Final project for CSC172 (Data Structures and Algorithms) at the University of Rochester. Coded in the course of a few days for the final major grade of the semester. See the assignment folder for more information. The basics of this excercise, in easily-understandable english:
Expand and understand two different types of algorithms to generate "Optimal BSTs" for specifically-given data. In this case, we're creating Huffman Code-like trees that are based off of a set of keys and associated probabilities. The higher the probability, the easier (computation/data structure-wise) it should be to retrieve.
The given trees that must be reproducable by the end of this assignment are the leftmost and rightmost pictures below (middle is the "balanced" option, not part of this project):
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