Want this question answered?
Be notified when an answer is posted
Technically, a non-zero y-intercept can't exist in such a graph. If you were looking at such a graph, it was probably because they cut it short, and were just showing part of it.
If x2 is negative it will have a maximum value If x2 is positive it will have a minimum value
the brake or cut
There is no "this statement" associated with the question, but the maximum number of points which lie of the graph of a linear equation in two variables is infinite.
The opposite of a discrete graph is a continuous graph. A continuous graph is where one of the variables (usually time) can continue on past what the graph says. An example would be if some one was traking the weather hour be hour. They could stop the graph at one point, but the information carries on. A discrete graph is where niether of the variables could be carried out past the graph. An example would be a shirt sale graph of how many shirts for a certain amount of money. Technically, you could have five dollars for half a shirt but realistically, you wouldn't cut a shirt in half
A minimum cut in a graph is a set of edges that, when removed, disconnects the graph into two separate components. An example of a minimum cut in a graph is shown in the image below: Image of a graph with a set of edges highlighted that, when removed, disconnect the graph into two separate components
A min cut in graph theory is the smallest number of edges that need to be removed to disconnect a graph. It is important in graph theory because it helps identify the most crucial connections in a network. By finding the min cut, we can understand the resilience and connectivity of a graph.
A truncated graph has on of its axes cut off or "truncated"
The min cut algorithm in graph theory is important because it helps identify the minimum cut in a graph, which is the smallest set of edges that, when removed, disconnects the graph into two separate components. This is useful in various applications such as network flow optimization and clustering algorithms. The algorithm works by iteratively finding the cut with the smallest weight until the graph is divided into two separate components.
To determine the minimum cut in a graph, one can use algorithms such as Ford-Fulkerson or Karger's algorithm. These algorithms help identify the smallest set of edges that, when removed, disconnect the graph into two separate components. The minimum cut represents the fewest number of edges that need to be cut to separate the graph into two distinct parts.
The minimum cut in a graph is the smallest number of edges that need to be removed in order to disconnect the graph into two separate components. It is calculated using algorithms such as Ford-Fulkerson or Karger's algorithm, which iteratively find the cut with the fewest edges.
a graph shaped in a circle with its data cut into it with different colors like a pie.
The minimum cut algorithm is a method used to find the smallest cut in a graph, which is the fewest number of edges that need to be removed to disconnect the graph. The algorithm works by iteratively finding the cut with the smallest weight until the graph is divided into two separate components. This is achieved by selecting edges with the lowest weight and merging the nodes they connect until only two components remain.
In graph theory, a minimum cut is the smallest number of edges that need to be removed to disconnect a graph. It is calculated using algorithms like Ford-Fulkerson or Karger's algorithm, which find the cut that minimizes the total weight of the removed edges.
Max Final Cut - 2004 was released on: USA: 23 September 2004
In graph theory, a minimum cut is a set of edges that, when removed from the graph, disconnects the graph into two separate parts. This concept is important in various applications, such as network flow optimization and clustering algorithms. The minimum cut is calculated using algorithms like Ford-Fulkerson or Karger's algorithm, which aim to find the smallest set of edges that separates the graph into two distinct components.
The graph shows that as heart rate increases, VO2 max also increases. This indicates a positive relationship between heart rate and VO2 max, suggesting that higher heart rates are associated with higher levels of aerobic fitness.