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The course is given by [[http://ad.informatik.uni-freiburg.de/staff/storandt|Dr. Sabine Storandt]]. It takes place every Monday and Wednesday from 10:15am until 11:45am in the Hörsaal HS036 in building 101. Exercises (E) will be bi-weekly, starting at 30.04.2014. | The course is given by [[http://ad.informatik.uni-freiburg.de/staff/storandt|Dr. Sabine Storandt]]. It takes place every Monday and Wednesday from 10:15am until 11:45am in the Hörsaal 03-26 in building 51. |
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28.04. | '''Topics''' |
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30.04. (E) | - Las Vegas & Monte Carlo Algorithms |
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05.05. | - Applications for Randomized Algorithms and Data Structures |
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07.05. | - Improving Deterministic Bounds via Randomization |
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12.05. | - Randomization in Games and AI |
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14.05. (E) | - Randomized Online Algorithms |
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19.05. | - Probabilistic Method |
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21.05. | |
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26.05. | |
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28.05. (E) -> replacement lecturer | '''Script''' |
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02.06. | The complete script of the lecture (including some further references) is available in the course svn repository. |
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04.06. | The final version (last change: 28.08.14) of the script can be viewed [[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/script.pdf|here.]] |
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Pfingstpause | '''Exam''' |
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16.06. | The oral exam takes place at 26.08.2014. |
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18.06. (E) | [[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/questions.pdf|Here]] is a list of example questions that are likely to be asked in the exam. |
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23.06. | |
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25.06. | '''Question Time''' |
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30.06. | ==> Monday, 04.08. at 16:15 and Monday, 25.08. at 10:15 (Hörsaal 03-26 in building 51). Please come prepared, i.e. read through the script before and tell me explicitly what is unclear or where you need additional explanations. |
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02.07. (E) | |
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07.07. | |
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09.07. | '''Dates''' |
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14.07. 16.07. (E) 21.07. 23.07. 28.07. 30.07. (E) |
1. Preliminaries * 28.04. ''Introduction & Basic Stochastics'' [[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture1.pdf|notes]] * 30.04. ''Las Vegas and Monte Carlo Algorithms: Analysis and Concentration Bounds, LV & MC for Max 3-SAT'' [[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture2.pdf|notes]] 2. Randomized Algorithms and Data Structures * 05.05. ''k-Select, Approximative Median and Quick-Sort, Sorting Lower Bound'' [[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture3.pdf|notes]] * 07.05. ''Sorting Lower Bounds continued, Deterministic & Randomized Skip-Lists''[[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture4.pdf|notes]] * 12.05. ''Universal Hashing''[[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture5.pdf|notes]] * 14.05. ''Exercise. Focus: Deterministic & Randomized Sorting'' [[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture6.pdf|notes]][[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Code/sort|example code]] * 19.05. ''Fingerprinting and Further Hashing Applications, Introduction to Sampling''[[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture7.pdf|notes]] * 21.05. ''VC-dimension of Set Systems & Epsilon-Nets'' [[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture8.pdf|notes]] * 26.05. ''Exercise + Good Random Samples for Systems with Small VC-dimension and Epsilon-Nets'' [[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture9.pdf|notes]] * 02.06. ''Good Hitting Set Approximations'' [[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture10.pdf|notes]] * 04.06. ''Route Planning and Epsilon-Nets'' [[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture11.pdf|notes]] * 16.06. ''Exercise. Focus: Hitting Sets for Road Networks''[[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture12.pdf|notes]][[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Code/hit|example code]] 3. Getting Beyond Deterministic Bounds via Randomization * 18.06. ''The Closest Pair problem''[[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture13.pdf|notes]] * 23.06. ''The Min Cut problem''[[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture14.pdf|notes]] * 25.06. ''Sublinear Algorithms''[[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture15.pdf|notes]] * 30.06. ''Long Path problems + Exercise (Min Cut and Connected Components)''[[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture16.pdf|notes]][[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Code/cc|example code connected components]][[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Code/mincut|example code min cut]] 4. Randomization in AI * 02.07. ''Exercise (Min Cut ctd. and Long Path) + The Cow Path Problem'' [[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture17.pdf|notes]] * 07.07. ''Robot Navigation in Unknown Terrain: Deterministic Algorithms''[[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture18.pdf|notes]] * 09.07. ''Robot Navigation in Unknown Terrain: Randomized Algorithm''[[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture19.pdf|notes]] * 14.07. ''Robot Navigation ctd., Competitive Bidding, Exercise: Cows & Robots''[[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture20.pdf|notes]] 5. Online Algorithms * 16.07. ''The Paging problem'' [[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture21.pdf|notes]] * 21.07. ''Renting Skies and Buying a Bahn Card'' [[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture22.pdf|notes]] 6. Probabilistic Method * 23.07. ''Lovasz Local Lemma''[[https://daphne.informatik.uni-freiburg.de/svn-public/RandomizedAlgorithmsSS2014/public/lectures/Lecture23.pdf|notes]] |
Randomized Algorithms (summer term 2014)
The course is given by Dr. Sabine Storandt. It takes place every Monday and Wednesday from 10:15am until 11:45am in the Hörsaal 03-26 in building 51.
Topics
- Las Vegas & Monte Carlo Algorithms
- Applications for Randomized Algorithms and Data Structures
- Improving Deterministic Bounds via Randomization
- Randomization in Games and AI
- Randomized Online Algorithms
- Probabilistic Method
Script
The complete script of the lecture (including some further references) is available in the course svn repository.
The final version (last change: 28.08.14) of the script can be viewed here.
Exam
The oral exam takes place at 26.08.2014.
Here is a list of example questions that are likely to be asked in the exam.
Question Time
==> Monday, 04.08. at 16:15 and Monday, 25.08. at 10:15 (Hörsaal 03-26 in building 51). Please come prepared, i.e. read through the script before and tell me explicitly what is unclear or where you need additional explanations.
Dates
1. Preliminaries
28.04. Introduction & Basic Stochastics notes
30.04. Las Vegas and Monte Carlo Algorithms: Analysis and Concentration Bounds, LV & MC for Max 3-SAT notes
2. Randomized Algorithms and Data Structures
05.05. k-Select, Approximative Median and Quick-Sort, Sorting Lower Bound notes
07.05. Sorting Lower Bounds continued, Deterministic & Randomized Skip-Listsnotes
12.05. Universal Hashingnotes
14.05. Exercise. Focus: Deterministic & Randomized Sorting notesexample code
19.05. Fingerprinting and Further Hashing Applications, Introduction to Samplingnotes
21.05. VC-dimension of Set Systems & Epsilon-Nets notes
26.05. Exercise + Good Random Samples for Systems with Small VC-dimension and Epsilon-Nets notes
02.06. Good Hitting Set Approximations notes
04.06. Route Planning and Epsilon-Nets notes
16.06. Exercise. Focus: Hitting Sets for Road Networksnotesexample code
3. Getting Beyond Deterministic Bounds via Randomization
18.06. The Closest Pair problemnotes
23.06. The Min Cut problemnotes
25.06. Sublinear Algorithmsnotes
30.06. Long Path problems + Exercise (Min Cut and Connected Components)notesexample code connected componentsexample code min cut
4. Randomization in AI
02.07. Exercise (Min Cut ctd. and Long Path) + The Cow Path Problem notes
07.07. Robot Navigation in Unknown Terrain: Deterministic Algorithmsnotes
09.07. Robot Navigation in Unknown Terrain: Randomized Algorithmnotes
14.07. Robot Navigation ctd., Competitive Bidding, Exercise: Cows & Robotsnotes
5. Online Algorithms
6. Probabilistic Method
23.07. Lovasz Local Lemmanotes