Recursive resolution is a problem-solving technique that involves breaking down a problem into smaller, more manageable sub-problems, solving each recursively, and then combining their solutions to address the original problem. This approach is particularly effective in computational contexts where problems exhibit overlapping subproblems or optimal substructure properties, such as in dynamic programming or divide and conquer algorithms.