This is the recitation homepage for Fundamental Algorithms. The recitation is Fridays, 6:10-7pm in WWH 517. My office hours are Fridays, 7-8pm in WWH 517. If you cannot make these office hours due to a conflicting class, email me and we can meet another day. ### Main course page http://www.cs.tau.ac.il/~shpilka/courses/alg2017.html ### Recitation Notes - Lecture 1, Sep 8: Induction, strong induction, and HW 1 clarifications. - [Lecture 2, Sep 15](lecture-09-15.html): Asymptotic notation, HW1 problem 1 (c). - [Lecture 3, Sep 22](lecture-09-22.html): Quick sort review, Hoare's partition algorithm, insertion sort vs quick sort, Towers of Hanoi problem. - Lecture 4, Sep 29: (Prof Amir covered this one). - Lecture 5, Oct 6: HW2 Q2, HW3 Q2. - Lecture 6, Oct 13: HW4 Q2, why BST doesn't use heap property/alternate property, CLRS 12.2-5. - [Lecture 7, Oct 20](lecture-10-20.html): Dynamic Programming review, word processing problem. - Lecture 8, Oct 27: Midterm solutions. - Lecture 9, Nov 3: [Tiling problem](https://www.iarcs.org.in/inoi/online-study-material/topics/dp-tiling.php) (DP), CLRS 16.2-7 (greedy). - Lecture 10, Nov 10: HW7 Q4, CLRS Section 22.2. - Lecture 11, Nov 17: - HW9 Q3(a) - CLRS Problem 22-2: articulation points (we did until part (b)) - (Optional bonus problem: CLRS 22.1-6: finding a universal sink). - Lecture 12, Dec 1: Recap of Bellman-Ford, [avoiding trolls problem](lecture-12-01.html). - Lecture 13, Dec 8: Recap of Dijkstra and Floyd-Warshall algorithms. Problems: - CLRS 24.3-2 and CLRS 24.3-3 - Why can't we add a positive number to all edge weights to make all edge weights positive and then run Dijkstra's algorithm? - Challenge: find the shortest path tree with minimum total weight (where the weight of a tree is the sum of the weight of all edges in the tree). ### Interview/Challenge Problems and Resources Here are some websites with collections of problems and resources that will be useful if you want to prepare for an interview for a software engineering role at Google, Facebook, etc. - [Topcoder Tutorials](https://www.topcoder.com/community/data-science/data-science-tutorials/) - [SPOJ tutorial problems](http://www.spoj.com/problems/tutorial/) - [USACO training program](http://train.usaco.org/usacogate) - [Codeforces problem archive](http://codeforces.com/contests) - [CodeChef practice problems](https://www.codechef.com/problems/school) Many of the sites above also have regular programming competitions, which can be fun once you've learnt the basic algorithms and strategies.