Minimum Path Sum in Grid
📖 Scenario: Imagine you are helping a delivery robot find the easiest path through a city grid. Each block has a cost representing how hard it is to cross. The robot can only move right or down. Your job is to find the path with the smallest total cost from the top-left corner to the bottom-right corner.
🎯 Goal: Build a program that calculates the minimum path sum in a grid of costs, moving only right or down.
📋 What You'll Learn
Create a 2D array called
grid with exact valuesCreate two integer variables
rows and cols for grid sizeUse nested
for loops to compute minimum path sumsPrint the minimum path sum value
💡 Why This Matters
🌍 Real World
Finding the easiest or cheapest path in a grid is useful in robotics, GPS navigation, and game development.
💼 Career
Understanding grid-based dynamic programming helps in software roles involving pathfinding, optimization, and algorithm design.
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