Coursera - Algorithms, Part I by Princeton University Assignment Solutions Final Grade %96.80

Percolation Grade -- %95

Finds the percolation threshold via Monte Carlo simulation. The percolation threshold is the probability needed for a cell to be open to almost guarantee that a system percolates. A system percolates if there is a connection between the top and bottom of the system.

http://coursera.cs.princeton.edu/algs4/assignments/percolation.html

Deque and Randomized Queues -- Grade %97

Implementation of a generic double-ended queue and randomized queue (also knowns as a bag)

http://coursera.cs.princeton.edu/algs4/assignments/queues.html

Collinear Points -- Grade %100

Given a set of n points, outputs all distinct maximal line segments containing at least four collinear points, taking advantage of merge sort's stableness to efficiently find maximal line segments and ignore subsegments (algorithm runs in O(nlogn) time).

http://coursera.cs.princeton.edu/algs4/assignments/collinear.html

8 Puzzle Grade %95

Provides a solution to the classic 8-Puzzle problem using a priority queue and the Manhattan distance of all squares from their final position as a heuristic.

http://coursera.cs.princeton.edu/algs4/assignments/8puzzle.html

Kd-Trees -- Grade %97

Performs an efficient range search (find all points contained in a query rectangle) and nearest neighbour search (find closest point to a query point) using a 2d-tree.

http://coursera.cs.princeton.edu/algs4/assignments/kdtree.html