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	<title>Comments on: Homework 5: Randomization</title>
	<atom:link href="http://apollonius.cs.utah.edu/classes/algorithmsf07/?feed=rss2&#038;p=69" rel="self" type="application/rss+xml" />
	<link>http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/</link>
	<description>Suresh Venkatasubramanian // MEB 3105 // MW 1045-1205</description>
	<pubDate>Tue, 24 Nov 2009 02:41:06 +0000</pubDate>
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		<item>
		<title>By: admin</title>
		<link>http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/#comment-138</link>
		<dc:creator>admin</dc:creator>
		<pubDate>Mon, 03 Dec 2007 08:55:13 +0000</pubDate>
		<guid isPermaLink="false">http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/#comment-138</guid>
		<description>Part of the problem is to find a reasonable strategy. It doesn't have to be optimal, as long as you can show the desired bound.</description>
		<content:encoded><![CDATA[<p>Part of the problem is to find a reasonable strategy. It doesn&#8217;t have to be optimal, as long as you can show the desired bound.</p>
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		<title>By: Question 5 (13.16)</title>
		<link>http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/#comment-137</link>
		<dc:creator>Question 5 (13.16)</dc:creator>
		<pubDate>Mon, 03 Dec 2007 08:53:09 +0000</pubDate>
		<guid isPermaLink="false">http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/#comment-137</guid>
		<description>Can we assume any strategy we like(that simplifies the math rather than being optimal) that the receivers use collaboratively to produce $\beta$? If not, is the closed form for $k$ a must?</description>
		<content:encoded><![CDATA[<p>Can we assume any strategy we like(that simplifies the math rather than being optimal) that the receivers use collaboratively to produce $\beta$? If not, is the closed form for $k$ a must?</p>
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		<title>By: admin</title>
		<link>http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/#comment-136</link>
		<dc:creator>admin</dc:creator>
		<pubDate>Mon, 03 Dec 2007 01:18:09 +0000</pubDate>
		<guid isPermaLink="false">http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/#comment-136</guid>
		<description>p.s it helps me if you post some identifying marker as your ID, rather than Anonymous. You don't need to post your name: merely something that allows me to connect the various conversation threads together.</description>
		<content:encoded><![CDATA[<p>p.s it helps me if you post some identifying marker as your ID, rather than Anonymous. You don&#8217;t need to post your name: merely something that allows me to connect the various conversation threads together.</p>
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	<item>
		<title>By: admin</title>
		<link>http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/#comment-135</link>
		<dc:creator>admin</dc:creator>
		<pubDate>Mon, 03 Dec 2007 01:17:22 +0000</pubDate>
		<guid isPermaLink="false">http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/#comment-135</guid>
		<description>Regarding 5.2, as I said earlier, assume that e = 1 (which doesn't make any sense anyway). 

Regarding 5.5, you can solve for any k you want, as long as you get the desired bound. And to answer the second part of the question, the probability of success can be at least 9/10.</description>
		<content:encoded><![CDATA[<p>Regarding 5.2, as I said earlier, assume that e = 1 (which doesn&#8217;t make any sense anyway). </p>
<p>Regarding 5.5, you can solve for any k you want, as long as you get the desired bound. And to answer the second part of the question, the probability of success can be at least 9/10.</p>
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	<item>
		<title>By: Anonymous</title>
		<link>http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/#comment-134</link>
		<dc:creator>Anonymous</dc:creator>
		<pubDate>Mon, 03 Dec 2007 00:15:25 +0000</pubDate>
		<guid isPermaLink="false">http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/#comment-134</guid>
		<description>In problem 5.5 (13.16 in the text) must k be a function of n? Can k be a constant? 
Also, does the probability of B being correct have to be 9/10 or can it be greater?</description>
		<content:encoded><![CDATA[<p>In problem 5.5 (13.16 in the text) must k be a function of n? Can k be a constant?<br />
Also, does the probability of B being correct have to be 9/10 or can it be greater?</p>
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		<title>By: Anonymous</title>
		<link>http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/#comment-133</link>
		<dc:creator>Anonymous</dc:creator>
		<pubDate>Sun, 02 Dec 2007 23:49:51 +0000</pubDate>
		<guid isPermaLink="false">http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/#comment-133</guid>
		<description>Again, for 5.2:
You say it is impossible to assign a constant value to c when e = 0,
well you can assign c to 2*sqrt(n) and this will make the boolean statement always false, correct? however you can also assign anything greater than 2*sqrt(n) and this is why we cannot assign a 'constant' value, correct?
Well if this is the case for the 'upper bound' for assigning a constant to c ('lower bound' for e), then the 'lower bound' for assigning a constant value to c should also be present (this is an assumption, not a logical connection) Investigating if there is actually a 'lower bound' one will find -2*sqrt = c. This is the 'upper bound' for e, 1, which means that it is always possible. This makes sense, for if we have any c less than -2*sqrt(n), then the statement is always true. If this is in fact the case, I can't prove that for any e &#62; 0, there exists a constant c for the provided statement. For there is not a single constant value for c when e &#62;= 1.
Where has my logic been lost?</description>
		<content:encoded><![CDATA[<p>Again, for 5.2:<br />
You say it is impossible to assign a constant value to c when e = 0,<br />
well you can assign c to 2*sqrt(n) and this will make the boolean statement always false, correct? however you can also assign anything greater than 2*sqrt(n) and this is why we cannot assign a &#8216;constant&#8217; value, correct?<br />
Well if this is the case for the &#8216;upper bound&#8217; for assigning a constant to c (&#8217;lower bound&#8217; for e), then the &#8216;lower bound&#8217; for assigning a constant value to c should also be present (this is an assumption, not a logical connection) Investigating if there is actually a &#8216;lower bound&#8217; one will find -2*sqrt = c. This is the &#8216;upper bound&#8217; for e, 1, which means that it is always possible. This makes sense, for if we have any c less than -2*sqrt(n), then the statement is always true. If this is in fact the case, I can&#8217;t prove that for any e &gt; 0, there exists a constant c for the provided statement. For there is not a single constant value for c when e &gt;= 1.<br />
Where has my logic been lost?</p>
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		<title>By: admin</title>
		<link>http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/#comment-132</link>
		<dc:creator>admin</dc:creator>
		<pubDate>Sun, 02 Dec 2007 23:27:22 +0000</pubDate>
		<guid isPermaLink="false">http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/#comment-132</guid>
		<description>&lt;i&gt;In other words, if we adopt a deterministic approach, then this assignment of k processes to 2 machines would have been determined once at the start only. And then all n jobs would run their 2n processes according to that mapping??&lt;/i&gt;

Yes, that's exactly right. And in the randomized case, all that changes is that the assignment is determined in a randomized machine. It is still determined at the start.</description>
		<content:encoded><![CDATA[<p><i>In other words, if we adopt a deterministic approach, then this assignment of k processes to 2 machines would have been determined once at the start only. And then all n jobs would run their 2n processes according to that mapping??</i></p>
<p>Yes, that&#8217;s exactly right. And in the randomized case, all that changes is that the assignment is determined in a randomized machine. It is still determined at the start.</p>
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	<item>
		<title>By: Anonymous</title>
		<link>http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/#comment-131</link>
		<dc:creator>Anonymous</dc:creator>
		<pubDate>Sun, 02 Dec 2007 23:24:04 +0000</pubDate>
		<guid isPermaLink="false">http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/#comment-131</guid>
		<description>Thanks. Hmmm... perhaps I am not able to comprehend the problem well. Suppose, for a moment, we don't think of randomizing the assignment. Then essentially, this translates to figuring out an assignment of all the 'k' basic processes (which is the universal set P, where k&#62;2n) to either M1 or M2. And we'd like to do so in a way which "nearly balances" some n subsets of P (where each subset has size 2n).
In other words, if we adopt a deterministic approach, then this assignment of k processes to 2 machines would have been determined once at the start only.  And then all n jobs would run their 2n processes according to that mapping??</description>
		<content:encoded><![CDATA[<p>Thanks. Hmmm&#8230; perhaps I am not able to comprehend the problem well. Suppose, for a moment, we don&#8217;t think of randomizing the assignment. Then essentially, this translates to figuring out an assignment of all the &#8216;k&#8217; basic processes (which is the universal set P, where k&gt;2n) to either M1 or M2. And we&#8217;d like to do so in a way which &#8220;nearly balances&#8221; some n subsets of P (where each subset has size 2n).<br />
In other words, if we adopt a deterministic approach, then this assignment of k processes to 2 machines would have been determined once at the start only.  And then all n jobs would run their 2n processes according to that mapping??</p>
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	<item>
		<title>By: admin</title>
		<link>http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/#comment-130</link>
		<dc:creator>admin</dc:creator>
		<pubDate>Sun, 02 Dec 2007 23:17:53 +0000</pubDate>
		<guid isPermaLink="false">http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/#comment-130</guid>
		<description>Well, it's impossible to assign a constant for the case e = 0, because even a heavily skewed assignment is possible with some nonzero probability. What will happen is that the value of c will grow without bound as e tends to zero.

In general, it does not make sense to set epsilon to be more than 1, yes. 

If you're asking whether there should be a corresponding upper bound for the Pr(Xh - Xt  c*sqrt{n})), which requires different kinds of arguments.</description>
		<content:encoded><![CDATA[<p>Well, it&#8217;s impossible to assign a constant for the case e = 0, because even a heavily skewed assignment is possible with some nonzero probability. What will happen is that the value of c will grow without bound as e tends to zero.</p>
<p>In general, it does not make sense to set epsilon to be more than 1, yes. </p>
<p>If you&#8217;re asking whether there should be a corresponding upper bound for the Pr(Xh - Xt  c*sqrt{n})), which requires different kinds of arguments.</p>
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	<item>
		<title>By: Anonymous</title>
		<link>http://apollonius.cs.utah.edu/classes/algorithmsf07/2007/11/21/homework-5-randomization/#comment-129</link>
		<dc:creator>Anonymous</dc:creator>
		<pubDate>Sun, 02 Dec 2007 22:57:46 +0000</pubDate>
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		<description>Did that go through?</description>
		<content:encoded><![CDATA[<p>Did that go through?</p>
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