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15-211
Wednesday, February 13, 2008
Recitation 5: Dynamic Programming
Here are the solutions to the problem that we worked on in recitation. However the way to do dynamic programming problems is not to just look at solutions. The way to get good at them is to do a bunch of examples.
Solutions
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Office Hours Canceled
Midterm Cheat Sheet
Midterm Cheat Sheet
Lecture Notes
Lecture 13: Huffman Compression
Lecture 12: Heaps
Lecture 11: 2-3-4 Trees
Recitation 7: Huffman Compression
Additional Office Hour 2/15
Lecture 10: Binary Search Trees II (Splay Trees)
emoose
Recitation 5: Dynamic Programming
Lecture 5: Hashing (Open Addressing)
Lecture 4: Hashing (Chaining)
Lecture 3: Recurrences/Stacks/Queues
Lecture 9: Binary Search Trees I
Lecture 8: Dynamic Programming III
Lecture 7: Dynamic Programming II
Homework 3 : Part A
Office hour changed
Clarification of Snake Theory Question 2
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