What is the main goal of the Allocate Minimum Pages problem?
To divide an array of book pages among students such that the maximum pages assigned to a student is minimized.
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intermediate
Why do we use binary search on the answer in the Allocate Minimum Pages problem?
Because the answer (minimum maximum pages) lies between the maximum single book pages and the sum of all pages, allowing efficient searching in this range.
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intermediate
What does the 'isPossible' function check in the Allocate Minimum Pages problem?
It checks if it is possible to allocate books to students such that no student gets more than a given maximum number of pages.
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beginner
In the context of Allocate Minimum Pages, what is the significance of the lower bound in binary search?
The lower bound is the maximum number of pages in a single book, since no student can get less than that.
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advanced
What is the time complexity of the Allocate Minimum Pages solution using binary search on answer?
O(N * log(S)), where N is the number of books and S is the sum of all pages.
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What is the initial lower bound for binary search in Allocate Minimum Pages?
ASum of all pages
BMaximum pages in a single book
CZero
DNumber of students
✗ Incorrect
The minimum possible maximum pages is at least the largest single book's pages.
What does the 'isPossible' function return if the current max pages limit is too small?
AFalse
BTrue
CThrows error
DReturns number of students
✗ Incorrect
If the max pages limit is too small, allocation is not possible, so it returns false.
Which technique is used to find the minimum maximum pages efficiently?
ALinear search
BDepth-first search
CBreadth-first search
DBinary search on answer
✗ Incorrect
Binary search on the answer range is used to efficiently find the minimum maximum pages.
If the number of students is more than the number of books, what is the result?
AAllocation is impossible
BEach student gets at least one book
CSome students get no books
DMaximum pages is zero
✗ Incorrect
Some students will get no books if students exceed books.
What is the upper bound for binary search in this problem?
ASum of all pages
BZero
CNumber of students
DMaximum pages in a single book
✗ Incorrect
The maximum possible maximum pages is the sum of all pages if one student reads all books.
Explain how binary search on the answer works in the Allocate Minimum Pages problem.
Think about narrowing down the possible maximum pages by checking if allocation is possible.
You got /4 concepts.
Describe the role of the 'isPossible' function in the Allocate Minimum Pages problem.
It tests if a given max pages limit can work for allocation.
You got /4 concepts.
Practice
(1/5)
1. What is the main goal of the Allocate Minimum Pages problem using binary search on answer?
easy
A. To assign pages randomly among students
B. To maximize the total number of pages assigned
C. To find the average number of pages per student
D. To minimize the maximum number of pages assigned to a student
Solution
Step 1: Understand the problem objective
The problem asks to allocate books to students such that the maximum pages assigned to any student is minimized.
Step 2: Identify the binary search approach
We use binary search on the range of possible maximum pages to find the minimum feasible maximum.
Final Answer:
To minimize the maximum number of pages assigned to a student -> Option D
Quick Check:
Goal = minimize max pages [OK]
Hint: Minimize max pages per student using binary search [OK]
Common Mistakes:
Trying to maximize pages instead of minimizing
Ignoring the maximum pages constraint
Confusing total pages with max pages per student
2. Which of the following is the correct TypeScript syntax to declare the binary search boundaries for the Allocate Minimum Pages problem given an array pages?
easy
A. let low = pages.length; let high = Math.max(...pages);
B. let low = Math.min(...pages); let high = pages.length;
C. let low = 0; let high = pages.reduce((a, b) => a + b, 0);
D. let low = 0; let high = Math.min(...pages);
Solution
Step 1: Determine low and high boundaries
Low is minimum possible max pages (0 or max single book pages), high is sum of all pages (max total pages).
Step 2: Check correct syntax for sum
Using reduce sums all pages correctly for high boundary.
Final Answer:
let low = 0; let high = pages.reduce((a, b) => a + b, 0); -> Option C
Quick Check:
low = 0, high = sum pages [OK]
Hint: Sum array for high, zero or max page for low [OK]
Common Mistakes:
Setting low as pages.length instead of page count
Using min pages as high boundary
Incorrect sum calculation syntax
3. Consider the following TypeScript code snippet for checking feasibility in Allocate Minimum Pages problem:
function isPossible(pages: number[], students: number, maxPages: number): boolean {
let requiredStudents = 1;
let currentSum = 0;
for (let page of pages) {
if (page > maxPages) return false;
if (currentSum + page > maxPages) {
requiredStudents++;
currentSum = page;
} else {
currentSum += page;
}
}
return requiredStudents <= students;
}
What is the output of isPossible([10, 20, 30, 40], 2, 50)?
medium
A. false
B. SyntaxError
C. true
D. RuntimeError
Solution
Step 1: Trace allocation with maxPages = 50
Assign pages: 10+20=30 (still <=50), add 30 would exceed 50, so new student starts with 30, then 40 exceeds 50 if added, so new student starts with 40.
Step 2: Count required students
We used 3 students but only 2 allowed, so requiredStudents=3 > 2 means return false. But check carefully: 10+20=30, next 30 alone fits in second student, 40 alone needs third student.
Final Answer:
false -> Option A
Quick Check:
Required students = 3 > 2, so false [OK]
Hint: Count students needed, compare with allowed [OK]
Common Mistakes:
Ignoring that a single book can exceed maxPages
Miscounting students when sum exceeds maxPages
Assuming sum of all pages fits in one student
4. The following TypeScript function attempts to find the minimum maximum pages but has a bug. Identify the bug.
function findMinPages(pages: number[], students: number): number {
let low = Math.min(...pages);
let high = pages.reduce((a, b) => a + b, 0);
let result = high;
while (low <= high) {
let mid = Math.floor((low + high) / 2);
if (isPossible(pages, students, mid)) {
result = mid;
high = mid - 1;
} else {
low = mid + 1;
}
}
return result;
}
medium
A. High should be min page, not sum of pages
B. Low should start from max page, not min page
C. Mid calculation causes infinite loop
D. Result variable is not updated
Solution
Step 1: Analyze low boundary initialization
Low should be the maximum single book pages, because no student can get less than the largest book.
Step 2: Identify impact of wrong low
Starting low at minimum page can cause incorrect feasibility checks and longer search.
Final Answer:
Low should start from max page, not min page -> Option B
Quick Check:
Low = max page [OK]
Hint: Low boundary = max single book pages [OK]
Common Mistakes:
Setting low to min page instead of max page
Confusing high boundary with low
Not updating result inside loop
5. Given books with pages [12, 34, 67, 90] and 3 students, what is the minimum maximum pages allocated to any student using binary search on answer?
hard
A. 90
B. 113
C. 67
D. 34
Solution
Step 1: Set search boundaries
Low = max pages = 90, High = sum pages = 12+34+67+90=203.
Step 2: Binary search feasibility checks
Mid = (90+203)//2=146. Check if possible with maxPages=146: allocate [12+34+67=113] to student1, 90 to student2, only 2 students needed <=3, possible. So high=145.
Step 3: Narrow down to minimum max pages
Continuing: mid=103 possible [12+34=46,67,90] 3 students. mid=96 possible. mid=92 possible. mid=90: [12+34=46], [67], [90] all <=90, 3 students <=3 feasible, high=89. Loop ends with result=90.
Step 4: Re-evaluate minimum max pages
Check if 113 is feasible with 3 students: [12+34+67=113], [90] 2 students needed <=3, so 113 is feasible but not minimum.
Step 5: Check if 90 is feasible
Allocations: [12+34=46], [67], [90] 3 students needed <=3, feasible.
Final Answer:
90 -> Option A
Quick Check:
Minimum max pages = 90 [OK]
Hint: Binary search between max page and sum pages [OK]
Common Mistakes:
Misallocating at max=90 thinking 4 students needed
Miscounting students during allocation
Confusing with 2 students (113)
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