The disadvantage of the subset-sum algorithm is that it solves only a decision—a yes-or-no problem—and doesn't allow restoring the partition itself. To overcome this disadvantage, you can use an array ...

This is an attempt to solve the subset sum problem using a genetic algorithm in Python. The input file begins with two numbers, N and T, representing the count of available player and the target score ...

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I will describe an algorithm for the subset sum problem that runs in 2^{0.86n} time and uses polynomial pace. Previously, all algorithms with running time less than 2^n used exponential space, and ...

To solve the subset sum problem, a well-known nondeterministic polynomial-time complete problem that is widely used in encryption and resource scheduling, we propose a feasible quantum algorithm that ...

Many applications in automated auditing and the analysis and consistency check of financial documents can be formulated in part as the subset sum problem: Given a set of numbers and a target sum, find ...

In 2013, Bernstein, Jeffery, Lange and Meurer constructed a quantum subset sum algorithm with heuristic time complexity 2^ {0.241n}, by enhancing the classical subset sum algorithm of Howgrave-Graham ...

The Subset-Sum Problem (SSP) ensures a significant role in various practical applications, which include cryptography and coding theory owing to the importance in the functionality of some of the ...