English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The shortest path (SP) and shortest paths tree (SPT) problems arise both asdirect applications and as subroutines of overlay algorithms solving morecomplex problems such as the constrained shortest path (CSP) or the constrainedminimum Steiner tree (CMST) problems. Often, such algorithms do not use theresult of an SP subroutine if its total cost is greater than a given bound. Forexample, for delay-constrained problems, paths resulting from a least-delay SPrun and whose delay is greater than the delay constraint of the originalproblem are not used by the overlay algorithm to construct its solution. As aresult of the existence of these bounds, and because the Dijkstra SP algorithmdiscovers paths in increasing order of cost, we can terminate the SP searchearlier, i.e., once it is known that paths with a greater total cost will notbe considered by the overlay algorithm. This early termination allows to reducethe runtime of the SP subroutine, thereby reducing the runtime of the overlayalgorithm without impacting its final result. We refer to this adaptation ofDijkstra for centralized implementations as bounded Dijkstra (BD). On theexample of CSP algorithms, we confirm the usefulness of BD by showing that itcan reduce the runtime of some algorithms by 75% on average.

Bounded Dijkstra (BD): Search Space Reduction for Expediting Shortest Path Subroutines