How to Solve Minimum Cost to Reach Destination in Time Leetcode Problem - Interview Coder Guide
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How to Solve Minimum Cost to Reach Destination in Time Problem

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Hard#2040
LeetCode Problem

Minimum Cost to Reach Destination in Time

There is a country of n cities numbered from 0 to n - 1 where all the cities are connected by bi-directional roads. The roads are represented as a 2D integer array edges where edges[i] = [xi, yi, time...

ArrayDynamic ProgrammingGraph

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Problem Breakdown

Understanding the Minimum Cost to Reach Destination in Time Problem

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

Problem Statement

There is a country of n cities numbered from 0 to n - 1 where all the cities are connected by bi-directional roads. The roads are represented as a 2D integer array edges where edges[i] = [xi, yi, timei] denotes a road between cities xi and yi that takes timei minutes to travel. There may be multiple roads of differing travel times connecting the same two cities, but no road connects a city to itself. Each time you pass through a city, you must pay a passing fee. This is represented as a 0-indexed integer array passingFees of length n where passingFees[j] is the amount of dollars you must pay when you pass through city j. In the beginning, you are at city 0 and want to reach city n - 1 in maxTime minutes or less. The cost of your journey is the summation of passing fees for each city that you passed through at some moment of your journey (including the source and destination cities). Given maxTime, edges, and passingFees, return the minimum cost to complete your journey, or -1 if you cannot complete it within maxTime minutes.

HardProblem #2040
LeetCode

Minimum Cost to Reach Destination in Time

Related Topics
ArrayDynamic ProgrammingGraph
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Examples

Example 1
INPUT
maxTime = 30, edges = [[0,1,10],[1,2,10],[2,5,10],[0,3,1],[3,4,10],[4,5,15]], passingFees = [5,1,2,20,20,3]
OUTPUT
11
EXPLANATION

The path to take is 0 -> 1 -> 2 -> 5, which takes 30 minutes and has $11 worth of passing fees.

Example 2
INPUT
maxTime = 29, edges = [[0,1,10],[1,2,10],[2,5,10],[0,3,1],[3,4,10],[4,5,15]], passingFees = [5,1,2,20,20,3]
OUTPUT
48
EXPLANATION

The path to take is 0 -> 3 -> 4 -> 5, which takes 26 minutes and has $48 worth of passing fees. You cannot take path 0 -> 1 -> 2 -> 5 since it would take too long.

Example 3
INPUT
maxTime = 25, edges = [[0,1,10],[1,2,10],[2,5,10],[0,3,1],[3,4,10],[4,5,15]], passingFees = [5,1,2,20,20,3]
OUTPUT
-1
EXPLANATION

There is no way to reach city 5 from city 0 within 25 minutes.

Constraints

1 <= maxTime <= 1000
n == passingFees.length
2 <= n <= 1000
n - 1 <= edges.length <= 1000
0 <= xi, yi <= n - 1
1 <= timei <= 1000
1 <= passingFees[j] <= 1000
The graph may c

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