Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems. Understand and be able to apply the main ...

A language that's data-intensive naturally should have a way to dig into the data effectively. Here's a look at some of the R functions for searching and sorting through it all. Searching and sorting ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

When you’re trying to learn how an algorithm works, it’s not always easy to visualize what’s going on. Well, except for maybe binary sort, thanks to the phone book. Professor [thatguyer] is a computer ...

A formula used to reorder data into a new sequence. Like all complicated problems, there are many solutions that can achieve the same results, and one sort algorithm can re-sequence data faster than ...

Have you ever thrown around the word algorithm without knowing what it means? When people complain about the Facebook algorithm, the Netflix algorithm, or the Google search algorithm, they don’t ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

Application of object-oriented techniques for systematic problem analysis and specification, design, coding, testing, and documentation. Semester-long project approach emphasizing larger programs.

By making the world's microbial DNA easier to explore, a new sequence alignment tool, LexicMap, lets scientists search for a DNA sequence against millions of bacterial and archaeal genomes in minutes, ...