What if you could find the fairest way to share work without trying every option?
Why Allocate Minimum Pages Binary Search on Answer in DSA C?
Imagine you have a stack of books with different numbers of pages. You want to divide these books among a few students so that the student who gets the most pages has as few pages as possible. If you try to do this by guessing and checking every possible way manually, it will take forever and be very confusing.
Manually trying all ways to split books is slow and tiring. You might miss better ways or make mistakes. It's like trying to find a needle in a haystack by looking at every straw one by one.
Using binary search on the answer lets you quickly guess a maximum pages limit and check if the books can be divided under that limit. By adjusting guesses smartly, you find the best minimum maximum pages without checking every possibility.
int minPages(int books[], int n, int students) {
int result = INT_MAX;
for (int maxPages = 0; maxPages <= sumOfPages(books, n); maxPages++) {
if (canAllocate(books, n, students, maxPages)) {
result = maxPages;
break;
}
}
return result;
}int minPages(int books[], int n, int students) {
int low = maxPage(books, n);
int high = sumOfPages(books, n);
int result = high;
while (low <= high) {
int mid = (low + high) / 2;
if (canAllocate(books, n, students, mid)) {
result = mid;
high = mid - 1;
} else {
low = mid + 1;
}
}
return result;
}This method lets you quickly find the fairest way to split work or resources, saving time and effort.
Dividing chapters of a textbook among students so that no one has too much reading, or assigning tasks to workers so the busiest worker has the least load possible.
Manual checking is slow and error-prone.
Binary search on answer guesses limits smartly to find the best solution fast.
Useful for fair division problems where you minimize the maximum load.
Practice
Allocate Minimum Pages problem when using binary search on the answer?Solution
Step 1: Understand the problem goal
The problem wants to divide book pages among students so that the student with the most pages has as few pages as possible.Step 2: Identify the binary search target
Binary search is used to find the minimum possible maximum pages assigned to any student.Final Answer:
To minimize the maximum number of pages assigned to any student -> Option CQuick Check:
Goal = minimize max pages per student [OK]
- Confusing total pages with maximum pages per student
- Thinking binary search finds average pages
- Assuming random assignment solves the problem
Allocate Minimum Pages problem in C?Solution
Step 1: Determine the search boundaries
The minimum possible max pages is at least the largest single book (max_page_count), and the maximum possible is the sum of all pages.Step 2: Set binary search range accordingly
So, low = max_page_count and high = sum_of_all_pages is correct initialization.Final Answer:
int low = max_page_count, high = sum_of_all_pages; -> Option AQuick Check:
low = max single book, high = total pages [OK]
- Starting low at 0 instead of max book pages
- Swapping low and high values
- Using arbitrary values outside page counts
[10, 20, 30, 40] and 2 students, what is the minimum maximum pages assigned to a student?Solution
Step 1: Check possible max pages assignments
Try to split books into 2 parts so max pages per student is minimized. Possible splits: [10,20,30] and [40] max 60; [10,20] and [30,40] max 70; [10,20,30,40] all to one student max 100.Step 2: Use binary search or reasoning
Splitting as [10,20] and [30,40] gives max 70, but [10,20,30] and [40] gives max 60. Check if 50 is possible: [10,20] and [30,40] max 70 too high, but [10,20,30] is 60. So 50 is not possible because 40 > 50. So minimum max pages is 60.Final Answer:
60 -> Option DQuick Check:
Minimum max pages = 60 [OK]
- Choosing max single book as answer without checking splits
- Assuming equal split always works
- Ignoring that a student must get continuous books
int isPossible(int arr[], int n, int m, int mid) {
int studentCount = 1, pageSum = 0;
for (int i = 0; i < n; i++) {
if (pageSum + arr[i] <= mid) {
pageSum += arr[i];
} else {
studentCount++;
pageSum = arr[i];
}
}
return studentCount <= m;
}Solution
Step 1: Analyze feasibility check logic
The function tries to assign books to students without exceeding mid pages per student.Step 2: Identify missing check
If a single book has pages more than mid, the function still tries to assign it, which is invalid. This case is not handled.Final Answer:
It does not check if a single book has more pages than mid -> Option AQuick Check:
Check single book pages <= mid [OK]
- Ignoring single book size check
- Returning wrong comparison for studentCount
- Incorrect initialization of pageSum
[12, 34, 67, 90] and 2 students. Using binary search on answer, what is the minimum maximum pages a student can get? Explain the steps.Solution
Step 1: Set binary search range
Minimum max pages = max single book = 90, maximum = sum = 12+34+67+90=203.Step 2: Apply binary search and feasibility check
Mid = (90+203)/2=146. Check if possible with max 146 pages: assign [12,34,67] sum=113 to student1, [90] to student2. Possible. Try lower mid.Step 3: Narrow down mid
Mid = (90+146)/2=118. Check with 118: assign [12,34,67] sum=113 student1, [90] student2. Possible. Try lower mid.Step 4: Check mid=104
Assign [12,34] sum=46 student1, [67,90] sum=157 student2 exceeds 104. Not possible.Step 5: Check mid=111
Assign [12,34,67] sum=113 >111 no. Assign [12,34] sum=46 student1, [67,90] sum=157 no. Not possible.Step 6: Check mid=113
Assign [12,34,67] sum=113 student1, [90] student2. Possible.Step 7: Final minimum max pages
Minimum max pages = 113.Final Answer:
113 -> Option BQuick Check:
Minimum max pages = 113 [OK]
- Choosing max single book as answer without checking splits
- Not testing feasibility properly
- Confusing sum and max in binary search range
Ready to prove it?
Pass the test and this pattern moves unknown
