This is a preview. Log in through your library . Abstract A general sequential model is defined where returns are in a partially ordered set. A distinction is made between maximal (nondominated) ...

This course 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) ...

Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...

An operations research technique that solves problems in which an optimal value is sought subject to specified constraints. Mathematical programming models include linear programming, quadratic ...

Dynamic Programming and Optimal Control is offered within DMAVT and attracts in excess of 300 students per year from a wide variety of disciplines. It is an integral part of the Robotics, System and ...

This is a preview. Log in through your library . Abstract We study a deterministic maritime inventory routing problem with a long planning horizon. For instances with many ports and many vessels, ...