Upper bound on the number of steps for solving the subset sum problem by the Branch-and-Bound method

Abstract: We study the computational complexity of one of the particular cases of the knapsack problem: the subset sum problem. For solving this problem we consider one of the basic variants of the Branch-and-Bound method in which any sub-problem is decomposed along the free variable with the maximal weight. By the complexity of solving a problem by the Branch-and-Bound method we mean the number of steps required for solving the problem by this method. In the paper we obtain upper bounds on the complexity of solving the subset sum problem by the Branch-and-Bound method. These bounds can be easily computed from the input data of the problem. So these bounds can be used for the the preliminary estimation of the computational resources required for solving the subset sum problem by the Branch-and-Bound method.