Identifying multidimensional recursion


Multiple recursion is the most generic form of recursion that explores an n-dimensional problem space and can solve a wide variety of problems. Most problems that are solved by multidimensional recursion are medium or hard problems that have multiple independent variables defining a problem state. The recursive equation reduces the problem space, ultimately leading to a base case with a known solution. Most multidimensional recursive problems build the solution during the stack unwinding phases in a bottom-to-top order.

Most recursive problems where the solution depends on exploring and combining results across multiple dimensions or states can be solved using multidimensional recursion.

It is important to note that most problems that can be solved using dultidimensional recursion can be optimized with dynamic programming.

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