高级算法 (Fall 2024)/Problem Set 1: Difference between revisions

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== Problem 2 (Fingerprinting) ==
== Problem 2 (Fingerprinting) ==
Design a randomized algorithm to decide if an integer sequence <math>a_1,...,a_n</math> is a permutation of another integer sequence <math>b_1,...,b_n</math>. Give upper bounds on the time complexity and the error probability.


== Problem 3 (Hashing) ==
== Problem 3 (Hashing) ==

Revision as of 03:00, 28 September 2024

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Problem 1 (Min-cut/Max-cut)

[Counting [math]\displaystyle{ \alpha }[/math]-approximate min-cut] For any [math]\displaystyle{ \alpha \ge 1 }[/math], a cut is called an [math]\displaystyle{ \alpha }[/math]-approximate min-cut in a multigraph [math]\displaystyle{ G }[/math] if the number of edges in it is at most [math]\displaystyle{ \alpha }[/math] times that of the min-cut. Prove that the number of [math]\displaystyle{ \alpha }[/math]-approximate min-cuts in a multigraph [math]\displaystyle{ G }[/math] is at most [math]\displaystyle{ n^{2\alpha} / 2 }[/math]. (Hint: Run Karger's algorithm until it has [math]\displaystyle{ \lceil 2\alpha \rceil }[/math] supernodes. What is the chance that a particular [math]\displaystyle{ \alpha }[/math]-approximate min-cut is still available? How many possible cuts does this collapsed graph have?)

Problem 2 (Fingerprinting)

Design a randomized algorithm to decide if an integer sequence [math]\displaystyle{ a_1,...,a_n }[/math] is a permutation of another integer sequence [math]\displaystyle{ b_1,...,b_n }[/math]. Give upper bounds on the time complexity and the error probability.

Problem 3 (Hashing)

Problem 4 (Concentration of measure)

Problem 5 (Dimension reduction)