Activity Selection Problem in DSA C++ - Time & Space Complexity

Time Complexity: Activity Selection Problem

O(n log n)

Understanding Time Complexity

We want to understand how the time needed to pick the most activities grows as the number of activities increases.

How does the program's work change when we have more activities to choose from?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

#include <iostream>
#include <vector>
#include <algorithm>

using namespace std;

int activitySelection(vector<pair<int,int>> &activities) {
    sort(activities.begin(), activities.end(), [](auto &a, auto &b) { return a.second < b.second; });
    int count = 1, last_end = activities[0].second;
    for (int i = 1; i < activities.size(); i++) {
        if (activities[i].first >= last_end) {
            count++;
            last_end = activities[i].second;
        }
    }
    return count;
}
    

This code selects the maximum number of activities that don't overlap by sorting them by finish time and then picking compatible ones.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: Sorting the activities by their finish time.
• How many times: Sorting runs once over all activities, then a single loop checks each activity once.

How Execution Grows With Input

Sorting takes more time as the number of activities grows, and the loop checks each activity once.

Input Size (n)	Approx. Operations
10	About 10 log 10 + 10 = 40 operations
100	About 100 log 100 + 100 = 700 operations
1000	About 1000 log 1000 + 1000 = 10,000 operations

Pattern observation: The work grows a bit faster than the number of activities because of sorting, but the loop grows linearly.

Final Time Complexity

Time Complexity: O(n log n)

This means the time needed grows a little faster than the number of activities because sorting takes the most time.

Common Mistake

[X] Wrong: "The loop checking activities is the slowest part, so the complexity is O(n)."

[OK] Correct: Sorting the activities takes more time than the loop, so it dominates the total time.

Interview Connect

Understanding this problem helps you practice sorting and greedy choices, skills often needed to solve real-world scheduling tasks efficiently.

Self-Check

"What if the activities were already sorted by finish time? How would the time complexity change?"

Practice

1. What is the main goal of the Activity Selection Problem?

easy

A. Calculate the total time of all activities

B. Find the activity with the longest duration

C. Sort activities by their start time

D. Select the maximum number of activities that don't overlap in time

Solution

1. Step 1: Understand the problem goal

   The Activity Selection Problem aims to choose the largest set of activities that do not overlap in their time intervals.

2. Step 2: Identify the correct goal

   Among the options, only selecting the maximum number of non-overlapping activities matches the problem's goal.

3. Final Answer:

   Select the maximum number of activities that don't overlap in time -> Option D

4. Quick Check:

   Goal = Max non-overlapping activities [OK]

Hint: Focus on maximizing non-overlapping activities [OK]

Common Mistakes:

• Confusing longest duration with maximum count
• Sorting by start time only
• Summing all activity durations

2. Which of the following is the correct way to sort activities by their finish time in C++ using std::sort?

easy

A. std::sort(activities.begin(), activities.end(), [](auto &a, auto &b){ return a.start < b.start; });

B. std::sort(activities.begin(), activities.end(), [](auto &a, auto &b){ return a.finish < b.finish; });

C. std::sort(activities.begin(), activities.end());

D. std::sort(activities.begin(), activities.end(), [](auto &a, auto &b){ return a.duration > b.duration; });

Solution

1. Step 1: Identify sorting criteria for Activity Selection

   Activities must be sorted by their finish time to apply the greedy approach correctly.

2. Step 2: Match sorting code to finish time

   std::sort(activities.begin(), activities.end(), [](auto &a, auto &b){ return a.finish < b.finish; }); sorts activities by their finish time using a lambda comparator, which is the correct syntax.

3. Final Answer:

   std::sort(activities.begin(), activities.end(), [](auto &a, auto &b){ return a.finish < b.finish; }); -> Option B

4. Quick Check:

   Sort by finish time = std::sort(activities.begin(), activities.end(), [](auto &a, auto &b){ return a.finish < b.finish; }); [OK]

Hint: Sort activities by finish time using a lambda [OK]

Common Mistakes:

• Sorting by start time instead of finish time
• Using default sort without comparator on custom structs
• Sorting by duration which is not needed

3. What will be the output of the following C++ code snippet for the Activity Selection Problem?

struct Activity {
  int start, finish;
};

Activity activities[] = {{1, 3}, {2, 5}, {4, 7}, {6, 9}};
int n = 4;

std::sort(activities, activities + n, [](Activity a, Activity b) { return a.finish < b.finish; });

int count = 1, last_finish = activities[0].finish;
for (int i = 1; i < n; i++) {
  if (activities[i].start >= last_finish) {
    count++;
    last_finish = activities[i].finish;
  }
}
std::cout << count;

medium

A. 3

B. 2

C. 4

D. 1

Solution

1. Step 1: Sort activities by finish time

   Sorted activities by finish time: (1,3), (2,5), (4,7), (6,9)

2. Step 2: Select activities greedily

   Start with first activity (1,3). Next, (2,5) starts at 2 < 3, skip. (4,7) starts at 4 >= 3, select, last_finish=7. (6,9) starts at 6 < 7, skip. Total selected = 3.

3. Final Answer:

   3 -> Option A

4. Quick Check:

   Max non-overlapping activities = 3 [OK]

Hint: Sort by finish time, pick next starting after last finish [OK]

Common Mistakes:

• Counting overlapping activities
• Not updating last_finish correctly
• Assuming all activities can be selected

4. Identify the error in the following C++ code snippet for the Activity Selection Problem:

struct Activity {
  int start, finish;
};

Activity activities[] = {{1, 2}, {3, 4}, {0, 6}, {5, 7}};
int n = 4;

std::sort(activities, activities + n, [](Activity a, Activity b) { return a.start < b.start; });

int count = 1, last_finish = activities[0].finish;
for (int i = 1; i < n; i++) {
  if (activities[i].start >= last_finish) {
    count++;
    last_finish = activities[i].finish;
  }
}
std::cout << count;

medium

A. Not initializing count to zero

B. Using wrong loop range in for loop

C. Sorting by start time instead of finish time

D. Comparing start time with finish time incorrectly

Solution

1. Step 1: Check sorting criteria

   The code sorts activities by start time, but the greedy approach requires sorting by finish time.

2. Step 2: Understand impact of wrong sorting

   Sorting by start time can cause incorrect selection of activities, leading to wrong count.

3. Final Answer:

   Sorting by start time instead of finish time -> Option C

4. Quick Check:

   Sort by finish time needed, not start time [OK]

Hint: Always sort by finish time for activity selection [OK]

Common Mistakes:

• Sorting by start time
• Incorrect initialization of count
• Wrong loop boundaries

5. Given the following activities with start and finish times:

activities = [(1, 4), (3, 5), (0, 6), (5, 7), (8, 9), (5, 9)]

Using the Activity Selection Problem approach, which set of activities represents the maximum number of non-overlapping activities?

hard

A. [(1, 4), (5, 7), (8, 9)]

B. [(0, 6), (5, 9)]

C. [(3, 5), (5, 7), (8, 9)]

D. [(1, 4), (3, 5), (5, 9)]

Solution

1. Step 1: Sort activities by finish time

   Sorted by finish time: (1,4), (3,5), (0,6), (5,7), (8,9), (5,9)

2. Step 2: Select activities greedily

   Select (1,4). Next, (3,5) overlaps with (1,4), skip. (0,6) overlaps, skip. (5,7) starts after 4, select. (8,9) starts after 7, select. (5,9) overlaps with (5,7), skip.

3. Final Answer:

   [(1, 4), (5, 7), (8, 9)] -> Option A

4. Quick Check:

   Max non-overlapping set = [(1, 4), (5, 7), (8, 9)] [OK]

Hint: Sort by finish time, pick next starting after last finish [OK]

Common Mistakes:

• Choosing overlapping activities
• Not sorting before selection
• Selecting activities with later finish times first