Course Description This course is part three of a specialization on algorithms and data structures. It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and ...

Learn more about the Dynamic Programming, Greedy Algorithms course here including a course overview, cost information, related jobs and more.

Researchers have applied space–time tiling techniques to the classic Nussinov algorithm, achieving notable improvements in parallel performance and scalability on multi-core architectures [1].

RL, Blundell noted, is basically a graph algorithm. It’s a dynamic programming update and it’s closely related to a shortest path algorithm — it’s like an online shortest path algorithm.

Finally, we will provide a brief overview of linear programming algorithms including the famous Simplex algorithm for solving linear programs. The problem set will guide you towards posing and solving ...

The team designed a fully dynamic APSP algorithm in the MPC model with low round complexity that is faster than all the existing static parallel APSP algorithms.

Exclusive The advent of advertiser-supplied algorithms for real-time bidding platforms could give rise to an ecosystem of rentable ad code.

The Dynamic Programming and Optimal Control class focuses on optimal path planning and solving optimal control problems for dynamic systems. It stands out for several reasons: It is multidisciplinary, ...