Answer:
Check the explanation
Step-by-step explanation:
1) Algorithm for finding the new optimal flux: 1. Let E' be the edges eh E for which f(e)>O, and let G = (V,E). Find in Gi a path Pi from s to u and a path , from v to t.
2) [Special case: If , and have some edge e in common, then Piu[(u,v)}uPx has a directed cycle containing (u,v). In this instance, the flow along this cycle can be reduced by a single unit without any need to change the size of the overall flow. Return the resulting flow.]
3) Reduce flow by one unit along
4) Run Ford-Fulkerson with this sterling flow.
Justification and running time: Say the original flow has see F. Lees ignore the special case (4 After step (3) Of the elgorithuk we have a legal flaw that satisfies the new capacity constraint and has see F-1. Step (4). FOrd-Fueerson, then gives us the optimal flow under the new cePacie co mint. However. we know this flow is at most F, end thus Ford-Fulkerson runs for just one iteration. Since each of the steps is linear, the total running time is linear, that is, O(lVl + lEl).
5.51181102 feet (5 feet 6 9⁄64 inches)
Answer:
1: 2
2: 5
3: 8
4: 11
5: 14
Step-by-step explanation:
To get the table values, plug the x values into the function.
3(1)-1 = 2
3(2)-1 = 5
3(3)-1 = 8
3(4)-1 = 11
3(5)-1=14
Answer:
4x+2.50=14.30 x=$2.95
Step-by-step explanation: First you set it up into a equation 4x+2.50=14.30 then you subtract the 2.50 from both sides making it 4x=11.80 then you get x alone by dividing by 4 on both sides and you get x=2.95
Answer and Step-by-step explanation:
Plug in 4 for r, since 4 is half of 8, and 8 is the diameter, and the radius is half of the diameter.
We get the answer to be , or 50.2655.
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