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courses:cs211:winter2018:journals:patelk:chapter3 [2018/02/05 05:38] – [3.5 Connectivity in Directed Graphs] patelkcourses:cs211:winter2018:journals:patelk:chapter3 [2018/02/05 05:40] (current) – [3.6 Directed Acyclic Graphs and Topological Ordering] patelk
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     * Thus, in every DAG G, there is a node with no incoming edges     * Thus, in every DAG G, there is a node with no incoming edges
     * If this is not true, then there is a cycle, so it is not a DAG     * If this is not true, then there is a cycle, so it is not a DAG
-    * +
 {{:courses:cs211:winter2018:journals:patelk:dag.png?nolink&400|}} {{:courses:cs211:winter2018:journals:patelk:dag.png?nolink&400|}}
  
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   * This leads to constant work per edge   * This leads to constant work per edge
  
 +==== Personal Thoughts ====
 +
 +This section contained information that I had not yet been exposed to. However, most of the section was very intuitive. Cycles are not a very difficult concept so it makes sense why a DAG cannot have a cycle. This is my first time, as far as I remember, being exposed to DAGs, so it will be interesting to see how difficult I find them as we do more complex things with them.
 +Readability: 9
 +Interesting: 8
courses/cs211/winter2018/journals/patelk/chapter3.1517809118.txt.gz · Last modified: by patelk
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