Knapsack Problem
Dynamic Programming Item Selection
About This Method
The Knapsack Problem maximizes value while respecting capacity constraints. Using dynamic programming, it builds a table of optimal solutions for each item and capacity combination, then backtracks to find the selected items.
💡 Tip: Supports decimal weights and values. Choose between 0/1, Unbounded, or Bounded variants.