3 In the commonly used genome sequencing pipelines, dynamic programming (DP) algorithms are widely used, including read alignment and variant calling in reference-guided alignment, layout and ...

Abstract: This article develops a novel online adaptive dynamic programming algorithm with adjustable convergence rate to address the optimal control problem of nonlinear systems. Relaxation factors ...

It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) . We will ...

Previous theoretical work described a best case scenario, where there are settings of weights for a GNN that’ll make it nicely behave as that dynamic programming algorithm. But it doesn’t nece ...

ABSTRACT: An algorithm using the heuristic technique of Simulated Annealing to solve a scheduling problem is presented, focusing on the scheduling issues. The approximated method is examined together ...

This paper proposes an efficient parallel algorithm for an important class of dynamic programming problems that includes Viterbi, Needleman–Wunsch, Smith–Waterman, and Longest Common Subsequence. In ...

Abstract: We prove convergence of an approximate dynamic programming algorithm for a class of high-dimensional stochastic control problems linked by a scalar storage device, given a technical ...