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Found 12 dataset(s) matching "nonlinear optimization".
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<p><strong>Overview</strong></p><p>GMAT is a feature rich system containing high fidelity space system models, optimization and targeting,<br />built in...
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Landslide susceptibility maps are essential tools in infrastructure planning, hazard mitigation, and risk reduction. Susceptibility maps trained in one area have been found to be unreliable when...
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<p dir="ltr">This dataset includes all raw data and statistical software code required to reproduce the analyses presented in the manuscript:</p><p dir="ltr">Kannan, N. and Q. D. Read. 2025....
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Examples of adaptive measurement protocols using optimal Bayesian experiment design. This dataset supports "Simplified algorithms for adaptive experiment design in parameter estimation", arXiv...
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An optimal alarm system is simply an optimal level-crossing predictor that can be designed to elicit the fewest false alarms for a fixed detection probability. It currently use Kalman filtering...
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This paper presents a new methodology for automatic knowledge driven data mining based on the theory of Mercer Kernels, which are highly nonlinear symmetric positive definite mappings from the...
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The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design capability for the aerodynamic design...