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 ...

While the answer of TypeScript’s creators is “yes,” academic researchers who work on similar programming languages tend to loudly assert “No, run-time checks should prevent such misapplications.” ...

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We describe a probabilistic graph model and algorithms for analyzing the security of complex networks with the ultimate goal of reducing the probability of successful attacks. Our model naturally ...

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 learning, ...