An algorithm is like a recipe, with a discrete beginning and end and a prescribed sequence of steps leading unambiguously to some desired result. But coming up with the right answer at the end of ...

Basic Concepts in Algorithms focuses on paradigms and methods combining basic programming constructs as building blocks and shows their usefulness in the derivation of algorithms. The coverage of ...

The basic elements of algorithms Every algorithm has inputs and outputs. The output is what you usually see—it’s the result of an algorithm running.

A theory posits that the all of our thoughts are a function of a basic algorithm, N=2^i–1. This development may be huge for AI, since artificial neural networks operate much like the brain ...

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.

Combined with algorithms that can handle such graphs it’s a great way to not only make the basic structure of a network clear, but also to model structures and systems.

Consensus algorithms are the key to keeping these platforms secure despite these bad actors, and there is often a trade-off between cost-efficiency and adhering to the vision of a truly ...