Version of company’s Gemini 2.5 AI model solved complex real-world problem that stumped human programmers Google DeepMind claims it has made a “historic” artificial intelligence breakthrough akin to ...

Abstract: Many important optimization problems, such as manufacturing scheduling and power system unit commitment, are formulated as Mixed-Integer Linear Programming (MILP) problems. Such problems are ...

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You know what’s fun? Sharpening pencils, organizing a million glue sticks, and trying to explain to a five-year-old why they can’t cut their own bangs during craft time. And by fun, I mean mildly ...

Abstract: This article introduces a new class of memristor neural networks (NNs) for solving, in real-time, quadratic programming (QP) and linear programming (LP) problems. The networks, which are ...

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Roughly, we will cover the following topics (some of them may be skipped depending on the time available). Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear ...

Many important practical computations, such as scheduling, combinatorial, and optimization problems, use techniques known as integer programming to find the best combination of many variables. In ...

Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it. The traveling salesperson problem is one of the oldest ...