A high-performance CUDA implementation of the knapsack problem using various optimization techniques including Meet-in-the-Middle (MITM) and Multiple-Choice Knapsack Problem (MCKP) approaches.

Solving knapsack using the dynamic programming approach. What is dynamic programming? We compute all the possible outcomes of a solution to find the solution, however we store previous solutions so ...

The following questions have guided me, and they can help you gauge where your FinOps practice stands—and more importantly, ...

International Business Machines Chief Executive Arvind Krishna said the tech giant has used artificial intelligence, and specifically AI agents, to replace the work of a couple hundred human ...

Such networks usually have dynamic and fluidic ... technique called sequential linear programming that is extensively applied and studied in various engineering problems. In comparison to related ...

Abstract: Exploring dynamic patterns from complex and large-scale networks is a significant and challenging task in graph analysis. One of the most advanced solutions is dynamic graph representation ...