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 optimization and optimal control problems form the backbone of numerous applications in engineering, economics and the natural sciences. These methodologies involve determining a time-varying ...

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) ...

A language that requires less rigid coding on the part of the programmer. It typically features "dynamic typing," which gives the programmer more freedom to pass parameters at runtime without having ...

https://doi.org/10.2307/1243989 • https://www.jstor.org/stable/1243989 Copy URL A dynamic programming model that allocates irrigations among competing crops, while ...