Dynamic ProgrammingIntermediate

Coin Change Problem

Classic dynamic programming problem that finds the minimum number of coins needed to make a target amount. Demonstrates optimal substructure where the solution depends on solutions to smaller amounts. Widely applied in financial systems, vending machines, and resource allocation optimization.

#dynamic-programming#optimization#unbounded-knapsack

Complexity Analysis

Time (Average)

O(amount × coins)

Expected case performance

Space

O(amount)

Memory requirements

Time (Best)

O(amount × coins)

Best case performance

Time (Worst)

O(amount × coins)

Worst case performance

Step: 1 / 0
500ms
SlowFast
Keyboard Shortcuts
Space Play/Pause StepR Reset1-4 Speed

Real-time Statistics

Algorithm Performance Metrics

Progress0%
Comparisons
0
Swaps
0
Array Accesses
0
Steps
1/ 0

Algorithm Visualization

Step 1 of 0

Initialize array to begin

Default
Comparing
Swapped
Sorted

Code Execution

Currently executing
Previously executed

Implementation

Coin Change Problem - Algorithm Vision