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Describe your change:

  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • Documentation change?

Checklist:

  • I have read CONTRIBUTING.md.
  • This pull request is all my own work -- I have not plagiarized.
  • I know that pull requests will not be merged if they fail the automated tests.
  • This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
  • All new JavaScript files are placed inside an existing directory.
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    Example:UserProfile.js is allowed but userprofile.js,Userprofile.js,user-Profile.js,userProfile.js are not
  • All new algorithms have a URL in their comments that points to Wikipedia or another similar explanation.
  • If this pull request resolves one or more open issues then the commit message contains Fixes: #{$ISSUE_NO}.

Signed-off-by: AmbrishRamachandiran <ambrish.r@infosys.com>
/*
Bidirectional search is a graph search algorithm that finds a shortest path from an initial vertex to a goal vertex in a directed graph.
It runs two simultaneous searches: one forward from the initial state, and one backward from the goal, stopping when the two meet.
The reason for this approach is that in many cases it is faster: for instance, in a simplified model of search problem complexity in which both searches expand a tree with branching factor b, and the distance from start to goal is d, each of the two searches has complexity O(bd/2) (in Big O notation),
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The big-O here doesn't make sense. You probably mean O(b^(d/2)) and O(b^d).

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@appgurueu fixed it please check

Signed-off-by: AmbrishRamachandiran <ambrish.r@infosys.com>
Signed-off-by: AmbrishRamachandiran <ambrish.r@infosys.com>
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  1. Don't create yet another adjacency list representation. Either use / adapt an existing one, or just expect your input to be in the proper format (e.g. array of arrays).
  2. In accordance with 1, bidirectionalSearch should just be a function or a method on an adjacency-list based Graph class (which we already have, look into the existing graph data structures).
  3. You're using shift to pop the first element from the queues, which has linear time complexity. Please use our linked queues or similar to achieve constant time complexity.

Otherwise the code looks fine!

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2 participants