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@@ -700,14 +700,17 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
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Some items are sparse, and I'll be filling them in once I get here.
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-- [ ] **Recursion**
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+- [x] **Recursion**
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+ - [x] Stanford lectures on recursion & backtracking:
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+ - [x] https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8
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+ - [x] https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9
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+ - [x] https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69
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+ - [x] https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11
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- when it is appropriate to use it
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- how is tail recursion better than not?
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- - [ ] Stanford lectures on recursion:
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- - [ ] https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8
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- - [ ] https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9
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- - [ ] Short Series on Recurrence Relations: https://www.youtube.com/playlist?list=PLSVu1-lON6LybCHQs8Io_EhyrEQ4b1xAF
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-
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+ - [x] https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad
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+ - [x] https://www.youtube.com/watch?v=L1jjXGfxozc
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+
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- [ ] **Dynamic Programming**
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- [ ] Videos:
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- [ ] Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming: https://www.youtube.com/watch?v=Qc2ieXRgR0k&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=19
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@@ -754,7 +757,8 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
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- [ ] Simonson: Approximation Algorithms: https://www.youtube.com/watch?v=oDniZCmNmNw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=19
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- [ ] **Garbage collection**
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- - [ ] https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25
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+ - [ ] Computer Science 61B - 2014-04-30: Garbage collection; Augmenting data str: https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25
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+ - [ ] https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff
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- [ ] **Caches**
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- [ ] LRU cache:
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