Our model naturally utilizes a scalable state-of-the-art optimization technique called sequential linear programming that is extensively applied and studied in various engineering problems. In ...

Upgrade your Excel skills with smarter tools like XLOOKUP and dynamic arrays. Save time, reduce errors, and simplify complex ...

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Daring Fireball’s John Gruber discusses the future of the App Store and why Apple’s court losses are such a big deal.

The model provides a rough estimation of risk, Jimenez cautions. (Of course, no model can explain exactly what will happen in reality.) Still, it can provide valuable clues to the relative risks ...

A research team from Kumamoto University has developed a promising deep learning model that significantly ... However, conventional Graph Neural Networks (GNNs) often struggle with accuracy ...

Abstract: Precise dynamic model calibration is essential in achieving reliable control of unmanned aerial vehicles (UAV). However, the existing methods tend to use simplified dynamic models and cannot ...

To solve the model, a proxy-based optimization approach is proposed, where a semiparametric statistical method (i.e., clusterwise linear regression) is used to create a set of rapid-response and ...

This self-contained book features innovative applications of Excel commands, equations, formulas, and graphics. In addition, the exposition of the basic concepts, models, and interpretations are ...