It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) .

He is the author of the multi-volume work, the magnum opus, The Art of Computer Programming. He made several key contributions to the rigorous analysis of the computational complexity of algorithms.

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

Unlike dynamic programming approaches whose performance relies heavily on the degree of discretization applied to the data, our algorithm does not suffer from such space-complexity issues.

The algorithm successfully identified causal links in every case, compared with most methods that can only handle some cases.

It is worth mentioning that an efficient solution of the problem considered in the example is also obtained using Multiobjective Genetic Algorithm (MOGA) which alongwith the sufficiency conditions ...

Using machine learning, MIT CSAIL, and Project CETI, researchers revealed complex, language-like structures in sperm whale communication with context-sensitive and combinatorial elements. Credit ...

Its services are called upon thousands of times a second to ensure the world's business runs smoothly – but are its mathematics as dependable as we thought?

From predicting who will be a repeat offender to who’s the best candidate for a job, computer algorithms are now making complex decisions in lieu of humans. But increasingly, many of these algorithms ...