public static int MinimumNumberOfBoats_UdemySolution(int[] weights, int maxWeight, int weightDiff)
{
// * the solution provided by the instructor doesn't take edge cases into account. Had to add them by had.
// * algo on the last if, i had to add a comparison, since the top.key && i might be the same, and if !isTaken[i]
// * that value is never popped
// * this solution seems overly complicated, since every solution works for every other lower solution
int n = weights.Length;
if (n == 0)
{
return(0);
}
if (n == 1)
{
if (weights[0] <= weightDiff)
{
return(1);
}
return(0);
}
Array.Sort(weights);
int ans = 0;
int p = 0;
List <bool> isTaken = new List <bool>(new bool[n]);
MaxHeap <BoatKey> pq = new MaxHeap <BoatKey>();
for (int i = n - 1; i >= 0; i--)
{
while (p < i && weights[p] + weights[i] <= maxWeight)
{
pq.Insert(new BoatKey(p, weights[p]));
p++;
}
if (isTaken[i])
{
continue;
}
while (!pq.IsEmpty() && weights[i] - pq.Top().Weight <= weightDiff)
{
if (isTaken[pq.Top().Key] || i == pq.Top().Key)
{
pq.RemoveTop();
continue;
}
isTaken[i] = isTaken[pq.Top().Key] = true;
pq.RemoveTop();
break;
}
ans++;
}
return(ans);
}
public static int MonsterKiller(int[] dmg, int hp, int potions)
{
if (dmg.Length == 0)
{
return(0);
}
MaxHeap <int> kills = new MaxHeap <int>();
int i = 0;
int l = dmg.Length;
while (hp > 0 && i < l)
{
if (dmg[i] > hp)
{
if (potions == 0)
{
return(i);
}
else
{
potions--;
if (!kills.IsEmpty())
{
if (dmg[i] <= kills.Top())
{
hp += kills.RemoveTop();
kills.Insert(dmg[i]);
}
}
}
}
else
{
hp -= dmg[i];
if (dmg[i] > 0)
{
kills.Insert(dmg[i]);
}
}
i++;
}
return(i);
}
/*
* Given arrivals & departures from several trains, find the min number of platforms needed to avoid waiting trains.
*/
public static int MinimumNumberOfPlatforms(List <ScheduleActivity> schedule)
{
if (schedule.Count < 2)
{
return(schedule.Count);
}
// * Using a MinHeap, I can always get the minimun time value (prioritizing departures over arrivals at the same time)
// * alongside it's operation (Arrival or Departure)
var realSchedule = new MaxHeap <ScheduleNode>();
foreach (var t in schedule)
{
realSchedule.Insert(new ScheduleNode(t.Start * -1, true));
realSchedule.Insert(new ScheduleNode(t.End * -1, false));
}
int ret = 0;
int remainingPlatforms = 0;
// * Whenever a train arrives, if there're remaining platforms, use them
// * Otherwise, you need a new platform.
// * When a train departs, the you've got a new remaining platform to use.
while (!realSchedule.IsEmpty())
{
var s = realSchedule.RemoveTop();
if (s.Arriving)
{
if (remainingPlatforms > 0)
{
remainingPlatforms--;
}
else
{
ret++;
}
}
else
{
remainingPlatforms++;
}
}
return(ret);
}
public static int ConnectRopes(int[] ropes)
{
MaxHeap <int> minHeap = new MaxHeap <int>();
for (int i = 0; i < ropes.Length; i++)
{
minHeap.Insert(ropes[i] * -1);
}
int ret = 0;
while (!minHeap.IsEmpty())
{
int x = minHeap.RemoveTop() * -1;
if (!minHeap.IsEmpty())
{
int y = minHeap.RemoveTop() * -1;
int newVal = (x + y) * -1;
minHeap.Insert(newVal);
ret += newVal * -1;
}
}
return(ret);
}
/*
* Given a Knapsack of capacity G, and X items with weight W and values V,
* fill the sack with the max value possible.
* Items can be splitted in parts.
*/
public static double Knapsack(int g, int[,] items)
{
int itemCount = items.GetLength(0);
double ret = 0;
if (itemCount == 0)
{
return(0);
}
if (itemCount == 1)
{
while (g > 0)
{
ret += items[0, 0] / items[0, 1];
g--;
}
return(ret);
}
MaxHeap <double> mh = new MaxHeap <double>();
for (int i = 0; i < itemCount; i++)
{
double valuePerWeight = (double)items[i, 0] / items[i, 1];
while (items[i, 1]-- > 0)
{
mh.Insert(valuePerWeight);
}
}
while (g > 0 && !mh.IsEmpty())
{
double x = mh.RemoveTop();
ret += x;
g--;
}
return(ret);
}