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
- Randomized paging, packing/covering linear programs, weak duality, approximate complementary slackness, primal/dual online ...
- ... trivial ok so actually there was a very interesting situation last time just like we need dollar by dollar
- Instructor: Aditya Bhaskara Greedy
- Thanks yeah so two things must happen like one is
- Reduction.
Detailed Analysis of Advanced Algorithms Fall 2017 Lecture 4
Symmetrization, hashing: linear probing (5-wise indep.), bloom filters, cuckoo hashing, bloomier filters. Path-following interior point, first order methods (gradient descent). Splay trees.
second order methods (Newton's method), path-following interior point wrap-up.
That wraps up our extensive overview of Advanced Algorithms Fall 2017 Lecture 4.