Dynamic Programming
Identifying Optimization Problems
Identifying Counting Problems
Recognizing Decision Problems
Checking for DP Applicability
One-Dimensional States
Multi-Dimensional States
Complex State Representations
State Transition Analysis
Decision Point Identification
Constraint Integration
Boundary Condition Handling
Minimal Subproblem Recognition
Base Case Value Assignment
Edge Case Consideration
Approach Selection Criteria
Code Structure Design
Testing and Validation
Performance Optimization
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3. Core Implementation Approaches
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5. Linear Dynamic Programming