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 ...

Julia and Python recursion algorithm, fractal geometry and dynamic programming applications including Edit Distance, Knapsack (Multiple Choice), Stock Trading, Pythagorean Tree, Koch Snowflake, ...

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 ...

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...

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 ...

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 ...