Lectures and Recitations
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* [http://courses.csail.mit.edu/6.006/fall08/source/rec/r03_BSTobjects.py <code>BSTobjects.py</code>] implements BSTs as python objects | * [http://courses.csail.mit.edu/6.006/fall08/source/rec/r03_BSTobjects.py <code>BSTobjects.py</code>] implements BSTs as python objects | ||
* [http://courses.csail.mit.edu/6.006/fall08/source/rec/r03_BSTlists.py <code>BSTlists.py</code>] implementation extending the one shown in lecture | * [http://courses.csail.mit.edu/6.006/fall08/source/rec/r03_BSTlists.py <code>BSTlists.py</code>] implementation extending the one shown in lecture | ||
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+ | === AVL === | ||
+ | ==== Lecture 4 ==== | ||
+ | ==== Recitation 4 ==== | ||
+ | * [http://www.site.uottawa.ca/~stan/csi2514/applets/avl/BT.html AVL applet] |
Revision as of 01:34, 17 September 2008
Contents |
Introduction and Document Distance
Lecture 1, Introduction and Document Distance
- Document Distance (docdist{1,2,3,4}.py)
- Readings: CLRS Chapters 1,2,3
Recitation 1
Lecture 2, Document Distance, Mergesort
- Document Distance (docdist{5,6}.py)
-
mergesort.py
code from class - Readings:
- CLRS Chapter 11, Sections 1-2; CLRS Chapter 4
- Python Cost Model
Recitation 2 : maximum sum contiguous subarray problem
- Jon Bentley's column on the maximum sum contiguous vector problem discussed in class
- Recitation02 Notes
- R02 warmup problems
-
maxsumsubarray.py
Binary Search Trees
Lecture 3, Binary Search Trees
-
runway.py
code from class - Readings: CLRS Chapter 10; Chapter 12, Sections 1-3
Recitation 3
- Recitation03 Notes
- R03 notes & warmup problems
-
BSTobjects.py
implements BSTs as python objects -
BSTlists.py
implementation extending the one shown in lecture