Understanding Advanced Algorithms Fall 2017 Lecture 4
Let's dive into the details surrounding Advanced Algorithms Fall 2017 Lecture 4. Instructor: Aditya Bhaskara Fast Multiplication - K smallest numbers Dynamic Programming.
Key Takeaways about Advanced Algorithms Fall 2017 Lecture 4
- Amortized analysis, binomial heaps, Fibonacci heaps.
- second order methods (Newton's method), path-following interior point wrap-up.
- Hashing: load balancing, k-wise independence, chaining, linear probing.
- Splay trees.
- Path-following interior point, first order methods (gradient descent).
Detailed Analysis of Advanced Algorithms Fall 2017 Lecture 4
Symmetrization, hashing: linear probing (5-wise indep.), bloom filters, cuckoo hashing, bloomier filters. And E right and then finally I get this right so I have how many steps I have 1 2 3 ... trivial ok so actually there was a very interesting situation last time just like we need dollar by dollar
Hashing: cuckoo hashing analysis, power of two choices.
That wraps up our extensive overview of Advanced Algorithms Fall 2017 Lecture 4.
