To apply dynamic programming, you need to follow four steps: define the subproblems, find the recurrence relation, initialize the base cases, and fill in the table or the array.

To apply dynamic programming to a problem, you need to follow four steps: define the subproblems, write a recurrence relation, initialize the base cases, and fill in the table.

Sequences can be finite or infinite. Two examples are the finite sequence (π,−2–√,0,π) and the infinite sequence of odd numbers (1,3,5,7,9,…). We use the notation an to represent the n-th term of a ...

The most difficult part of dynamic programming is acquiring an understanding of a problem's subproblems and recurrence relations. It's amazing how difficult it can be to formulate DP solutions de novo ...

Dynamic programming algorithms proceed by recursively solving a series of sub-problems, usually represented as cells in a table as shown in the figure. The solution to a subproblem is constructed from ...