Abstract: This paper aims at comparing the serial, shared memory parallelization, and distributed memory parallelization of the dynamic programming algorithm for the Knapsack Problem. Knapsack Problem ...

Abstract: Dynamic programming is a fundamental algorithm that can be found in our daily lives easily. One of the dynamic programming algorithm implementations consists of solving the 0/1 knapsack ...

A Consumer Reports and Groundwork Collaborative investigation found that some grocery prices differed by as much as 23 percent per item from one Instacart customer to the next. In an inadvertently ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

Glucopilot dynamic dosing algorithm improved glycemia management, especially among patients with diabetic ketoacidosis, sepsis, and steroid use. SAN FRANCISCO — Using patient-specific data, the ...

Credit: Getty Images Researchers conducted a retrospective analysis to assess hypoglycemia rates among patients receiving IV insulin through a dynamic dosing algorithm. Glucopilot dynamic dosing ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

This is an implementation of the 0-1 knapsack problem in C using dynamic programming. The problem consists of a set of items, each with a weight and a value, and a knapsack with a maximum weight ...