Most efficient way to generate all descendents of all nodes in a tree
I’m looking for the most efficient algorithm to take a tree (stored as either a list of edges; OR as a list of mappings from parent node to a list of child nodes); and produce, for EVERY node, a list of all nodes descended from it (leaf level and non-leaf level).
Why are heuristics a disadvantage for decidable problems?
I’m reading Introduction to Artificial Intelligence by Ertel.
Injectable, Poppable Stack
Background A project involves converting a relational expression map (rxm) to an XML/SQL statement. The map resembles: root > people, # “root” keyword starts the document person > person, # maps table context to a node .first_name > first, # maps a column to a node .last_name > name/last, # maps a column to an […]
Injectable, Poppable Stack
Background A project involves converting a relational expression map (rxm) to an XML/SQL statement. The map resembles: root > people, # “root” keyword starts the document person > person, # maps table context to a node .first_name > first, # maps a column to a node .last_name > name/last, # maps a column to an […]
Injectable, Poppable Stack
Background A project involves converting a relational expression map (rxm) to an XML/SQL statement. The map resembles: root > people, # “root” keyword starts the document person > person, # maps table context to a node .first_name > first, # maps a column to a node .last_name > name/last, # maps a column to an […]
Injectable, Poppable Stack
Background A project involves converting a relational expression map (rxm) to an XML/SQL statement. The map resembles: root > people, # “root” keyword starts the document person > person, # maps table context to a node .first_name > first, # maps a column to a node .last_name > name/last, # maps a column to an […]
Injectable, Poppable Stack
Background A project involves converting a relational expression map (rxm) to an XML/SQL statement. The map resembles: root > people, # “root” keyword starts the document person > person, # maps table context to a node .first_name > first, # maps a column to a node .last_name > name/last, # maps a column to an […]
How to determine whether two trees (not necessarily binary) are isomorphic
Two ordered trees T’ and T” are said to be isomorphic if one of the following holds:
How to determine whether two trees (not necessarily binary) are isomorphic
Two ordered trees T’ and T” are said to be isomorphic if one of the following holds:
How to determine whether two trees (not necessarily binary) are isomorphic
Two ordered trees T’ and T” are said to be isomorphic if one of the following holds: