How to Solve Course Schedule I V Leetcode Problem - Interview Coder Guide
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How to Solve Course Schedule I V Problem

Master the Course Schedule I V LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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Medium#1558
LeetCode Problem

Course Schedule IV

There are a total of numCourses courses you have to take, labeled from 0 to numCourses - 1. You are given an array prerequisites where prerequisites[i] = [ai, bi] indicates that you must take course a...

Depth-First SearchBreadth-First SearchGraph+1 more

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Problem Breakdown

Understanding the Course Schedule I V Problem

Let's break down this LeetCode problem and understand what makes it challenging in interview settings.

Problem Statement

There are a total of numCourses courses you have to take, labeled from 0 to numCourses - 1. You are given an array prerequisites where prerequisites[i] = [ai, bi] indicates that you must take course ai first if you want to take course bi. For example, the pair [0, 1] indicates that you have to take course 0 before you can take course 1. Prerequisites can also be indirect. If course a is a prerequisite of course b, and course b is a prerequisite of course c, then course a is a prerequisite of course c. You are also given an array queries where queries[j] = [uj, vj]. For the jth query, you should answer whether course uj is a prerequisite of course vj or not. Return a boolean array answer, where answer[j] is the answer to the jth query.

MediumProblem #1558
LeetCode

Course Schedule IV

Related Topics
Depth-First SearchBreadth-First SearchGraphTopological Sort
How Interview Coder Helps

Get real-time assistance for Course Schedule IV problems during coding interviews. Interview Coder provides instant solutions and explanations.

Examples

Example 1
INPUT
numCourses = 2, prerequisites = [[1,0]], queries = [[0,1],[1,0]]
OUTPUT
[false,true]
EXPLANATION

The pair [1, 0] indicates that you have to take course 1 before you can take course 0. Course 0 is not a prerequisite of course 1, but the opposite is true.

Example 2
INPUT
numCourses = 2, prerequisites = [], queries = [[1,0],[0,1]]
OUTPUT
[false,false]
EXPLANATION

There are no prerequisites, and each course is independent.

Example 3
INPUT
numCourses = 3, prerequisites = [[1,2],[1,0],[2,0]], queries = [[1,0],[1,2]]
OUTPUT
[true,true]

Constraints

2 <= numCourses <= 100
0 <= prerequisites.length <= (numCourses * (numCourses - 1) / 2)
prerequisites[i].length == 2
0 <= ai, bi <= numCourses - 1
ai != bi
All the pairs [ai, bi] are unique.
The prerequisites graph has no cycles.
1 <= queries.length <= 104
0 <= ui, vi <= numCourses - 1
ui != vi

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