Matrix Construction for DP

Encode transitions as rows sum to choices from previous states.

Try this in Python

T = [[1, 1, 0], [0, 0, 1], [1, 0, 1]]
print([sum(row) for row in T])

Key takeaways

• Draw DAG of states first.
• Self-loops add diagonal entries.
• Absorbing states isolate rows.