a list of its neighboring vertices, making it easy to find adjacent vertices and traverse the graph. This data structure is commonly used in algorithms like depth-first search and breadth-first search.
What are the differences between adjacency list and edge list in graph data structures?
In graph data structures, an adjacency list represents connections between nodes by storing a list of neighbors for each node. On the other hand, an edge list simply lists all the edges in the graph without explicitly showing the connections between nodes. The main difference is that adjacency lists focus on nodes and their relationships, while edge lists focus on the edges themselves.
