A Dynamic Programming Based Solution to the Two-Dimensional Jump-It Problem

Abstract

This paper introduces the two-dimensional Jump-It problem, which is a board playing optimization problem. We present a dynamic programming based solution that finds the optimal cost of playing the game in O(mn), where m and n are the dimensions of the playing board. We also show how the solution can be extended to find a path that leads to playing the game with the optimal cost.