378 = three hundred seventy eight.
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).
Answer:
4,000
Step-by-step explanation:
Answer: No, because 7^2 + 10^2 is > 12^2
Step-by-step explanation: 7^2 +10^2= 49 + 100= 149 149
144
Answer:
∠a = 42.5°
∠b = 87°
∠c = 174°
∠d = 90°
∠f = 131°
Step-by-step explanation:
∠a = 85°/2 = 42.5°
∠b = 360° -110° - 76° = 174°/2 = 87°
∠c = 360° -110° - 76° = 174°
∠d = 90°
∠f = 360° - 101° - (64° x 2) = 131°