The maximum segment sum problem is to compute, given a list of integers, the largest of the sums of the contiguous segments of that list. This problem specification maps directly onto a cubic-time algorithm; however, there is a very elegant linear-time solution too. The problem is a classic exercise in the mathematics of program construction, illustrating important principles such as calculational development, pointfree reasoning, algebraic structure, and datatype-genericity. Here, we take a sideways look at the datatype-generic version of the problem in terms of monadic functional programming, instead of the traditional relational approach; the presentation is tutorial in style, and leavened with exercises for the reader.
CITATION STYLE
Gibbons, J. (2011). Maximum segment sum, monadically (Distilled Tutorial). In Electronic Proceedings in Theoretical Computer Science, EPTCS (Vol. 66, pp. 181–194). Open Publishing Association. https://doi.org/10.4204/EPTCS.66.9
Mendeley helps you to discover research relevant for your work.