Dynamic programming is not suitable for problems that do not have overlapping subproblems or optimal substructure. For example, if the subproblems are independent and do not share any common parts ...

Dynamic programming is a technique that can be used to solve a variety of problems. Some common examples are the knapsack problem, where you must maximize the value of items that fit in a limited ...

In this paper, a novel hierarchical sliding-mode surface (HSMS)-based adaptive event-triggered optimal control (ETOC) method is proposed for switched nonlinear systems using single-critic adaptive ...

In this paper we present an image stitching method based on dynamic programming and describe its application to automated slide acquisition for Virtual Microscopy (VM). Given a large number of fields ...

Dynamic programming algorithms are a good place to start understanding what's really going on inside computational biology software. The heart of many well-known programs is a dynamic programming ...

Dynamic programming provides a road map at each point in time for optimal spending and asset allocation, which have been determined by first considering optimal future behavior stemming from today ...

A "slag slide" is one of features being planned for a $1.25 million science park under construction now on the grounds of Dynamic Earth, in the shadow of the Big Nickel.

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 ...