Randomized Algorithms (Spring 2010)/Balls and bins: Difference between revisions

From TCS Wiki
Jump to navigation Jump to search
imported>WikiSysop
m Protected "Randomized Algorithms (Spring 2010)/Expectations, moments, deviations" ([edit=sysop] (indefinite) [move=sysop] (indefinite))
imported>WikiSysop
Line 1: Line 1:
== Expectation ==
== Random Variables and Expectations ==
What do we mean by the sentence "<math>X</math> is a '''random variable'''"? I guess most os us just imagine that <math>X</math> is like a random dice whose value is ranging over a set <math>R</math> of values, such that for each <math>x\in R</math>, <math>X=x</math> with some specific probability <math>p(x)</math>, so we say that "<math>X</math> is distributed over <math>R</math> with probability distribution <math>p</math>".
 


=== Linearity of Expectation ===
=== Linearity of Expectation ===
Line 6: Line 8:


=== The coupon collector problem ===
=== The coupon collector problem ===


== Deviation bounds ==
== Deviation bounds ==

Revision as of 06:18, 15 January 2010

Random Variables and Expectations

What do we mean by the sentence "[math]\displaystyle{ X }[/math] is a random variable"? I guess most os us just imagine that [math]\displaystyle{ X }[/math] is like a random dice whose value is ranging over a set [math]\displaystyle{ R }[/math] of values, such that for each [math]\displaystyle{ x\in R }[/math], [math]\displaystyle{ X=x }[/math] with some specific probability [math]\displaystyle{ p(x) }[/math], so we say that "[math]\displaystyle{ X }[/math] is distributed over [math]\displaystyle{ R }[/math] with probability distribution [math]\displaystyle{ p }[/math]".


Linearity of Expectation

Balls-into-bins model

The coupon collector problem

Deviation bounds

Markov's inequality

Chebyshev's inequality

The coupon collector revisited

The [math]\displaystyle{ k }[/math]-Median Problem