LeetCode 322: Coin Change — Step-by-Step Visual Trace
📰 Dev.to · tracelit
Learn to solve the LeetCode 322 Coin Change problem using dynamic programming with a step-by-step visual trace
Action Steps
- Read the problem statement and understand the requirements
- Initialize a DP array to store the minimum number of coins needed for each amount
- Fill the DP array using a bottom-up approach with dynamic programming
- Use the DP array to find the minimum number of coins needed for the target amount
- Handle edge cases where it's impossible to make up the target amount
Who Needs to Know This
Software engineers and developers can benefit from this lesson to improve their problem-solving skills and learn dynamic programming techniques
Key Insight
💡 Dynamic programming can be used to solve the Coin Change problem by building a DP array to store the minimum number of coins needed for each amount
Share This
Solve LeetCode 322 Coin Change problem using dynamic programming! #leetcode #algorithms #python
Full Article
Title: LeetCode 322: Coin Change — Step-by-Step Visual Trace
URL Source: https://dev.to/tracelit/leetcode-322-coin-change-step-by-step-visual-trace-2bn1
Published Time: 2026-04-09T07:02:49Z
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Posted on Apr 9 • Originally published at [tracelit.dev](https://tracelit.dev/blog/coin-change-visualization/)
# LeetCode 322: Coin Change — Step-by-Step Visual Trace
[#leetcode](https://dev.to/t/leetcode)[#algorithms](https://dev.to/t/algorithms)[#python](https://dev.to/t/python)[#dynamicprogramming](https://dev.to/t/dynamicprogramming)
**Medium** — Dynamic Programming | Array | Greedy
## [](https://dev.to/tracelit/leetcode-322-coin-change-step-by-step-visual-trace-2bn1#the-problem) The Problem
Given an array of coin denominations and a target amount, find the minimum number of coins needed to make up that amount, or return -1 if it's impossible.
## [](https://dev.to/tracelit/leetcode-322-coin-change-step-by-step-visual-trace-2bn1#approach) Approach
Uses dynamic programming with a bottom-up approach. We build a DP array where dp[i] represents the mini
URL Source: https://dev.to/tracelit/leetcode-322-coin-change-step-by-step-visual-trace-2bn1
Published Time: 2026-04-09T07:02:49Z
Markdown Content:
[Skip to content](https://dev.to/tracelit/leetcode-322-coin-change-step-by-step-visual-trace-2bn1#main-content)
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Posted on Apr 9 • Originally published at [tracelit.dev](https://tracelit.dev/blog/coin-change-visualization/)
# LeetCode 322: Coin Change — Step-by-Step Visual Trace
[#leetcode](https://dev.to/t/leetcode)[#algorithms](https://dev.to/t/algorithms)[#python](https://dev.to/t/python)[#dynamicprogramming](https://dev.to/t/dynamicprogramming)
**Medium** — Dynamic Programming | Array | Greedy
## [](https://dev.to/tracelit/leetcode-322-coin-change-step-by-step-visual-trace-2bn1#the-problem) The Problem
Given an array of coin denominations and a target amount, find the minimum number of coins needed to make up that amount, or return -1 if it's impossible.
## [](https://dev.to/tracelit/leetcode-322-coin-change-step-by-step-visual-trace-2bn1#approach) Approach
Uses dynamic programming with a bottom-up approach. We build a DP array where dp[i] represents the mini
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