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DSA Javascriptprogramming~10 mins

Allocate Minimum Pages Binary Search on Answer in DSA Javascript - Execution Trace

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Concept Flow - Allocate Minimum Pages Binary Search on Answer
Set low = max(pages array)
↓
Set high = sum(pages array)
↓
While low <= high
↓
mid = Math.floor((low+high)/2)
↓
Check if mid can allocate
↓
high = mid - 1
↓
low = mid + 1
↓
Return low as minimum pages allocation
We use binary search on the range of possible page allocations, checking feasibility each time, narrowing down to the minimum maximum pages per student.
Execution Sample
DSA Javascript
function isPossible(pages, students, mid) {
  let required = 1, currentSum = 0;
  for (let page of pages) {
    if (page > mid) return false;
    if (currentSum + page > mid) {
      required++;
      currentSum = page;
    } else {
      currentSum += page;
    }
  }
  return required <= students;
}
This function checks if it is possible to allocate books so that no student reads more than mid pages.
Execution Table
StepOperationlowhighmidCheck FeasibilityResultActionVisual State
1Initialize low and highmax pages=40sum pages=100----[Pages: 10,20,30,40]
2Calculate mid4010070Check if max pages per student <= 70Yeshigh = mid - 1 = 69[Allocations possible with max 70]
3Calculate mid406954Check if max pages per student <= 54Nolow = mid + 1 = 55[Allocations not possible with max 54]
4Calculate mid556962Check if max pages per student <= 62Yeshigh = mid - 1 = 61[Allocations possible with max 62]
5Calculate mid556158Check if max pages per student <= 58Nolow = mid + 1 = 59[Allocations not possible with max 58]
6Calculate mid596160Check if max pages per student <= 60Yeshigh = mid - 1 = 59[Allocations possible with max 60]
7Calculate mid595959Check if max pages per student <= 59Nolow = mid + 1 = 60[Allocations not possible with max 59]
8Exit loop6059----[Minimum max pages = 60]
💡 Loop ends when low (60) > high (59), minimum max pages allocation found.
Variable Tracker
VariableStartAfter Step 2After Step 3After Step 4After Step 5After Step 6After Step 7Final
low4040555559596060
high10069696161595959
mid-705462586059-
Feasibility-YesNoYesNoYesNo-
Key Moments - 3 Insights
Why do we set low to the maximum pages in the array initially?
Because no student can be assigned less than the largest single book, as books cannot be split. See execution_table row 1 where low is set to max pages 40.
Why do we move low up when allocation is not possible with mid?
If mid is too small to allocate all books within student limits, we increase low to mid + 1 to try a larger max allocation. See execution_table rows 3 and 5 where feasibility is No and low increases.
Why do we move high down when allocation is possible with mid?
If allocation is possible with mid, we try to find a smaller max by reducing high to mid - 1. See execution_table rows 2, 4, 6 where feasibility is Yes and high decreases.
Visual Quiz - 3 Questions
Test your understanding
Look at the execution_table at step 4, what is the value of low after this step?
A40
B55
C46
D53
💡 Hint
Check the 'low' column in execution_table row 4 after step 4.
At which step does the feasibility check first return 'No'?
AStep 4
BStep 2
CStep 3
DStep 5
💡 Hint
Look at the 'Feasibility' column in execution_table to find the first 'No'.
If the maximum pages in the array were 50 instead of 40, what would be the initial value of low?
A50
B40
C100
D70
💡 Hint
Low is set to the maximum pages in the array at start, see variable_tracker Start column.
Concept Snapshot
Allocate Minimum Pages using Binary Search:
- Set low = max pages in array
- Set high = sum of all pages
- While low <= high:
  - mid = Math.floor((low + high) / 2)
  - Check if allocation possible with max pages = mid
  - If yes, high = mid - 1
  - Else, low = mid + 1
- Return low as minimum max pages allocation
Full Transcript
This concept uses binary search on the answer space to find the minimum maximum pages allocated to students. We start low at the largest single book pages and high at the sum of all pages. Each iteration calculates mid and checks if allocation is possible without exceeding mid pages per student. If possible, we try smaller max by moving high down; if not, we increase low. The process repeats until low passes high, and low is the answer. The execution table shows step-by-step how low, high, mid, and feasibility change. The variable tracker records these values after each step. Key moments clarify why low starts at max pages, and how low and high adjust based on feasibility. The visual quiz tests understanding of these steps and values.

Practice

(1/5)
1. What is the main goal of the Allocate Minimum Pages problem when using binary search on the answer?
easy
A. To minimize the maximum number of pages assigned to a student
B. To maximize the total number of pages assigned
C. To find the student with the least pages
D. To sort the pages in ascending order

Solution

  1. Step 1: Understand the problem goal

    The problem aims to divide books among students so that the student with the most pages has as few pages as possible.
  2. Step 2: Identify the binary search target

    Binary search is used on the maximum pages assigned to any student to find the minimum possible maximum.
  3. Final Answer:

    To minimize the maximum number of pages assigned to a student -> Option A
  4. Quick Check:

    Goal = minimize max pages [OK]
Hint: Focus on minimizing the largest pages assigned [OK]
Common Mistakes:
  • Thinking the goal is to maximize pages
  • Confusing sorting with allocation
  • Assuming equal pages per student
2. Which of the following is the correct way to initialize the binary search boundaries for the Allocate Minimum Pages problem in JavaScript?
easy
A. let low = 0, high = sum of all pages;
B. let low = max pages in a single book, high = sum of all pages;
C. let low = 0, high = max pages in a single book;
D. let low = sum of all pages, high = max pages in a single book;

Solution

  1. Step 1: Determine low boundary

    Low should be at least the maximum pages in a single book because no student can get less than that.
  2. Step 2: Determine high boundary

    High is the sum of all pages, representing the case where one student reads all books.
  3. Final Answer:

    let low = max pages in a single book, high = sum of all pages; -> Option B
  4. Quick Check:

    low = max book pages, high = total pages [OK]
Hint: Low = max single book pages, High = total pages sum [OK]
Common Mistakes:
  • Setting low to 0 which is too low
  • Swapping low and high values
  • Using arbitrary boundaries
3. Given books with pages [10, 20, 30, 40] and 2 students, what is the minimum maximum pages assigned to a student using binary search on answer?
medium
A. 40
B. 50
C. 60
D. 70

Solution

  1. Step 1: Calculate boundaries

    Max single book pages = 40, sum = 100. So low=40, high=100.
  2. Step 2: Apply binary search and check feasibility

    Mid = 70: Can we allocate so max pages ≤ 70? Yes: [10,20,30] and [40]. Try lower mid.
  3. Step 3: Check mid = 55

    Allocate: [10,20,30] sum=60 > 55, so no. Increase low to 56.
  4. Step 4: Check mid = 60

    Allocate: [10,20,30] sum=60 ≤ 60, [40] next. Possible, try lower.
  5. Step 5: Check mid = 50

    Allocate: [10,20] sum=30 ≤ 50, next [30,40] sum=70 > 50 no. So 50 not possible.
  6. Final Answer:

    60 -> Option C
  7. Quick Check:

    Minimum max pages = 60 [OK]
Hint: Check mid feasibility by simulating allocation [OK]
Common Mistakes:
  • Choosing sum/2 without checking feasibility
  • Ignoring max single book pages
  • Misallocating books to students
4. Identify the bug in this JavaScript snippet for checking feasibility in Allocate Minimum Pages problem:
function isPossible(books, students, maxPages) {
  let count = 1, sum = 0;
  for (let i = 0; i < books.length; i++) {
    sum += books[i];
    if (sum > maxPages) {
      count++;
      sum = books[i];
    }
  }
  return count <= students;
}
medium
A. It does not check if a single book has pages more than maxPages
B. It does not reset sum correctly after exceeding maxPages
C. It increments count even when sum equals maxPages
D. It uses a for loop instead of while loop

Solution

  1. Step 1: Analyze sum accumulation

    The code adds book pages to sum and resets sum when sum > maxPages, increasing count.
  2. Step 2: Check for single book pages exceeding maxPages

    There is no check if any single book's pages exceed maxPages, which makes allocation impossible.
  3. Final Answer:

    It does not check if a single book has pages more than maxPages -> Option A
  4. Quick Check:

    Missing single book page check [OK]
Hint: Always check single book pages ≤ maxPages first [OK]
Common Mistakes:
  • Ignoring single book page size check
  • Resetting sum incorrectly
  • Confusing loop types
5. You have books with pages [12, 34, 67, 90] and 2 students. Using binary search on answer, what is the minimum maximum pages a student can get? Also, explain why allocating [12, 34, 67] to one student and [90] to another is optimal.
hard
A. Minimum max pages is 101; allocation is not optimal because 67+34=101 < 113
B. Minimum max pages is 90; allocation is optimal
C. Minimum max pages is 113; allocation is not optimal because 12+34+67=113 is too high
D. Minimum max pages is 113; allocation is optimal

Solution

  1. Step 1: Calculate boundaries and try allocations

    Max single book = 90, sum = 203. Low=90, High=203.
  2. Step 2: Check mid = 146

    Allocate: [12,34,67] sum=113 ≤146, [90] sum=90 ≤146. Possible, try lower.
  3. Step 3: Check mid = 113

    Allocate: [12,34,67] sum=113 ≤113, [90] sum=90 ≤113. Possible, try lower.
  4. Step 4: Check mid = 101

    Allocate: [12,34,67] sum=113 >101 no. Try [12,34] sum=46 ≤101, next [67,90] sum=157 >101 no. Not possible.
  5. Step 5: Conclusion

    Minimum max pages = 113. Allocation [12,34,67] and [90] achieves max(113,90)=113, which is the minimum possible maximum, so it is optimal.
  6. Final Answer:

    Minimum max pages is 113; allocation is optimal -> Option D
  7. Quick Check:

    Minimum max pages = 113, allocation optimal [OK]
Hint: Try mid values and simulate allocation carefully [OK]
Common Mistakes:
  • Assuming 90 is minimum max pages
  • Ignoring sum of allocated books
  • Not testing all allocation splits
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