Formulate linear and integer programming problems for solving commonly encountered optimization problems. Understand how approximation algorithms compute solutions that are guaranteed to be within ...

In programming, algorithms play an invaluable role in problem solving, so it is important to note that algorithms have a larger impact in our world than simply getting millions of crawling links ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Algorithms are now responsible for about 70 per cent of all trades in U.S. equities. They execute trades at speeds and volumes that were, until recently, simply unimaginable.

The developer says users can program algorithms faster than with C, C++, or Fortran. Tools include an editor for editing and debugging, and a profiler, which records the time spent executing each ...

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.

Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...