Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

CLEVELAND, Ohio — The Guardians are once again being underestimated by baseball’s most sophisticated projection systems, a familiar and increasingly puzzling trend that was discussed in depth on the ...

Baseball Prospectus’ PECOTA (Player Empirical Comparison and Optimization Test Algorithm) standings projections are out.

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Footprints are among the most common kind of dinosaur fossils. Sometimes scientists find a single, lonely footprint. Sometimes they come across a chaotic jumble of tracks resembling a dance floor, ...

What would you like to Propose? I would like to propose adding a new sorting algorithm — Tournament Sort — in the sorts package. Tournament Sort is a comparison-based sorting algorithm that simulates ...

Sorting tasks are ubiquitous in numerous applications. CPU/GPU or ASIC-based sorting systems employ massive comparison units. The performance is limited by CMOS devices and the bandwidth between ...

Abstract: Sorting algorithms are fundamental to computational efficiency, with traditional methods like Quick Sort, Merge Sort, and Heap Sort being widely used despite their complexity and performance ...

Abstract: Fault tolerance techniques often presume that the end-user computation must complete flawlessly. Though such strict correctness is natural and easy to explain, it's increasingly unaffordable ...