ABSTRACT: The traditional linear programming model is deterministic. The way that uncertainty is handled is to compute the range of optimality. After the optimal solution is obtained, typically by the ...

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Richard R. Nelson, Degeneracy in Linear Programming: A Simple Geometric Interpretation, The Review of Economics and Statistics, Vol. 39, No. 4 (Nov., 1957), pp. 402-407 ...

In this paper, we consider the local asymptotics of the nonparametric function in a partially linear model, within the framework of the divide-and-conquer estimation. Unlike the fixed-dimensional ...

Early and accurate detection of melanoma remains a critical challenge in medical imaging. Convolutional Neural Networks (CNNs) have demonstrated superior classification performance, often surpassing ...

CBD creams can be effective for temporary pain relief. However, more research is needed overall. Our testers found temporary relief with some CBD pain creams, but they worked best when coupled ...

The main goal of this paper is to present a methodology to design multi-objective H∞/r -stability interval estimation for linear discrete-time systems affected by bounded, but unknown disturbances.