Non Overlapping Intervals
Explanation
To solve this coding challenge, we need to ensure that the remaining intervals after removing some become non-overlapping. The plan of action involves sorting the intervals based on their starting times and then iteratively checking for overlaps to decide which intervals to remove.Key Steps:
- Sorting the Intervals : We first sort the intervals based on their starting times. This helps in easily detecting overlaps as we traverse the intervals sequentially.
- Iterating Over Intervals : We then initialize a counter to keep track of the number of intervals we need to remove and set a variable to keep track of the endpoint of the previous interval.
- Check for Overlaps : For each interval, starting from the second one, we check if the current interval's start time is less than the previous interval's end time. If it is, it means there is an overlap.
- Handling Overlaps : For overlapping intervals, we need to increment our removal counter and update the end time of the interval that we keep. We always retain the interval with the smaller end time to maximize the number of non-overlapping intervals.
- Updating Non-overlapping Interval End Time : If there is no overlap, we simply update our endpoint tracker to the current interval's end time.
- Initialization :
- Sort the intervals by their start times.
-
Initialize a
counter
-
Initialize
previous_end
- Iteration :
- For each interval starting from the second one:
-
Compare the current interval's start with
previous_end
-
If there's an overlap, increment
counter
previous_end
previous_end
-
If no overlap, update
previous_end
- Return the Result :
- Return the counter value which represents the minimum number of intervals that need to be removed.
Detailed Steps in Pseudocode
Pseudocode
# Sort the intervals based on their start times
SORT intervals BY start_time
# Initialize count of intervals to remove and the end time of the previous interval
count = 0
previous_end = intervals[0][1]
# Iterate through the sorted intervals starting from the second interval
FOR i FROM 1 TO intervals.length - 1:
# If the current interval starts before the previous interval ends, there is an overlap
IF intervals[i][0] < previous_end:
# Increment the count of intervals to remove
count += 1
# Update the end time of the previous interval to the minimum of previous_end and the current interval's end
previous_end = MIN(previous_end, intervals[i][1])
ELSE:
# No overlap, update the end time of the previous interval to the current interval's end time
previous_end = intervals[i][1]
RETURN count
In this pseudocode:
-
SORT intervals BY start_time
-
FOR i FROM 1 TO intervals.length - 1:
-
IF intervals[i][0] < previous_end:
-
count += 1
-
previous_end = MIN(previous_end, intervals[i][1])
-
RETURN count