Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

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

The trajectory of books about new technologies follows a similar pattern: first, hype; then, backlash; then, finally, a more considered view of what it might actually be good for. The first hype books ...

In today’s code-driven era, C++ remains an unshakable cornerstone for many programmers due to its outstanding performance and ...

You might not have ever heard of the programming language R but, if you’re doing data analysis, it might be just the language you need. And this particular book on R is one that is likely to teach you ...

This paper presents the results of experimentation on the development of an efficient branch-and-bound algorithm for the solution of zero-one linear mixed integer programming problems. An implicit ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The advance of quantum computing has the promise of reshaping artificial ...

Algorithms affect our daily lives more than we care to think and, most of the time, we don’t even know it. We use algorithms in our daily commute to work, or as you cook your favorite Gordon Ramsey ...