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What is a graph of a cubic function called?
A cubic graph!
How many Hamiltonian circuits not counting reversals are there in a complete graph with 7 vertices?
In a complete graph with ( n ) vertices, the number of distinct Hamiltonian circuits, not counting reversals, is given by ( \frac{(n-1)!}{2} ). For a complete graph with 7 vertices, this calculation is ( \frac{(7-1)!}{2} = \frac{6!}{2} = \frac{720}{2} = 360 ). Therefore, there are 360 distinct Hamiltonian circuits in a complete graph with 7 vertices when not considering reversals.
What is the general formula for a cubic graph?
The general formula for a cubic graph is y=ax3 + bx2 + cx + d.
When do you use a cubic graph?
Never Hahaha
By which process does a cubic equation draw into the graph?
By the process of plotting.
What is a hamiltonian path in a graph?
A Hamiltonian path in a graph is a path that visits every vertex exactly once. It does not need to visit every edge, only every vertex. If a Hamiltonian path exists in a graph, the graph is called a Hamiltonian graph.
What is the significance of a Hamiltonian cycle in a bipartite graph and how does it impact the overall structure and connectivity of the graph?
A Hamiltonian cycle in a bipartite graph is a cycle that visits every vertex exactly once and ends at the starting vertex. It is significant because it provides a way to traverse the entire graph efficiently. Having a Hamiltonian cycle in a bipartite graph ensures that the graph is well-connected and has a strong structure, as it indicates that there is a path that visits every vertex without repeating any. This enhances the overall connectivity and accessibility of the graph, making it easier to analyze and navigate.
How does the concept of a vertex cover relate to the existence of a Hamiltonian cycle in a graph?
In graph theory, a vertex cover is a set of vertices that covers all edges in a graph. The concept of a vertex cover is related to the existence of a Hamiltonian cycle in a graph because if a graph has a Hamiltonian cycle, then its vertex cover must include at least two vertices from each edge in the cycle. This is because a Hamiltonian cycle visits each vertex exactly once, so the vertices in the cycle must be covered by the vertex cover. Conversely, if a graph has a vertex cover that includes at least two vertices from each edge, it may indicate the potential existence of a Hamiltonian cycle in the graph.
What is a graph of a cubic function called?
A cubic graph!
How can the 3-SAT problem be reduced to the Hamiltonian cycle problem in polynomial time?
The 3-SAT problem can be reduced to the Hamiltonian cycle problem in polynomial time by representing each clause in the 3-SAT problem as a vertex in the Hamiltonian cycle graph, and connecting the vertices based on the relationships between the clauses. This reduction allows for solving the 3-SAT problem by finding a Hamiltonian cycle in the constructed graph.
How many Hamiltonian circuits not counting reversals are there in a complete graph with 7 vertices?
In a complete graph with ( n ) vertices, the number of distinct Hamiltonian circuits, not counting reversals, is given by ( \frac{(n-1)!}{2} ). For a complete graph with 7 vertices, this calculation is ( \frac{(7-1)!}{2} = \frac{6!}{2} = \frac{720}{2} = 360 ). Therefore, there are 360 distinct Hamiltonian circuits in a complete graph with 7 vertices when not considering reversals.
The graph of a cubic is called a parabola?
No. Parabola and the cubic graph are definitely two different things.
What is the significance of the Hamiltonian path problem in graph theory and its applications in various fields?
The Hamiltonian path problem in graph theory is significant because it involves finding a path that visits each vertex exactly once in a graph. This problem has applications in various fields such as computer science, logistics, and network design. It helps in optimizing routes, planning circuits, and analyzing connectivity in networks.
What is the general formula for a cubic graph?
The general formula for a cubic graph is y=ax3 + bx2 + cx + d.
Can a graph have a euler circuit but not a hamiltonian circuit?
Yes. Example: .................................................... ...A * ........................................... ......|.\ ......................................... eg Euler circuit: ACDCBA ......|...\ ........... --------- ............. ......|.....\........./...............\............ The Hamilton circuit is impossible as it has two ......|.......\...../...................\.......... halves (ACD & CD) connected to each other only ......|.........\./.......................\........ at vertex C. Once vertex C has been reached in ......|.......C *........................* D.... one half, it can only be used to start a path in ......|........./.\......................./......... the other half, or complete the cycle in the ......|......./.....\.................../........... current half; or if the path starts at C, it will end ......|...../.........\.............../............. without the other half being visited before C is ......|.../ ........... --------- .............. revisited. ......|./ ........................................... ...B *.............................................. ......................................................
When do you use a cubic graph?
Never Hahaha
What is the difference between NP and NP Complete problems?
- a problem in NP means that it can be solved in polynomial time with a non-deterministic turing machine - a problem that is NP-hard means that all problems in NP are "easier" than this problem - a problem that is NP-complete means that it is in NP and it is NP-hard example - Hamiltonian path in a graph: The problem is: given a graph as input, an algorithm must say whether there is a hamiltonian path in it or not. in NP: here is an algorithm that works in polynomial time on a non-deterministic turing machine: guess a path in the graph. Check that it is really a hamiltonian path. NP-hard: we use reduction from a problem that is NP-comlete (SAT for example). Given an input for the other problem we construct a graph for the hamiltonian-path problem. The graph should have a path iff the original problem should return "true". Therefore, if there is an algorithm that executes in polynomial time, we solve all the problems in NP in polynomial time.j
