The agents have concave valuation functions parameterized by a scalar ... Assuming that the valuation functions are known, we show that both problems reduce to convex optimization problems, where the ...

Kashyap G, Malik K, Wazir S & Brownlee A (2025) Optimization of the rectangle area inside a concave polygon using PSO and Tabu Search ... to find the largest area of the rectangle inside the convex ...

School of Mathematics and Statistics, Henan University, Jinming Street, Kaifeng 475004, Henan, P. R. China Center for Applied Mathematics of Henan Province, Henan ...

If we want streaming video to mature into the future of how we deliver television, we need to start focusing on optimization, and less on innovation.

Luckily, you can make the shift from traditional SEO tactics to something more useful: artificial intelligence search optimization. I'll walk you through what you need to know. These are all still ...

Abstract: The low-thrust minimum-fuel trajectory optimization problem is solved in a high-fidelity model using convex optimization. The problem is convexified and discretized with the first-order-hold ...

Lead optimization is the process by which a drug candidate is designed after an initial lead compound is identified. The process involves iterative rounds of synthesis and characterisation of a ...

An isoquant curve, because of the MRTS effect, is convex to its origin. This indicates that factors of production may be substituted with one another. The increase in one factor must be used in ...