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	<updated>2026-05-12T13:43:40Z</updated>
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		<id>https://wiki.kram.nz/index.php?title=Apra102&amp;diff=549&amp;oldid=prev</id>
		<title>Mark: 20 revision(s)</title>
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		<updated>2008-11-03T05:07:54Z</updated>

		<summary type="html">&lt;p&gt;20 revision(s)&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;==Minutes==&lt;br /&gt;
Minutes taken by [[User:Apra102|Apra102]].&lt;br /&gt;
&lt;br /&gt;
==Review on yesterday&amp;#039;s lab==&lt;br /&gt;
In today&amp;#039;s lecture we went through yesterday&amp;#039;s lab-10.&lt;br /&gt;
&lt;br /&gt;
Task 1 is just a mathe mathematical calculation.&lt;br /&gt;
&lt;br /&gt;
Task 2 is read code and describe most of them dint get it and skipped to task 3 which is a bit more interesting. Only one line of code changes from bredth first to depth first search.&lt;br /&gt;
&lt;br /&gt;
Important points we covered in todays lec is &amp;#039;&amp;#039;&amp;#039;Bredth first search&amp;#039;&amp;#039;&amp;#039; and &amp;#039;&amp;#039;&amp;#039;Debth first search&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
&lt;br /&gt;
Bredth first search is better than depth first search, And depth first search has memory efficient.&lt;br /&gt;
&lt;br /&gt;
Depth goes down untill it reaches an end.&lt;br /&gt;
&lt;br /&gt;
Bredth grows wide.&lt;br /&gt;
&lt;br /&gt;
==Bredth first search and Depth first search==&lt;br /&gt;
In bredth first search we have got the following: &lt;br /&gt;
&lt;br /&gt;
number of nodes in level &amp;#039;i&amp;#039; can be b^i&lt;br /&gt;
&lt;br /&gt;
number of nodes at depth &amp;lt;= k can be written as ∑_(i=0)^k▒〖b^i  =〖(b〗^(k+1)-1〗)/(b-1) ( i tried in Microsoft but dint work)&lt;br /&gt;
actually it says that sigma from i=0 to k (b power i) = b power(k+1) - 1 divided by (b-1) &lt;br /&gt;
&lt;br /&gt;
where k is depth with branching factor b.&lt;br /&gt;
&lt;br /&gt;
==Iterative deepening==&lt;br /&gt;
Number of nodes examining by &amp;#039;&amp;#039;&amp;#039;iterative deepening&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
&lt;br /&gt;
1+(1+b)+(1+b+b^2)-------(1+b+----+b^k). Here as k grows the depth grows.&lt;br /&gt;
Here total number of nodes are less than the number of nodes in the lowest level.&lt;br /&gt;
&lt;br /&gt;
==Conclusion==&lt;br /&gt;
Then concluded that bredth first search is very quick and not going have any problem with memory.&lt;br /&gt;
Bredth search is more efficient when we take in time point of view thats why bredth first search is good.&lt;br /&gt;
&lt;br /&gt;
==Thursday and Friday&amp;#039;s lectures==&lt;br /&gt;
Today was the last lecturing, on thursday and friday we are going to go through previous years papers..... so get a couple of previous years question papers Mark will go through the paper and students can ask any specific doubts from those. In exam multi choice questions has 5 choices.&lt;br /&gt;
&lt;br /&gt;
==Accessing the Notes==&lt;br /&gt;
Finally he showed us where is posted the lecture slides that he has, the site is:&lt;br /&gt;
[https://www.se.auckland.ac.nz/courses/SOFTENG250/lectures/BST.pdf link Lecture sildes]&lt;/div&gt;</summary>
		<author><name>Mark</name></author>
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