Abstract: Hiding sensitive knowledge in transactional databases is a problem that can be addressed through the use of frequent itemset hiding. A well established and robust methodology for hiding ...

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...

I wish I had a nickel for every article I've read announcing the “Death of Linear TV.” Is there nonlinear TV? Choose your own adventure programming? No, there’s not. Generally, when someone talks ...

$$ \begin{array}{ll} \underset{x \in \mathbb{R}^n}{\min} \quad & \langle c, x \rangle \\ \text{s.t.} \quad & L \leq A x \leq U, \\ & l \leq x \leq u . \end{array} $$ Before running the scripts, please ...

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...

NVIDIA's cuOpt leverages GPU technology to drastically accelerate linear programming, achieving performance up to 5,000 times faster than traditional CPU-based solutions. The landscape of linear ...

Linear programming (LP) solvers are crucial tools in various fields like logistics, finance, and engineering, due to their ability to optimize complex problems involving constraints and objectives.

2024’s Q2 reports revealed that linear TV is in dire straits as multiple studios posted abysmal losses related to the business. “The cable networks just are in this horrific, perennial, never-ending ...

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