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 Java?
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 each way manually, it will take forever and be very confusing.
Trying every possible way to split the books manually is slow and tiring. You might miss better ways or make mistakes. It's like trying to find the smallest number in a huge list by looking at each number one by one without any plan.
Using binary search on the answer means you guess a number of pages and check if you can split the books so no student gets more than that. If you can, you try a smaller number; if not, you try a bigger number. This way, you quickly find the smallest possible maximum pages without checking every option.
int minPages = Integer.MAX_VALUE; for (int guess = maxPage; guess <= totalPages; guess++) { if (canAllocate(books, students, guess)) { minPages = guess; break; } }
int low = maxPage, high = totalPages, result = totalPages; while (low <= high) { int mid = low + (high - low) / 2; if (canAllocate(books, students, mid)) { result = mid; high = mid - 1; } else { low = mid + 1; } }
This method lets you quickly find the best way to share work or resources fairly without wasting time trying every possibility.
Imagine dividing chapters of a textbook among group members so that no one has too much to read. Using this method, you can find the fairest way to split the chapters fast.
Manual checking is slow and error-prone.
Binary search on answer guesses and checks efficiently.
It helps find the smallest maximum workload quickly.
Practice
Allocate Minimum Pages problem using binary search on answer?Solution
Step 1: Understand the problem objective
The problem asks to allocate books to students so that the maximum pages assigned to any student is as small as possible.Step 2: Identify the goal of binary search on answer
Binary search is used to find the minimum possible maximum pages that can be assigned to a student.Final Answer:
To minimize the maximum number of pages assigned to a student -> Option AQuick Check:
Goal = minimize max pages [OK]
- Thinking the goal is to maximize pages
- Confusing average pages with maximum pages
- Assuming random allocation is acceptable
Allocate Minimum Pages problem in Java?Solution
Step 1: Determine the minimum possible max pages
The minimum max pages must be at least the largest single book's pages, because no book can be split.Step 2: Determine the maximum possible max pages
The maximum max pages is the sum of all pages if one student gets all books.Final Answer:
int low = max pages in a single book; int high = sum of all pages; -> Option CQuick Check:
low = max book pages, high = total pages [OK]
- Setting low to 0 which is invalid
- Swapping low and high values
- Using average pages as boundaries
Solution
Step 1: Check possible max pages allocations
Try to split books so that max pages per student is minimized. Possible splits: [10,20,30] and [40] max=60; or [10,20] and [30,40] max=70.Step 2: Choose minimum max pages
Between 60 and 70, 60 is smaller and valid allocation.Final Answer:
60 -> Option DQuick Check:
Minimum max pages = 60 [OK]
- Choosing sum of all pages as answer
- Ignoring largest single book pages
- Incorrectly splitting books
boolean isPossible(int[] pages, int students, int mid) {
int count = 1, sum = 0;
for (int page : pages) {
sum += page;
if (sum > mid) {
count++;
sum = 0;
}
}
return count <= students;
}Solution
Step 1: Analyze sum reset logic
When sum exceeds mid, count increments but sum resets to zero, losing the current page's value.Step 2: Correct sum reset to current page
Sum should reset to current page's value to include it in the new student's allocation.Final Answer:
sum should be reset to current page, not zero, after count increment -> Option AQuick Check:
Reset sum = current page [OK]
- Resetting sum to zero loses current page
- Returning wrong comparison for count and students
- Incorrect loop indexing
Solution
Step 1: Set binary search boundaries
Low = max single book pages = 90, High = sum = 12+34+67+90=203.Step 2: Check mid and feasibility
Mid = (90+203)/2=146. Check if allocation possible with max 146 pages per student: [12,34,67] sum=113 <=146, next student gets [90]. Possible with 2 students.Step 3: Narrow search
Try lower mid: (90+146)/2=118. Check allocation: [12,34,67] sum=113 <=118, next student [90]. Possible.Step 4: Try even lower mid
Mid = (90+118)/2=104. Allocation: [12,34,67] sum=113 >104, so split: [12,34] sum=46 <=104, next student [67,90] sum=157 >104 not possible.Step 5: Increase low to 105 and continue
Mid = (105+118)/2=111. Allocation: [12,34,67] sum=113 >111 no, split: [12,34] sum=46 <=111, next student [67,90] sum=157 >111 no.Step 6: Mid = (112+118)/2=115
Allocation: [12,34,67] sum=113 <=115 yes, next student [90]. Possible.Step 7: Narrow down to minimum feasible
Try mid= (112+114)/2=113 allocation possible, mid=112 allocation not possible.Final Answer:
113 -> Option BQuick Check:
Minimum max pages = 113 [OK]
- Choosing max single book pages as answer
- Not checking feasibility correctly
- Stopping binary search too early
Ready to prove it?
Pass the test and this pattern moves unknown
