There is not "a" greedy algorithm; "greedy algorithm" is a term to describe several algorithms that have some things in common. The general idea is that at each step, you look for what seems to be, "locally", the best solution. For example, in a shortest-distance problem, look for a step that takes you closer to the destination. This may, or may not, lead to the best solution overall.
Speed = Distance/Time
A safe following distance is typically measured in seconds rather than feet. A common guideline is to maintain a following distance of at least three seconds behind the vehicle in front of you. This allows adequate time to react in case of sudden stops or emergencies. In adverse weather conditions, it's advisable to increase this distance to four or more seconds for added safety.
When driving in the rain, it's recommended to increase your following distance to at least four seconds. This extra space allows for more time to react to sudden stops or emergencies, as wet roads can reduce traction and increase stopping distance. Always adjust your following distance further if conditions worsen, such as heavy rain or reduced visibility.
The question asks about the "following". In those circumstances would it be too much to expect that you make sure that there is something that is following?
Distance Vector protocols use the Bellmanâ??Ford algorithm. The ARPANET system relied on Distance Vector protocols as their main routing technique in the early 80s.
This distance-vector algorithm works by computing the shortest path , and considers weights. The algorithm was distributed widely in the RIP protocol.
The distance vector algorithm does not take into account current traffic, type of link, speed of link, type of endpoint routers, etc. It cannot adjust for changes in network traffic and bottlenecks.
Computer programming is somewhat useful in learning the distance formula in Algebra 1. Learning the distance formula has more to do with your ability at mathmetics and you want to learn.
In a sense, it is since your tracking and jogging distance is calculated by an algorithm programmed into it.
When following large trucks, maintain at least a minimum of a ______ second following distance.
Following distance is the space between your vehicle and the vehicle in front of you while driving. Maintaining a safe following distance allows you more time to react to sudden stops or changes in traffic situations, helping to prevent rear-end collisions. The general rule is to keep at least a 3-second distance in good weather conditions, and more in adverse conditions.
The technique used for determining the proper following distance is the "3- second" rule.
The algorithm for bubble sort, also know as pair exchange...Set a swap flag falseLoop for the first N-1 elementsCompare each element with the following elementIf the two elements are in the correct order, continue to next loop iterationOtherwise, swap the two elements and set the swap flag trueAt loop end, if the swap flag is true, repeat starting at step 1Otherwise, sort completedBubble sort is so named because out of order elements "bubble" to the end of the array, moving one step per inner loop iteration.As stated above, the algorithm is slow because it takes a while for a significantly out of order element to reach its final point when it needs to come closer to the beginning of the array. It can be improved by introducing a "distance" parameter, initially set to one half of the array size, and using that distance in step 3 to choose the second element. After the algorithm is completed for that distance, the distance is halved, and we iterate the entire algorithm until the distance is only one. (This variation is more formally known as merge exchange, but it still retains the "bubble" characteristic.)
computing fundamentals and c programming
When driving, you should always measure your following distance in seconds. A general rule of thumb is to maintain a following distance of at least 3-4 seconds between your vehicle and the one in front of you. This distance allows you enough time to react and brake safely in case of an emergency.
There is not "a" greedy algorithm; "greedy algorithm" is a term to describe several algorithms that have some things in common. The general idea is that at each step, you look for what seems to be, "locally", the best solution. For example, in a shortest-distance problem, look for a step that takes you closer to the destination. This may, or may not, lead to the best solution overall.