2. Use trial and error to find two Hamiltonian circuits of different total weights, starting at vertex A in the weighted graph. Compute the total weight of each circuit. b. E 'D
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- 1. Suppose that, in Example 2.27, 400 units of food A, 600 units of B, and 600 units of C are placed in the test tube each day and the data on daily food consumption by the bacteria (in units per day) are as shown in Table 2.6. How many bacteria of each strain can coexist in the test tube and consume all of the food? Table 2.6 Bacteria Strain I Bacteria Strain II Bacteria Strain III Food A 1 2 0 Food B 2 1 1 Food C 1 1 2What is the maximum total weight of a Hamiltonian Circuit, starting from vertex A in the given weighted graph.What is the maximum and minimum total weight of a Hamiltonian Circuit, starting from vertex A in the given weighted graph.
- Find a Hamiltonian circuit in Cay({(1, 0), (0, 1)}:Z4 ⊕ Z6).1. Draw the edges needed in order to make the following graph complete. 2. Find any Hamiltonian circuit on your complete graph. Give your answer as a list of vertices, starting and ending at the same vertex. Example: ABCA image attachedAssuming Get Food Now achieved 12,000 interactions, how many of these would have resulted in customer being less than satisfied with their first interaction?
- Consider the given graph below. The weights represent the time, in minutes of reaching one destination from another destination. Using the Brute Force Method in this complete weighted graph, determine all the Hamilton circuits starting at L and its optimal solution.Use the Greedy Algorithm to find a Hamiltonian circuit starting at vertex D in the weighted graph shown below and show the total weight of theProve that a complete bipartile graph Ks,s has (s−1)!s!/2 Hamiltonian walks for s >1
- Please study the following Activity on Network Diagram and answer the questions below: Identify the Critical Path from the above AON Diagram. Calculate all the total floats. Calculate all the free floats.Show that the number of basic variables in an (m × n) transport table is m + n - 1.A purchaser of transistors buys them in lots of 20. It is his policy to randomly inspect 4components from a lot and to accept the lot if at least 3 are nondefective. Suppose eachlot contains exactly five defective transisters. What proportion of lots are rejected?