Dynamic stochastic matching problems arise in a variety of recent applications, ranging from ridesharing and online video games to kidney exchange. Such problems are naturally formulated as Markov ...

In addition to a plain-vanilla implementation of dynamic programming decomposition, we consider the variants proposed by Erdelyi and Topaloglu (2011) and Zhang (2011). For the base scenario generated ...

A dynamic programming approach is proposed to select optimally among a given set of products and allocate integer shelf-space units to the selected products in supermarkets. The approach is designed ...

Such approaches focus on minimising memory access overheads and reducing energy consumption without compromising the accuracy of dynamic programming predictions [3].

The first is an approximate approach based on an equivalent annual cost measure, and the second is a procedure for systematic improvement of the approximate solution. The method for improvement is ...

Julia is a free open source, high-level, high-performance, dynamic programming language for numerical computing. It has the development convenience of a dynamic language with the performance of a ...