The document discusses backtracking and branch and bound algorithms for solving subset and permutation problems. It explains that backtracking performs a depth-first search of the solution space tree, while branch and bound uses breadth-first, depth-first, or priority queue searches. Effective bounding functions allow backtracking to solve large instances, while branch and bound directs search towards parts of the space most likely to contain the answer.