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 ...

Starting at the beginning of the data set, each item of data is examined until a match is made. Once the item is found, the search ends. Suppose we were to search for the value 2. The search would ...

Field-programmable gate arrays (FPGAs) offer a unique platform for the implementation of high-performance sorting algorithms by combining inherent parallelism with customisable hardware architectures.

In this article, we present the bubble sort and merge sort algorithms. We discuss the cycle counts of these algorithms on the Blackfin processor, and show how to reduce the cycle count of the bubble ...

GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...

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 ...

We’re suckers for the kind of “life hacks” that tell you that you’ve been doing some relatively mundane task all wrong, and that there’s a super-easy alternative which can massively speed up your ...

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