Activity Selection Problem in DSA Go - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main goal of the Activity Selection Problem?

To select the maximum number of activities that don't overlap in time from a given set of activities with start and finish times.

beginner

Which algorithmic approach is commonly used to solve the Activity Selection Problem efficiently?

A greedy algorithm that selects activities based on earliest finish time first.

intermediate

Why do we sort activities by their finish times in the Activity Selection Problem?

Sorting by finish times ensures that when we pick an activity, we leave as much room as possible for the remaining activities to fit without overlapping.

intermediate

In the Activity Selection Problem, after selecting an activity, what is the next step?

Skip all activities that start before the selected activity finishes, then select the next activity that starts after the current one finishes.

intermediate

What is the time complexity of the Activity Selection Problem when using the greedy approach?

O(n log n) due to sorting the activities by their finish times, where n is the number of activities.

What is the first step in solving the Activity Selection Problem using a greedy approach?

A Select activities randomly

B Sort activities by their start times

C Select the longest activity first

D Sort activities by their finish times

Sorting activities by finish times helps pick the activity that frees up the schedule earliest.

After selecting an activity, which activities are skipped next?

A Activities that start before the selected activity finishes

B Activities that finish before the selected activity starts

C Activities with the longest duration

D All remaining activities

We skip activities that overlap by starting before the current activity finishes.

What does the Activity Selection Problem maximize?

A Total duration of selected activities

B Number of non-overlapping activities

C Sum of start times

D Number of overlapping activities

The goal is to select the maximum number of activities that do not overlap.

Which of these is NOT true about the greedy solution to the Activity Selection Problem?

A It always picks the activity with the earliest finish time next

B It guarantees an optimal solution

C It requires checking all subsets of activities

D It runs in O(n log n) time due to sorting

The greedy approach does not check all subsets; it uses a simple selection after sorting.

If two activities have the same finish time, which one should be chosen first in the greedy approach?

A Either one, since finish times are equal

B The one with the later start time

C The one with the earlier start time

D The one with the longer duration

If finish times are equal, either can be chosen as they finish simultaneously.

Explain how the greedy algorithm solves the Activity Selection Problem step-by-step.

Think about choosing activities that free up time earliest.

Describe why sorting by finish time is crucial in the Activity Selection Problem.

Consider how finish times affect scheduling.

Practice

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

easy

A. Find the activity with the longest duration

B. Sort activities by their start times

C. Select the maximum number of activities that don't overlap

D. Calculate the total time of all activities

Solution

1. Step 1: Understand the problem goal

   The Activity Selection Problem aims to choose activities that do not overlap in time.

2. Step 2: Identify the objective

   The objective is to select the maximum number of such non-overlapping activities.

3. Final Answer:

   Select the maximum number of activities that don't overlap -> Option C

4. Quick Check:

   Goal = Max non-overlapping activities [OK]

Hint: Pick activities with earliest finish times first [OK]

Common Mistakes:

• Choosing activities based on longest duration
• Sorting by start time only
• Trying to maximize total duration instead of count

2. Which of the following Go code snippets correctly sorts activities by their finish time for the Activity Selection Problem?

easy

A. sort.Ints(activities)

B. sort.Slice(activities, func(i, j int) bool { return activities[i].start < activities[j].start })

C. sort.Sort(activities)

D. sort.Slice(activities, func(i, j int) bool { return activities[i].finish < activities[j].finish })

Solution

1. Step 1: Identify sorting criteria

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

2. Step 2: Check Go sorting syntax

   Using sort.Slice with a comparison function on finish times is correct.

3. Final Answer:

   sort.Slice(activities, func(i, j int) bool { return activities[i].finish < activities[j].finish }) -> Option D

4. Quick Check:

   Sort by finish time = sort.Slice(activities, func(i, j int) bool { return activities[i].finish < activities[j].finish }) [OK]

Hint: Sort activities by finish time using sort.Slice [OK]

Common Mistakes:

• Sorting by start time instead of finish time
• Using sort.Ints on struct slices
• Calling sort.Sort without implementing sort.Interface

3. What is the output of the following Go code snippet that implements the Activity Selection Problem?

package main
import (
  "fmt"
  "sort"
)
type Activity struct {
  start, finish int
}
func main() {
  activities := []Activity{{1, 4}, {3, 5}, {0, 6}, {5, 7}, {8, 9}, {5, 9}}
  sort.Slice(activities, func(i, j int) bool { return activities[i].finish < activities[j].finish })
  count := 1
  lastFinish := activities[0].finish
  for i := 1; i < len(activities); i++ {
    if activities[i].start >= lastFinish {
      count++
      lastFinish = activities[i].finish
    }
  }
  fmt.Println(count)
}

medium

A. 4

B. 3

C. 2

D. 5

Solution

1. Step 1: Sort activities by finish time

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

2. Step 2: Select activities greedily

   Select (1,4), next (5,7) since 5 >= 4, then (8,9) since 8 >= 7. Total selected = 3.

3. Final Answer:

   3 -> Option B

4. Quick Check:

   Max non-overlapping = 3 [OK]

Hint: Count activities with start >= last selected finish [OK]

Common Mistakes:

• Counting overlapping activities
• Not sorting by finish time
• Starting count from zero instead of one

4. Identify the bug in this Go code snippet for the Activity Selection Problem:

package main
import (
  "fmt"
  "sort"
)
type Activity struct {
  start, finish int
}
func main() {
  activities := []Activity{{1, 3}, {2, 5}, {4, 7}}
  sort.Slice(activities, func(i, j int) bool { return activities[i].start < activities[j].start })
  count := 1
  lastFinish := activities[0].finish
  for i := 1; i < len(activities); i++ {
    if activities[i].start >= lastFinish {
      count++
      lastFinish = activities[i].finish
    }
  }
  fmt.Println(count)
}

medium

A. Sorting by start time instead of finish time

B. Initializing count to zero instead of one

C. Using wrong comparison operator in if condition

D. Not importing the fmt package

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 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 A

4. Quick Check:

   Sort by finish time needed [OK]

Hint: Always sort by finish time, not start time [OK]

Common Mistakes:

• Sorting by start time
• Forgetting to update lastFinish
• Starting count at zero

5. Given the following activities with start and finish times: [(1, 2), (3, 4), (0, 6), (5, 7), (8, 9), (5, 9)], what is the maximum number of activities that can be selected without overlap using the Activity Selection Problem approach?

hard

A. 4

B. 5

C. 3

D. 6

Solution

1. Step 1: Sort activities by finish time

   Sorted activities: (1,2), (3,4), (0,6), (5,7), (8,9), (5,9)

2. Step 2: Select activities greedily

   Select (1,2), then (3,4) since 3 >= 2, then (5,7) since 5 >= 4, then (8,9) since 8 >= 7. Total selected = 4.

3. Final Answer:

   4 -> Option A

4. Quick Check:

   Max non-overlapping = 4 [OK]

Hint: Pick earliest finishing activities that start after last finish [OK]

Common Mistakes:

• Including overlapping activities
• Not sorting by finish time
• Counting all activities without checking overlap