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@ -591,12 +591,11 @@ Then test it out on a computer to make sure it's not buggy from syntax.
- [x] lecture begins at 35:00: https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b
- [x] lecture begins at 23:50: https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10
- [x] Coursera: Algorithmic Thinking, Part II
- [x] The sorting problem: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/yZ9Dh/the-sorting-problem
- [x] A simple quadratic algorithm: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/aJcei/a-simple-quadratic-algorithm
- [x] Illustrating MergeSort: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/vymK5/illustrating-mergesort
- [x] The recurrence for MergeSort: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/mFGa0/the-recurrence-for-mergesort
- [x] The Master Theorem and MergeSort efficiency: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/Zb4R8/the-master-theorem-and-mergesort-efficiency
- [ ] UC Berkeley:
- [ ] CS 61B Lecture 29: Sorting I: https://www.youtube.com/watch?v=EiUvYS2DT6I&list=PL4BBB74C7D2A1049C&index=29
- [ ] CS 61B Lecture 30: Sorting II: https://www.youtube.com/watch?v=2hTY3t80Qsk&list=PL4BBB74C7D2A1049C&index=30
- [ ] CS 61B Lecture 32: Sorting III: https://www.youtube.com/watch?v=Y6LOLpxg6Dc&index=32&list=PL4BBB74C7D2A1049C
- [ ] CS 61B Lecture 33: Sorting V: https://www.youtube.com/watch?v=qNMQ4ly43p4&index=33&list=PL4BBB74C7D2A1049C
- [x] - Merge sort code:
- [x] Using output array: http://www.cs.yale.edu/homes/aspnes/classes/223/examples/sorting/mergesort.c
@ -612,9 +611,10 @@ Then test it out on a computer to make sure it's not buggy from syntax.
- For heapsort, see Heap data structure above.
- [x] For curiosity - not required:
- [x] Radix Sort: http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#radixSort
- [x] Radix Sort: https://www.youtube.com/watch?v=xhr26ia4k38
- [x] Radix Sort, Counting Sort (linear time given constraints): https://www.youtube.com/watch?v=Nz1KZXbghj8&index=7&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb
- [x] Radix Sort: http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#radixSort
- [x] Radix Sort: https://www.youtube.com/watch?v=xhr26ia4k38
- [x] Radix Sort, Counting Sort (linear time given constraints): https://www.youtube.com/watch?v=Nz1KZXbghj8&index=7&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb
- [ ] Randomization: Matrix Multiply, Quicksort: https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp
## Graphs
@ -629,34 +629,49 @@ Then test it out on a computer to make sure it's not buggy from syntax.
- BFS and DFS - know their computational complexity, their tradeoffs, and how to implement them in real code
- If you get a chance, try to study up on fancier algorithms:
- Dijkstra's algorithm
- https://www.youtube.com/watch?v=2E7MmKv0Y24&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=16
- https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm
- A*
- https://en.wikipedia.org/wiki/A*_search_algorithm
- When asked a question, look for a graph-based solution first, then move on if none.
- Graphs:
- https://www.youtube.com/watch?v=ylWAB6CMYiY&list=PL4BBB74C7D2A1049C&index=27
- https://www.youtube.com/watch?v=OiXxhDrFruw&index=11&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b
- [ ] Graph Algorithms I - Topological Sorting, Prim's Algorithm - Lecture 6: https://www.youtube.com/watch?v=i_AQT_XfvD8&index=6&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm
- [ ] Graph Algorithms II - DFS, BFS, Kruskal's Algorithm, Union Find Data Structure - Lecture 7: https://www.youtube.com/watch?v=ufj5_bppBsA&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=7
- [ ] Graph Algorithms III: Shortest Path - Lecture 8: https://www.youtube.com/watch?v=DiedsPsMKXc&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=8
- [ ] Graph Alg. IV: Intro to geometric algorithms - Lecture 9: https://www.youtube.com/watch?v=XIAQRlNkJAw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=9
- [ ] CS 61B Lecture 27: Graphs: https://www.youtube.com/watch?v=ylWAB6CMYiY&list=PL4BBB74C7D2A1049C&index=27
- [ ] CS 61B Lecture 28: Weighted Graphs: https://www.youtube.com/watch?v=OiXxhDrFruw&index=11&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b
- [ ] Greedy Algorithms: Minimum Spanning Tree: https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp
- Weighted graphs:
- https://www.youtube.com/watch?v=zFbq8vOZ_0k&list=PL4BBB74C7D2A1049C&index=28
- Skiena Lectures:
- [ ] CSE373 2012 - Lecture 11 - Graph Data Structures: https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11
- [ ] CSE373 2012 - Lecture 12 - Breadth-First Search: https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12
- [ ] CSE373 2012 - Lecture 13 - Graph Algorithms: https://www.youtube.com/watch?v=S23W6eTcqdY&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=13
- [ ] CSE373 2012 - Lecture 14 - Graph Algorithms (con't): https://www.youtube.com/watch?v=WitPBKGV0HY&index=14&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b
- [ ] CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2): https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b
- [ ] CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3): https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b
- Compute Strongly Connected Components
- [ ] https://www.coursera.org/learn/algorithms-on-graphs/home/week/5
- Advanced Graph Processing:
- [ ] Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees: https://www.youtube.com/watch?v=mUBmcbbJNf4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=27
- [ ] Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees: https://www.youtube.com/watch?v=kQ-UQAzcnzA&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=28
- Full Coursera Course: Algorithms on Graphs: https://www.coursera.org/learn/algorithms-on-graphs/home/welcome
- Implement:
- [ ] Dijkstra's algorithm
- [ ] A*
- For Curiosity:
- [ ] MIT Lecture: Speeding up Dijkstra: https://www.youtube.com/watch?v=CHvQ3q_gJ7E
- [ ] Speeding up Dijkstra: https://www.youtube.com/watch?v=CHvQ3q_gJ7E
- covers Fibonacci heap, a more complicated but more efficient heap than binary heap
- [ ] Bellman-Ford: https://www.youtube.com/watch?v=ozsuci5pIso&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=17
You'll get more graph practice in Skiena's book (see Books section below) and the interview books
## Even More Knowledge
This area is sparse, and I'll be filling it in once I get here.
Some items are sparse, and I'll be filling them in once I get here.
- [ ] Caches
- LRU cache
@ -665,6 +680,14 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
- Know about the most famous classes of NP-complete problems, such as traveling salesman and the knapsack problem,
and be able to recognize them when an interviewer asks you them in disguise.
- Know what NP-complete means.
- [ ] Computational Complexity: https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23
- [ ] CSE373 2012 - Lecture 23 - Introduction to NP-Completeness: https://www.youtube.com/watch?v=KiK5TVgXbFg&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=23
- [ ] CSE373 2012 - Lecture 24 - NP-Completeness Proofs: https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b
- [ ] CSE373 2012 - Lecture 25 - NP-Completeness Challenge: https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b
- [ ] Complexity: P, NP, NP-completeness, Reductions: https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22
- [ ] Recitation R8. NP-Complete Problems: https://www.youtube.com/watch?v=G7mqtB6npfE&index=23&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp
- [ ] Complexity: Approximation Algorithms: https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24
- [ ] Complexity: Fixed-Parameter Algorithms: https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp
- [ ] Recursion
- when it is appropriate to use it
@ -674,19 +697,48 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
- [ ] https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8
- [ ] https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9
- [ ] open-ended problems
- manipulate strings
- manipulate patterns
- [ ] string searching:
- [ ] Search pattern in text: https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text
- [ ] Karp-Rabin:
https://www.coursera.org/learn/data-structures/lecture/c0Qkw/rabin-karps-algorithm
https://www.youtube.com/watch?v=BRO7mVIFt08&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=9
- [ ] Precomputing: https://www.coursera.org/learn/data-structures/lecture/nYrc8/optimization-precomputation
- [ ] Optimization: Implementation and Analysis: https://www.coursera.org/learn/data-structures/lecture/h4ZLc/optimization-implementation-and-analysis
- [ ] Combinatorics (n choose k)
- [ ] Probability
- https://www.youtube.com/watch?v=sZkAAk9Wwa4
- https://www.youtube.com/watch?v=dNaJg-mLobQ
- [ ] Combinatorics (n choose k) & Probability
- [ ] Make School: Probability: https://www.youtube.com/watch?v=sZkAAk9Wwa4
- [ ] Make School: More Probability and Markov Chains: https://www.youtube.com/watch?v=dNaJg-mLobQ
- [ ] MIT 6.042J - Probability Introduction: https://www.youtube.com/watch?v=SmFwFdESMHI&index=18&list=PLB7540DEDD482705B
- [ ] MIT 6.042J - Conditional Probability: https://www.youtube.com/watch?v=E6FbvM-FGZ8&index=19&list=PLB7540DEDD482705B
- [ ] MIT 6.042J - Independence: https://www.youtube.com/watch?v=l1BCv3qqW4A&index=20&list=PLB7540DEDD482705B
- [ ] MIT 6.042J - Random Variables: https://www.youtube.com/watch?v=MOfhhFaQdjw&list=PLB7540DEDD482705B&index=21
- [ ] MIT 6.042J - Expectation I: https://www.youtube.com/watch?v=gGlMSe7uEkA&index=22&list=PLB7540DEDD482705B
- [ ] MIT 6.042J - Expectation II: https://www.youtube.com/watch?v=oI9fMUqgfxY&index=23&list=PLB7540DEDD482705B
- [ ] MIT 6.042J - Large Deviations: https://www.youtube.com/watch?v=q4mwO2qS2z4&index=24&list=PLB7540DEDD482705B
- [ ] MIT 6.042J - Random Walks: https://www.youtube.com/watch?v=56iFMY8QW2k&list=PLB7540DEDD482705B&index=25
- [ ] Dynamic Programming
- [ ] Dynamic Programming I - Lecture 11: https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm
- [ ] Dynamic programming II - Lecture 12: https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12
- [ ] Dynamic Programming I: Fibonacci, Shortest Paths: https://www.youtube.com/watch?v=OQ5jsbhAv_M&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=19
- [ ] Dynamic Programming II: Text Justification, Blackjack: https://www.youtube.com/watch?v=ENyox7kNKeY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=20
- [ ] DP III: Parenthesization, Edit Distance, Knapsack: https://www.youtube.com/watch?v=ocZMDMZwhCY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=21
- [ ] DP IV: Guitar Fingering, Tetris, Super Mario Bros.: https://www.youtube.com/watch?v=tp4_UXaVyx8&index=22&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb
- [ ] Dynamic Programming & Advanced DP: https://www.youtube.com/watch?v=Tw1k46ywN6E&index=14&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp
- [ ] Dynamic Programming: All-Pairs Shortest Paths: https://www.youtube.com/watch?v=NzgFUwOaoIw&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=15
- [ ] Dynamic Programming (student recitation): https://www.youtube.com/watch?v=krZI60lKPek&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=12
- [ ] CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming: https://www.youtube.com/watch?v=Qc2ieXRgR0k&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=19
- [ ] CSE373 2012 - Lecture 20 - Edit Distance: https://www.youtube.com/watch?v=IsmMhMdyeGY&index=20&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b
- [ ] CSE373 2012 - Lecture 21 - Dynamic Programming Examples: https://www.youtube.com/watch?v=o0V9eYF4UI8&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=21
- [ ] CSE373 2012 - Lecture 22 - Applications of Dynamic Programming: https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22
- Coursera:
- [ ] The RNA secondary structure problem: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem
- [ ] A dynamic programming algorithm: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm
- [ ] Illustrating the DP algorithm: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm
- [ ] Running time of the DP algorithm: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm
- [ ] DP vs. recursive implementation: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation
- [ ] Global pairwise sequence alignment: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment
- [ ] Local pairwise sequence alignment: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment
- [ ] Scheduling
@ -945,18 +997,38 @@ Some of mine (I already may know answer to but want their opinion or team perspe
---
---
## Additional Learnings (not required)
Everything below is my recommendation, not Google's, and you may not have enough time to
learn, watch or read them all. That's ok. I may not either.
- [ ] Augmented Data Structures:
- [ ] CS 61B Lecture 39: Augmenting Data Structures: https://www.youtube.com/watch?v=zksIj9O8_jc&list=PL4BBB74C7D2A1049C&index=39
- [ ] Geometry, Convex hull:
- [ ] Geometric Algorithms: Graham & Jarvis - Lecture 10: https://www.youtube.com/watch?v=J5aJEcOr6Eo&index=10&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm
- [ ] Divide & Conquer: Convex Hull, Median Finding: https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2
- [ ] **Skip lists**
- "These are somewhat of a cult data structure" - Skiena
- [ ] MIT: Randomization: Skip Lists: https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp
- [ ] Randomization: Skip Lists: https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp
- [ ] Network Flows:
- [ ] Network Flows: https://www.youtube.com/watch?v=i0q-Irlf4y4&index=5&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9
- [ ] Augmenting Path Algorithms: https://www.youtube.com/watch?v=7QPI3kBIKv4&index=6&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9
- [ ] Network Flow Algorithms: https://www.youtube.com/watch?v=5PR0ExrHO-Q&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=7
- [ ] Linear Programming:
- [ ] Lecture 13 10/11 Linear Programming: https://www.youtube.com/watch?v=IOQApuleqvg&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=11
- [ ] Lecture 14 10/16 Linear Programming: https://www.youtube.com/watch?v=vpX0TSAcdJY&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=12
- [ ] **Disjoint Sets:**
- [ ] https://en.wikipedia.org/wiki/Disjoint-set_data_structure
- [ ] UCB 61B - Disjoint Sets; Sorting & selection: https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21
- [ ] CS 61B Lecture 31: Disjoint Sets: https://www.youtube.com/watch?v=wSPAjGfDl7Q&list=PL4BBB74C7D2A1049C&index=31
- [ ] https://www.coursera.org/learn/data-structures/lecture/JssSY/overview
- [ ] https://www.coursera.org/learn/data-structures/lecture/EM5D0/naive-implementations
- [ ] https://www.coursera.org/learn/data-structures/lecture/Mxu0w/trees
@ -964,9 +1036,11 @@ Some of mine (I already may know answer to but want their opinion or team perspe
- [ ] https://www.coursera.org/learn/data-structures/lecture/Q9CVI/path-compression
- [ ] https://www.coursera.org/learn/data-structures/lecture/GQQLN/analysis-optional
- van Emde Boas Trees
- [ ] van Emde Boas Trees
- [ ] Divide & Conquer: van Emde Boas Trees: https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6
- [ ] Integer Arithmetic, Karatsuba Multiplication: https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb
- [ ] **Treap**
- [ ] ?
@ -982,6 +1056,11 @@ Some of mine (I already may know answer to but want their opinion or team perspe
- [ ] Computer Security:
- MIT (23 videos): https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh
- [ ] Markov text generation:
- [ ] https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation
- [ ] https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/gZhiC/core-implementing-markov-text-generation
- [ ] https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through
- [ ] Information theory:
- Markov processes:
- https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation
@ -994,6 +1073,7 @@ Some of mine (I already may know answer to but want their opinion or team perspe
- http://blog.michaelschmatz.com/2016/04/11/how-to-write-a-bloom-filter-cpp/
- [ ] Fast Fourier Transform
- [ ] Divide & Conquer: FFT: https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4
- http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/
- [ ] Machine Learning:
@ -1021,6 +1101,9 @@ Some of mine (I already may know answer to but want their opinion or team perspe
Sit back and enjoy. "netflix and skill" :P
- [ ] Discrete Mathematics (19 videos):
- https://www.youtube.com/playlist?list=PL3o9D4Dl2FJ9q0_gtFXPh_H4POI5dK0yG
- [ ] Scalability:
- https://www.youtube.com/watch?v=9nWyWwY2Onc
- https://www.youtube.com/watch?v=H4vMcD7zKM0